Best Coding Interview Courses

Find the best online Coding Interview Courses for you. The courses are sorted based on popularity and user ratings. We do not allow paid placements in any of our rankings. We also have a separate page listing only the Free Coding Interview Courses.

Master the Coding Interview: Data Structures + Algorithms

Ultimate coding interview bootcamp. Get more job offers, negotiate a raise: Everything you need to get the job you want!

Created by Andrei Neagoie - Senior Software Developer / Founder of zerotomastery.io

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Students: 110622, Price: $89.99

Students: 110622, Price:  Paid

Updated for 2021 hiring season! Join a live online community of over 400,000+ developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto as a senior developer. Graduates of this course are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook + other top tech companies.

Want to land a job at a great tech company like Google, Microsoft, Facebook, Netflix, Amazon, or other companies but you are intimidated by the interview process and the coding questions? Do you find yourself feeling like you get "stuck" every time you get asked a coding question? This course is your answer. Using the strategies, lessons, and exercises in this course, you will learn how to land offers from all sorts of companies.

Many developers who are "self taught", feel that one of the main disadvantages they face compared to college educated graduates in computer science is the fact that they don't have knowledge about algorithms, data structures and the notorious Big-O Notation. Get on the same level as someone with computer science degree by learning the fundamental building blocks of computer science which will give you a big boost during interviews. You will also get access to our private online chat community with thousands of developers online to help you get through the course.

Here is what you will learn in this course:

Technical:

1. Big O notation

2. Data structures:

* Arrays
* Hash Tables
* Singly Linked Lists
* Doubly Linked Lists
* Queues
* Stacks
* Trees (BST, AVL Trees, Red Black Trees, Binary Heaps)
* Tries
* Graphs

3. Algorithms:

* Recursion
* Sorting
* Searching
* Tree Traversal
* Breadth First Search
* Depth First Search
* Dynamic Programming

Non Technical:

- How to get more interviews
- What to do during interviews
- What do do after the interview
- How to answer interview questions
- How to handle offers
- How to negotiate your salary
- How to get a raise

Unlike most instructors, I am not a marketer or a salesperson. I am a senior developer and programmer who has worked and managed teams of engineers and have been in these interviews both as an interviewee as well as the interviewer.

My job as an instructor will be successful if I am able to help you become better at interviewing and land more jobs. This one skill can really change the course of your career and I hope you sign up today to see what it can do for your career!

Taught by:

Andrei is the instructor of the highest rated Web Development course on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, JP Morgan, IBM, etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. 

Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time.   Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. 

Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. 

Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible.  

See you inside the courses!

JavaScript Algorithms and Data Structures Masterclass

The Missing Computer Science and Coding Interview Bootcamp

Created by Colt Steele - Developer and Bootcamp Instructor

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Students: 85352, Price: $89.99

Students: 85352, Price:  Paid

Updated in November 2018 with brand new section on Dynamic Programming!

This course crams months of computer science and interview prep material into 20 hours of video. The content is based directly on last semester of my in-person coding bootcamps, where my students go on to land 6-figure developer jobs. I cover the exact same computer science content that has helped my students ace interviews at huge companies like Google, Tesla, Amazon, and Facebook. Nothing is watered down for an online audience; this is the real deal :)   We start with the basics and then eventually cover “advanced topics” that similar courses shy away from like Heaps, Graphs, and Dijkstra’s Shortest Path Algorithm

I start by teaching you how to analyze your code’s time and space complexity using Big O notation.  We cover the ins and outs of Recursion.  We learn a 5-step approach to solving any difficult coding problem. We cover common programming patterns. We implement popular searching algorithms. We write 6 different sorting algorithms: Bubble, Selection, Insertion, Quick, Merge, and Radix Sort.   Then, we switch gears and implement our own data structures from scratch, including linked lists, trees, heaps, hash tables, and graphs.  We learn to traverse trees and graphs, and cover Dijkstra's Shortest Path Algorithm.  The course also includes an entire section devoted to Dynamic Programming.

Here's why this course is worth your time:

  • It's interactive -  I give you a chance to try every problem before I show you my solution.

  • Every single problem has a complete solution walkthrough video as well as accompanying solution file.

  • I cover helpful "tips and tricks" to solve common problems, but we also focus on building an approach to ANY problem.

  • It's full of animations and beautiful diagrams!

Are you looking to level-up your developer skills? Sign up today!

The Coding Interview Bootcamp: Algorithms + Data Structures

Ace your next Javascript coding interview by mastering data structures and algorithms.

Created by Stephen Grider - Engineering Architect

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Students: 79343, Price: $89.99

Students: 79343, Price:  Paid

Data Structures? They're here.  Algorithms?  Covered.  Lots of questions with well-explained solutions?  Yep!

If you're nervous about your first coding interview, or anxious about applying to your next job, this is the course for you.  I got tired of interviewers asking tricky questions that can only be answered if you've seen the problem before, so I made this course!  This video course will teach you the most common interview questions that you'll see in a coding interview, giving you the tools you need to ace your next whiteboard interview.

Coding interviews are notoriously intimidating, but there is one method to become a better interviewer - and that is practice!  Practicing dozens of interview questions is what makes the difference between a job offer for a $120k USD and another rejection email.  This course is going to not only give you dozens of questions to practice on, but it will also make sure you understand the tricks behind solving each question, so you’ll be able to perform in a real interview.

I have spent many hours combing through interview questions asked at Google, Facebook, and Amazon to make sure you know how to answer questions asked by the most well-paying companies out there.  No stone is left unturned, as we discuss everything from the simplest questions all the way to the most complex algorithm questions.

In this course, you'll get:

  • Clear, well-diagramed explanations for every single problem to make sure you understand the solution
  • An overview of the most important data structures to know about.  These are presented for people without a CS degree.
  • A huge collection of common algorithm questions, including everything from 'reversing a string' to 'determine the width of a BST'
  • Sensible strategies for tackling systems design problems
  • Insider tips on answering what interviewers area really looking for
  • Constant support on the Udemy Q&A forums from me!

My goal in this course is to help you defeat those interviewers who ask nasty algorithm questions.  Sign up today, and be the cutting edge engineer who will be prepared to get a high paying job

Data Structure and Algorithms Analysis – Job Interview

Write code run faster, use less memory and prepare for Software Engineer Interview with real interview questions

Created by Dr. Hussein Alrubaye - Senior Software Engineer

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Students: 65966, Price: $19.99

Students: 65966, Price:  Paid

This course prepared depending on my real Software Engineer job interviews experiences with Google, Microsoft, Amazon, and Snapchat.

In this course you will learn how to Analysis algorithms like Sorting, Searching,  and Graph algorithms. And how to reduce the code complexity from one Big-O  level to another level. Furthermore, you will learn different type of Data Structure for your code. Also you will learn how to find Big-O for every data structure, and how to apply  correct Data Structure to your problem in Java. By the end you will be able to write code that run faster and use low memory. You Also will learn  how to analysis problems using Dynamic programming. 

We will discus code complexity in Different algorithms like Sorting algorithms ( Bubble, Merge, Heap, and quick sort) , searching algorithms ( Binary search, linear search, and Interpolation), Graph algorithms( Binary tree, DFS, BFS, Nearest Neighbor and Shortest path, Dijkstra's Algorithm, and A* Algorithm). and Data Structure like Dynamic Array, Linked List, Stack, Queue, and Hash-Table

Python for Data Structures, Algorithms, and Interviews!

Get a kick start on your career and ace your coding interviews!

Created by Jose Portilla - Head of Data Science, Pierian Data Inc.

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Students: 65464, Price: $109.99

Students: 65464, Price:  Paid

PLEASE NOTE: IF YOU ARE A COMPLETE BEGINNER TO PYTHON, CHECK OUT MY OTHER COURSE: COMPLETE PYTHON BOOTCAMP TO LEARN PYTHON!

Welcome to Python for Data Structures, Algorithms and Interviews!

This is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms! This course takes advantage of the easy to read Python programming language to efficiently teach you what you need to know to land the tech job of your dreams!

This course will teach you everything you need to know to get a great job in the software technology field, including:

  • Creating a great resume
  • Creating LinkedIn and GitHub profiles for recruiters to find
  • Building and leveraging a network for job opportunities
  • The latest job searching tools available online
  • Non-Technical Interview Questions and Answers
  • Post-Interview topics (Salary Negotiation and References Preparation)
  • Jupyter Notebooks Overview
  • Algorithm Analysis and Big-O Notation
  • Array Sequences
  • Stacks Queues and Deques
  • Linked Lists
  • Recursion
  • Trees
  • Searching and Sorting Algorithms
  • Graph Algorithms
  • Riddles and Brainteasers
  • 4 Mock Interviews!

Achieve your career goals and get a fantastic job in technology by enrolling in this course!

LeetCode in Java: Algorithms Coding Interview Questions

Ace your next coding interview by solving essential coding interview questions and get an offer from big tech company.

Created by Md. A. Barik - Software Engineer

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Students: 55369, Price: $99.99

Students: 55369, Price:  Paid

Welcome to "LeetCode in Java: Algorithms Coding Interview Questions" course!

In this course, you'll have a detailed, step by step explanation of classical hand-picked LeetCode Problems where you'll learn about the optimum ways to solve technical coding interview question. This is the course I wish I had when I was preparing myself for the interviews. This course comes with a 30-day money-back guarantee. So nothing to lose!

What is LeetCode?

LeetCode is a huge repository of real interview questions asked by the most popular tech industries( Google, Amazon, Facebook, Microsoft, Apple, Quora, LinkedIn, Bloomberg, Uber, Goldman Sachs, Twitter and more ).

Interviewers from the most popular companies(like Google, Amazon, Facebook, Uber, Twitter etc.) often directly ask questions they find on LeetCode. It's hard to navigate through the large amount of problems(around 1500) to most important questions, this is what this course stand for.

I spent countless hours on LeetCode. From my experience, I'm telling you that you don't have to do the all problem and still be able to get a job at a big tech industry.

By the time you're finished with the course, you will be prepared for common technical coding interview questions.

See you inside the course!

Data Structures and Algorithms for Coding Interview

Build your strong understanding in data structures and algorithms for coding interview. Get more job offer.

Created by Md. A. Barik - Software Engineer

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Students: 23568, Price: $24.99

Students: 23568, Price:  Paid

Welcome to "Data Structures and Algorithms for Coding Interview" course.

Want to land a job at a great tech industry like Google, Microsoft, Facebook, Netflix, Amazon, or other industries but you are intimidated by the foundation of data structures and algorithms skills for the job?

Many programmers who are "self taught", feel that one of the main disadvantages they face compared to college educated graduates in computer science is the fact that they don't have knowledge about algorithms, data structures and the notorious Big-O Notation. Get on the same level as someone with computer science degree by learning the fundamental building blocks of computer science which will give you a big boost during interviews.

Here is what you will learn in this course:

>> Algorithm Run Time Analysis - Big O - O(n) Notation

>> Array (1D, 2D Array)

>> Linked List (All Types of Linked List)

>> Stack Data Structure

>> Queue Data Structure

>> Binary Tree (Array, Linked List Implementation, BFS/DFS Traversal and more)

>> Binary Search Tree

>> Binary Heap

>> AVL Tree

>> Trie Data Structure

>> Searching Algorithms

>> Recursion

>> Sorting Algorithms

>> Dynamic Programming

>> Hashing*

>> Graph*

Unlike most instructors, I am not a marketer or a salesperson. I am a self taught programmer(I studied statistics not computer science) who has worked and managed teams of engineers and have been in these interviews both as an interviewee as well as the interviewer.

Taking his experience in educational statistics and coding, Barik's courses will take you on an understanding of complex subjects that you never thought.

We have 30 days money back guarantee, so nothing to lose here.

See you inside the courses!

Learning Algorithms in JavaScript from Scratch

Make your code & programs faster and more efficient by using algorithms. Be very well prepared for technical interviews.

Created by Eric Traub - Software Engineer and Instructor

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Students: 20476, Price: $99.99

Students: 20476, Price:  Paid

This course teaches algorithms in javascript from the ground up.  Using algorithms in your programming allows you to improve the efficiencyperformancespeed, and scalability of your code/applications/programs.  You will learn what algorithms are, why they are important, and how to code them out in JavaScript.  You will also learn other important programming concepts along the way such as functional programming, time complexity, recursion, and other important concepts, because you will be implementing them in the algorithms that you build throughout this course.  This course also heavily uses diagrams and animations to help make understanding the material easier.

This course is also very good for anyone who is interviewing for developer/engineering jobs at both large and small companies.  Interviewers will very often ask candidates to write algorithms out in code, and this course will prepare you very well to do that.  If you have recently graduated from a coding bootcamp or are currently looking for a job, you will find this course to be beneficial.  Knowing algorithms will absolutely help you to excel in technical interviews.

Master the Coding Interview: Big Tech (FAANG) Interviews

Ace the Google, Amazon, Facebook, Microsoft, Netflix coding interviews. Step by step guide for their toughest questions!

Created by Andrei Neagoie - Senior Software Developer / Founder of zerotomastery.io

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Students: 19960, Price: $89.99

Students: 19960, Price:  Paid

Brand new course ready for the 2021 hiring season! Join a live online community of over 500,000+ engineers and a course taught by industry experts that have actually worked both in Silicon Valley and Toronto at top tech firms. Graduates of ZTM courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook + other top tech companies.

This is one student 1 month after taking this course:
"I joined the course when it came out, and after a couple of months studying, practice, and more practice, losing sleep and everything I'm proud to say that I got an offer from GOOGLE!! I still can't believe it, it's incredibly surreal. And I can't thank you and this entire community enough for what you've given me. This year is notorious for how tumultuous it's been, but it's seriously has been a test from the first second of this year.. I've shed many, many tears these past 12 months and could write a book on the experience this year. but i just want to Thank you, thank you, thank you from the bottom of my heart for providing me (and this community) the resources needed to realize my potential that I honestly never saw in myself.. and now that I know i can get this far, I know that this is only the beginning.."

Want to land a job at a great tech company like Google, Microsoft, Facebook, Netflix, Amazon, or other companies but you are intimidated by the interview process and the coding questions? Do you find yourself feeling like you get "stuck" every time you get asked a coding question? This course is your answer. Using the strategies, lessons, and exercises in this course, you will learn how to land offers from all sorts of companies. This is the ultimate resource to prepare you for coding interviews. Everything you need in one place!

The goal of the course isn't to tell you: "Do 100 interview questions and hope you memorize their answers." NO! Our goal is to use the hand selected common interview questions to give you a framework to answer ANY interview question that these companies may throw at you. Instead of trying to memorize common questions, we teach you the principles and fundamentals that you can use to notice certain common patterns in questions so that any question that you get, you have a framework to answer and be confident in your programming interview.

You will also get access to our private online community with thousands of developers online to help you get through the course and the interview!

Here is what you will learn to use in this course while answering the interview questions step by step with us:

----Technical----

1. Big O Notation

2. Data Structures Used:

  * Arrays

  * Hash Tables

  * Singly linked lists

  * Doubly linked lists

  * Stacks

  * Queues

  * Binary Trees

  * Binary Search Trees

  * Tries

  * N-ary Trees

  * Min/Max Heaps

  * Priority Queues

  * 2-D Arrays/ Matrices

  * Graphs

  * Adjacency List

  * Adjacency Matrix

  * Interface Design

3. Algorithmic Paradigms Used:

  * Recursion

  * Sorting

  * Searching

  * Tree Traversals

  * Graph Traversals

  * Breadth First Search

  * Depth First Search

  * Divide and Conquer

  * Greedy Method

  * Dynamic Programming

  * Backtracking

4. Specific Algorithms Used:

  * Hoare's Quickselect Algorithm

  * Floyd's Tortoise and Hare Cycle Detection Algorithm

  * Bellman-Ford Algorithm

  * Dijkstra's Algorithm

  * Topological Sort

Unlike most instructors out there, We are not marketers or salespeople. We are senior engineers and programmers who have worked and managed teams of engineers and have been in these interviews both as an interviewee as well as the interviewer.

Our job as instructors will be successful if we are able to help you get your dream job at a big company. This one skill of mastering the coding interview can really change the course of your career and life and we hope you sign up today to see what it can do for your career!

See you inside the course!

Taught by:

Andrei is the instructor of the highest rated Web Development course on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, JP Morgan, IBM, etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. 

Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time.   Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. 

Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. 

Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible.  

-------

Yihua Zhang is one of the Instructors of Zero To Mastery, one of the highest rated and fastest growing Web Development academies on Udemy. He has been working as a software developer for numerous years in Toronto for some of the largest tech companies in the world. He has also been working as an instructor for more than a decade. He is focused on bringing everything he has learned to help you achieve a new career as a developer, but also give you all the fundamental skills required to flourish in this incredible industry.

Yihua is a self taught developer, so he fully understands the challenges and mindset of coming into this industry from various other backgrounds. He has been on both sides of the table, as both an instructor and student numerous times so he can empathize with the difficulty of learning something new and challenging. Learning itself is a skill that needs to be practiced and improved upon, and he is dedicated to helping you improve and master that skill for yourself. Courses need to be practical, you need to be able to understand why you are learning the things that you are being taught. You need to understand the problem before you know the solution, and he prides himself on teaching you how to build professional, real world applications so you truly understand why you are doing things a specific way. He will teach you the mindset and skillset required to grow as a developer as fast as possible, so you can have the rich and fulfilling life that comes with this career.

Yihua's courses will guide you to build beautifully written and richly featured applications, while truly understanding all the complex concepts you will encounter along the way.

The Complete Data Structures and Algorithms Course in Python

Data Structures and Algorithms from Zero to Hero and Crack Top Companies 100+ Interview questions (Python Coding)

Created by Elshad Karimov - Software Developer and Lead Instructor

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Students: 18878, Price: $89.99

Students: 18878, Price:  Paid

Welcome to the Complete Data Structures and Algorithms in Python Bootcamp, the most modern, and the most complete Data Structures and Algorithms in Python course on the internet.

At 40+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Python. You will see 100+ Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft and how to face Interviews with comprehensive visual explanatory video materials which will bring you closer towards landing the tech job of your dreams!

Learning Python is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high level programming language.

We'll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer.

After finishing this course, you will be able to:

Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges.

Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications

Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets

Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.

Why this course is so special and different from any other resource available online?

This course will take you from very beginning to a very complex and advanced topics in understanding Data Structures and Algorithms!

You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course.

You will also see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft.

I cover everything you need to know about technical interview process!

So whether you are interested in learning the top programming language in the world in-depth

And interested in learning the fundamental Algorithms, Data Structures and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you!

And this is what you get by signing up today:

Lifetime access to 40+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want

Friendly and fast support in the course Q&A whenever you have questions or get stuck

FULL money back guarantee for 30 days!

Who is this course for?

Self-taught programmers who have a basic knowledge in Python and want to be professional in Data Structures and Algorithms and begin interviewing in tech positions!

As well as students currently studying computer science and want supplementary material on Data Structures and Algorithms and interview preparation for after graduation!

As well as professional programmers who need practice for upcoming coding interviews.

And finally anybody interested in learning more about data structures and algorithms or the technical interview process!

This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structures and Algorithms , increase your earning potential or just want a job with more freedom, this is the right course for you!

The topics that are covered in this course.

Section 1 - Introduction

  • What are Data Structures?

  • What is an algorithm?

  • Why are Data Structures and Algorithms important?

  • Types of Data Structures

  • Types of Algorithms

Section 2 - Recursion

  • What is Recursion?

  • Why do we need recursion?

  • How Recursion works?

  • Recursive vs Iterative Solutions

  • When to use/avoid Recursion?

  • How to write Recursion in 3 steps?

  • How to find Fibonacci numbers using Recursion?

Section 3 - Cracking Recursion Interview Questions

  • Question 1 - Sum of Digits

  • Question 2 - Power

  • Question 3 - Greatest Common Divisor

  • Question 4 - Decimal To Binary

Section 4 - Bonus CHALLENGING Recursion Problems (Exercises)

  • power

  • factorial

  • productofArray

  • recursiveRange

  • fib

  • reverse

  • isPalindrome

  • someRecursive

  • flatten

  • captalizeFirst

  • nestedEvenSum

  • capitalizeWords

  • stringifyNumbers

  • collectStrings

Section 5 - Big O Notation

  • Analogy and Time Complexity

  • Big O, Big Theta and Big Omega

  • Time complexity examples

  • Space Complexity

  • Drop the Constants and the non dominant terms

  • Add vs Multiply

  • How to measure the codes using Big O?

  • How to find time complexity for Recursive calls?

  • How to measure Recursive Algorithms that make multiple calls?

Section 6 - Top 10 Big O Interview Questions (Amazon, Facebook, Apple and Microsoft)

  • Product and Sum

  • Print Pairs

  • Print Unordered Pairs

  • Print Unordered Pairs 2 Arrays

  • Print Unordered Pairs 2 Arrays 100000 Units

  • Reverse

  • O(N)  Equivalents

  • Factorial Complexity

  • Fibonacci Complexity

  • Powers of 2

Section 7 - Arrays

  • What is an Array?

  • Types of Array

  • Arrays in Memory

  • Create an Array

  • Insertion Operation

  • Traversal Operation

  • Accessing an element of Array

  • Searching for an element in Array

  • Deleting an element from Array

  • Time and Space complexity of One Dimensional Array

  • One Dimensional Array Practice

  • Create Two Dimensional Array

  • Insertion - Two Dimensional Array

  • Accessing an element of Two Dimensional Array

  • Traversal - Two Dimensional Array

  • Searching for an element in Two Dimensional Array

  • Deletion - Two Dimensional Array

  • Time and Space complexity of Two Dimensional Array

  • When to use/avoid array

Section 8 - Python Lists

  • What is a List? How to create it?

  • Accessing/Traversing a list

  • Update/Insert a List

  • Slice/ from a List

  • Searching for an element in a List

  • List Operations/Functions

  • Lists and strings

  • Common List pitfalls and ways to avoid them

  • Lists vs Arrays

  • Time and Space Complexity of List

  • List Interview Questions

Section 9 - Cracking Array/List Interview Questions (Amazon, Facebook, Apple and Microsoft)

  • Question 1 - Missing Number

  • Question 2 - Pairs

  • Question 3 - Finding a number in an Array

  • Question 4 - Max product of two int

  • Question 5 - Is Unique

  • Question 6 - Permutation

  • Question 7 - Rotate Matrix

Section 10 - CHALLENGING Array/List Problems (Exercises)

  • Middle Function

  • 2D Lists

  • Best Score

  • Missing Number

  • Duplicate Number

  • Pairs

Section 11 - Dictionaries

  • What is a Dictionary?

  • Create a Dictionary

  • Dictionaries in memory

  • Insert /Update an element in a Dictionary

  • Traverse through a Dictionary

  • Search for an element in a Dictionary

  • Delete / Remove an element from a Dictionary

  • Dictionary Methods

  • Dictionary operations/ built in functions

  • Dictionary vs List

  • Time and Space Complexity of a Dictionary

  • Dictionary Interview Questions

Section 12 - Tuples

  • What is a Tuple? How to create it?

  • Tuples in Memory / Accessing an element of Tuple

  • Traversing a Tuple

  • Search for an element in Tuple

  • Tuple Operations/Functions

  • Tuple vs List

  • Time and Space complexity of Tuples

  • Tuple Questions

Section 13 - Linked List

  • What is a Linked List?

  • Linked List vs Arrays

  • Types of Linked List

  • Linked List in the Memory

  • Creation of Singly Linked List

  • Insertion in Singly Linked List in Memory

  • Insertion in Singly Linked List Algorithm

  • Insertion Method in Singly Linked List

  • Traversal of Singly Linked List

  • Search for a value in Single Linked List

  • Deletion of node from Singly Linked List

  • Deletion Method in Singly Linked List

  • Deletion of entire Singly Linked List

  • Time and Space Complexity of Singly Linked List

Section 14 - Circular Singly Linked List

  • Creation of Circular Singly Linked List

  • Insertion in Circular Singly Linked List

  • Insertion Algorithm in Circular Singly Linked List

  • Insertion method in Circular Singly Linked List

  • Traversal of Circular Singly Linked List

  • Searching a node in Circular Singly Linked List

  • Deletion of a node from Circular Singly Linked List

  • Deletion Algorithm in Circular Singly Linked List

  • Method in Circular Singly Linked List

  • Deletion of entire Circular Singly Linked List

  • Time and Space Complexity of Circular Singly Linked List

Section 15 - Doubly Linked List

  • Creation of Doubly Linked List

  • Insertion in Doubly Linked List

  • Insertion Algorithm in Doubly Linked List

  • Insertion Method in Doubly Linked List

  • Traversal of Doubly Linked List

  • Reverse Traversal of Doubly Linked List

  • Searching for a node in Doubly Linked List

  • Deletion of a node in Doubly Linked List

  • Deletion Algorithm in Doubly Linked List

  • Deletion Method in Doubly Linked List

  • Deletion of entire Doubly Linked List

  • Time and Space Complexity of Doubly Linked List

Section 16 - Circular Doubly Linked List

  • Creation of Circular Doubly Linked List

  • Insertion in Circular Doubly Linked List

  • Insertion Algorithm in Circular Doubly Linked List

  • Insertion Method in Circular Doubly Linked List

  • Traversal of Circular Doubly Linked List

  • Reverse Traversal of Circular Doubly Linked List

  • Search for a node in Circular Doubly Linked List

  • Delete a node from Circular Doubly Linked List

  • Deletion Algorithm in Circular Doubly Linked List

  • Deletion Method in Circular Doubly Linked List

  • Entire Circular Doubly Linked List

  • Time and Space Complexity of Circular Doubly Linked List

  • Time Complexity of Linked List vs Arrays

Section 17 - Cracking Linked List Interview Questions (Amazon, Facebook, Apple and Microsoft)

  • Linked List Class

  • Question 1 - Remove Dups

  • Question 2 - Return Kth to Last

  • Question 3 - Partition

  • Question 4 - Sum Linked Lists

  • Question 5 - Intersection

Section 18 - Stack

  • What is a Stack?

  • Stack Operations

  • Create Stack using List without size limit

  • Operations on Stack using List (push, pop, peek, isEmpty, )

  • Create Stack with limit (pop, push, peek, isFull, isEmpty, )

  • Create Stack using Linked List

  • Operation on Stack using Linked List (pop, push, peek, isEmpty, )

  • Time and Space Complexity of Stack using Linked List

  • When to use/avoid Stack

  • Stack Quiz

Section 19 - Queue

  • What is Queue?

  • Queue using Python List - no size limit

  • Queue using Python List - no size limit , operations (enqueue, dequeue, peek)

  • Circular Queue - Python List

  • Circular Queue - Python List, Operations (enqueue, dequeue, peek, )

  • Queue - Linked List

  • Queue - Linked List, Operations (Create, Enqueue)

  • Queue - Linked List, Operations (Dequeue(), isEmpty, Peek)

  • Time and Space complexity of Queue using Linked List

  • List vs Linked List Implementation

  • Collections Module

  • Queue Module

  • Multiprocessing module

Section 20 - Cracking Stack and Queue Interview Questions (Amazon,Facebook, Apple, Microsoft)

  • Question 1 - Three in One

  • Question 2 - Stack Minimum

  • Question 3 - Stack of Plates

  • Question 4 - Queue via Stacks

  • Question 5 - Animal Shelter

Section 21 - Tree / Binary Tree

  • What is a Tree?

  • Why Tree?

  • Tree Terminology

  • How to create a basic tree in Python?

  • Binary Tree

  • Types of Binary Tree

  • Binary Tree Representation

  • Create Binary Tree (Linked List)

  • PreOrder Traversal Binary Tree (Linked List)

  • InOrder Traversal Binary Tree (Linked List)

  • PostOrder Traversal Binary Tree (Linked List)

  • LevelOrder Traversal Binary Tree (Linked List)

  • Searching for a node in Binary Tree (Linked List)

  • Inserting a node in Binary Tree (Linked List)

  • Delete a node from Binary Tree (Linked List)

  • Delete entire Binary Tree (Linked List)

  • Create Binary Tree (Python List)

  • Insert a value Binary Tree (Python List)

  • Search for a node in Binary Tree (Python List)

  • PreOrder Traversal Binary Tree (Python List)

  • InOrder Traversal Binary Tree (Python List)

  • PostOrder Traversal Binary Tree (Python List)

  • Level Order Traversal Binary Tree (Python List)

  • Delete a node from Binary Tree (Python List)

  • Entire Binary Tree (Python List)

  • Linked List vs Python List Binary Tree

Section 22 - Binary Search Tree

  • What is a Binary Search Tree? Why do we need it?

  • Create a Binary Search Tree

  • Insert a node to BST

  • Traverse BST

  • Search in BST

  • Delete a node from BST

  • Delete entire BST

  • Time and Space complexity of BST

Section 23 - AVL Tree

  • What is an AVL Tree?

  • Why AVL Tree?

  • Common Operations on AVL Trees

  • Insert a node in AVL (Left Left Condition)

  • Insert a node in AVL (Left Right Condition)

  • Insert a node in AVL (Right Right Condition)

  • Insert a node in AVL (Right Left Condition)

  • Insert a node in AVL (all together)

  • Insert a node in AVL (method)

  • Delete a node from AVL (LL, LR, RR, RL)

  • Delete a node from AVL (all together)

  • Delete a node from AVL (method)

  • Delete entire AVL

  • Time and Space complexity of AVL Tree

Section 24 - Binary Heap

  • What is Binary Heap? Why do we need it?

  • Common operations (Creation, Peek, sizeofheap) on Binary Heap

  • Insert a node in Binary Heap

  • Extract a node from Binary Heap

  • Delete entire Binary Heap

  • Time and space complexity of Binary Heap

Section 25 - Trie

  • What is a Trie? Why do we need it?

  • Common Operations on Trie (Creation)

  • Insert a string in Trie

  • Search for a string in Trie

  • Delete a string from Trie

  • Practical use of Trie

Section 26 - Hashing

  • What is Hashing? Why do we need it?

  • Hashing Terminology

  • Hash Functions

  • Types of Collision Resolution Techniques

  • Hash Table is Full

  • Pros and Cons of Resolution Techniques

  • Practical Use of Hashing

  • Hashing vs Other Data structures

Section 27 - Sort Algorithms

  • What is Sorting?

  • Types of Sorting

  • Sorting Terminologies

  • Bubble Sort

  • Selection Sort

  • Insertion Sort

  • Bucket Sort

  • Merge Sort

  • Quick Sort

  • Heap Sort

  • Comparison of Sorting Algorithms

Section 28 - Searching Algorithms

  • Introduction to Searching Algorithms

  • Linear Search

  • Linear Search in Python

  • Binary Search

  • Binary Search in Python

  • Time Complexity of Binary Search

Section 29 - Graph Algorithms

  • What is a Graph? Why Graph?

  • Graph Terminology

  • Types of Graph

  • Graph Representation

  • Create a graph using Python

  • Graph traversal - BFS

  • BFS Traversal in Python

  • Graph Traversal - DFS

  • DFS Traversal in Python

  • BFS Traversal vs DFS Traversal

  • Topological Sort

  • Topological Sort Algorithm

  • Topological Sort in Python

  • Single Source Shortest Path Problem (SSSPP)

  • BFS for Single Source Shortest Path Problem (SSSPP)

  • BFS for Single Source Shortest Path Problem (SSSPP) in Python

  • Why does BFS not work with weighted Graphs?

  • Why does DFS not work for SSSP?

  • Dijkstra's Algorithm for SSSP

  • Dijkstra's Algorithm in Python

  • Dijkstra Algorithm with negative cycle

  • Bellman Ford Algorithm

  • Bellman Ford Algorithm with negative cycle

  • Why does Bellman Ford run V-1 times?

  • Bellman Ford in Python

  • BFS vs Dijkstra vs Bellman Ford

  • All pairs shortest path problem

  • Dry run for All pair shortest path

  • Floyd Warshall Algorithm

  • Why Floyd Warshall?

  • Floyd Warshall with negative cycle,

  • Floyd Warshall in Python,

  • BFS vs Dijkstra vs Bellman Ford vs Floyd Warshall,

  • Minimum Spanning Tree,

  • Disjoint Set,

  • Disjoint Set in Python,

  • Kruskal Algorithm,

  • Kruskal Algorithm in Python,

  • Prim's Algorithm,

  • Prim's Algorithm in Python,

  • Prim's vs Kruskal

Section 30 - Greedy Algorithms

  • What is Greedy Algorithm?

  • Well known Greedy Algorithms

  • Activity Selection Problem

  • Activity Selection Problem in Python

  • Coin Change Problem

  • Coin Change Problem in Python

  • Fractional Knapsack Problem

  • Fractional Knapsack Problem in Python

Section 31 - Divide and Conquer Algorithms

  • What is a Divide and Conquer Algorithm?

  • Common Divide and Conquer algorithms

  • How to solve Fibonacci series using Divide and Conquer approach?

  • Number Factor

  • Number Factor in Python

  • House Robber

  • House Robber Problem in Python

  • Convert one string to another

  • Convert One String to another in Python

  • Zero One Knapsack problem

  • Zero One Knapsack problem in Python

  • Longest Common Sequence Problem

  • Longest Common Subsequence in Python

  • Longest Palindromic Subsequence Problem

  • Longest Palindromic Subsequence in Python

  • Minimum cost to reach the Last cell problem

  • Minimum Cost to reach the Last Cell in 2D array using Python

  • Number of Ways to reach the Last Cell with given Cost

  • Number of Ways to reach the Last Cell with given Cost in Python

Section 32 - Dynamic Programming

  • What is Dynamic Programming? (Overlapping property)

  • Where does the name of DC come from?

  • Top Down with Memoization

  • Bottom Up with Tabulation

  • Top Down vs Bottom Up

  • Is Merge Sort Dynamic Programming?

  • Number Factor Problem using Dynamic Programming

  • Number Factor : Top Down and Bottom Up

  • House Robber Problem using Dynamic Programming

  • House Robber : Top Down and Bottom Up

  • Convert one string to another using Dynamic Programming

  • Convert String using Bottom Up

  • Zero One Knapsack using Dynamic Programming

  • Zero One Knapsack - Top Down

  • Zero One Knapsack - Bottom Up

Section 33 - CHALLENGING Dynamic Programming Problems

  • Longest repeated Subsequence Length problem

  • Longest Common Subsequence Length problem

  • Longest Common Subsequence  problem

  • Diff Utility

  • Shortest Common Subsequence  problem

  • Length of Longest Palindromic Subsequence

  • Subset Sum Problem

  • Egg Dropping Puzzle

  • Maximum Length Chain of Pairs

Section 34 - A Recipe for Problem Solving

  • Introduction

  • Step 1 - Understand the problem

  • Step 2 - Examples

  • Step 3 - Break it Down

  • Step 4 - Solve or Simplify

  • Step 5 - Look Back and Refactor

11 Essential Coding Interview Questions + Coding Exercises!

Learn 3 handy problem solving techniques. Get 11 hand-picked problems. Get ready for your next coding interview!

Created by YK Sugi - Founder at CS Dojo / Former Software Developer at Google

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Students: 15831, Price: $69.99

Students: 15831, Price:  Paid

As you prepare for your next coding interview, have you ever thought:

  • "I wish someone could just walk me through these problems and explain what’s going on."
  • "I wish there was a preselected set of the most important coding interview problems so I can practice them easily."

If so, this course is for you!

In this course:

  • First, I’m going to give you a few problem solving techniques you’ll be able to use right away in your next coding interview.
  • Then, I’m going to walk you through the 11 essential coding interview questions and their answers.
  • I’ve picked these particular questions because they are the types of questions that are asked most often in programming interviews.
  • I’m going to cover problems that use concepts such as arrays, strings, two-dimensional arrays, linked lists and trees.
  • You’ll get a coding exercise in Python and Java for each problem, so you can get feedback on your solution right away.
  • If you want to use any other language to follow this course, that’s fine too! Just remember to run your solution on your computer to make sure it works.

This course is intended for intermediate to advanced learners who are preparing for their software engineer programming interviews.

So, I’m going to assume that you’re already familiar with concepts such as:

  • Two dimensional arrays (which are simply arrays of arrays)
  • Breadth first search and depth first search
  • Linked lists and trees

If you think you’re ready for this course, watch the preview videos and see if you can solve those problems!

Cracking the Coding interview: Learn 5 Essential Patterns

Two pointers, Sliding window, Binary Search, Merge Intervals, Top K elements. Solution in (Java & Python)

Created by Fred Boundou - Software Engineer

"]

Students: 15028, Price: Free

Students: 15028, Price:  Free

This course is for all those people who want improve their skills in problem solving. In this course I want you to focus on practice because I do believe that it is the better way to master technique for solving coding interview problems. By the end of this course you will be able to identify some coding interview problems so that you can use that pattern to solve it. Thanks!

What will you learn in this course?

You will learn and master 5 Patterns for coding interviews:  Solutions in Java & Python

  1. Pattern 1: Two Pointers Techniques

  2. Pattern 2: Sliding Window

  3. Pattern 3: Sorted Array & Binary Search

  4. Pattern 4: Merge Intervals

  5. Pattern 5: Heap & Top K elements

You will improve your problem solving skills

Your instructor, Fred Boundou, Energetic software engineer with 10+ years experience developing robust code for high-volume businesses.

Highly familiar with a wide variety of Software Engineering, Database, Web as well as Data Science.

Progressively engage my experience through my passion for creating application using best practice intuitive experience as focus.

Using my diverse skills set in order to provide a super service that will assist a range of clients...

I have been working for many Big tech companies include (Microsoft, Boeing...)

This means you are learning from someone who has all the professional training, skills,

and experience you need to teach you how to become master of solving interview questions in the fastest possible way.

Python String Coding Interview Questions In Simple Way

To improve your Logical Thinking and To clear Python Interviews

Created by DURGASOFT DURGA - Software Training Organization

"]

Students: 14655, Price: Free

Students: 14655, Price:  Free

The following programs will be covered as the part of this course:

1. Write a Program To REVERSE content of the given String by using slice operator

2. Write a Program To REVERSE content of the given String by using reversed() function

3. Write a Program To REVERSE content of the given String by using while loop

4. Write a Program To REVERSE order of words present in the given string

5. Write a Program To REVERSE internal content of each word

6. Write a Program To REVERSE internal content of every second word present in the given string

7. Write a program to print the characters present at even index and odd index separately for the given string

8. Write a program to merge characters of 2 strings into a single string by taking characters alternatively

9. Program to sort characters of the string, first alphabet symbols followed by digits

10. Program for the requirement,input: a4b3c2 and expected output: aaaabbbcc

11. Program for the requirement,input: a3z2b4 and expected output: aaabbbbzz (sorted String)

12. Program for the requirement,input: aaaabbbccz and expected output: 4a3b2c1z

13. Program for the requirement,input: a4k3b2 and expected output: aeknbd

14. Program to remove duplicate characters from the given input String

15. Program to find the number of occurrences of each character present in the given string with count() method

16. Important Conclusions about dictionary

17. Program to find the number of occurrences of each character present in the given string without using count() method

18. Program for the requirement,input: ABAABBCA and expected output: 4A3B1C

19. Program for the requirement,input: ABAABBCA and expected output: A4B3C1

20. Program to find the number of occurrences of each vowel present in the given string?

21. Program to check whether the given two strings are anagrams or not?

22. Program to check whether the given string is palindrome or not?

23. Program to generate words from the given input strings by taking characters alternatively?

Data Structures A-Z : Data Structures + Algorithms Bootcamp

Become ace in data structures & algorithms & Crack the code interview by getting mastery in data structures & algorithms

Created by Vinoth Parthasarathy - Instructor

"]

Students: 13986, Price: $89.99

Students: 13986, Price:  Paid

Congratulations!  You've found the most popularmost complete, and most up-to-date resource online for learning Data structures and Algorithms.

Do you want to crack your next coding interview? Do you want to be a master in solving challenging Algorithms?

Are you interested in the field of Data structures? Are you interested to play around with complex Algorithms?  Then this course is for you!

You need to understand algorithms and data structures because I've seen code written by people who didn't understand Data structures and algorithms; and trust me, you don't want to be that guy.

The entire course is based around a single goal: Turning you into a professional programmer & capable of writing code as a professional.

Are you scared about the coding interview? Join me in this Adventure, Crack your coding interview by getting mastery in data structures & algorithms.

There are lots of free tutorials and videos on YouTube. Why would you want to take this course? The answer is simple: Quality of teaching. So, from the very beginning to the very end, you'll be confident that you'll be in good hands and watching every minute of the course, unlike reading many free tutorials and videos, do not waste your precious time. Each section is equipped with a balanced mix of theory and Implementation.

It's my goal to make clear Data structures and Algorithms as much as possible and ensure your success. I want everyone to benefit from my courses, that's why we'll dive deeply into Data structures and Algorithms concepts and why I made sure to also share the knowledge that's helpful to programmers

I can promise you that, this is the most comprehensive and modern course you can find on data structures & algorithms on udemy or anywhere else- it's based on all my knowledge And teaching experience. It's both a complete guide, starting with the core basics of the language, as well as an extensive reference of the data structures & algorithms, ensuring that both newcomers, as well as experienced developers, get a lot out of this course! It's my goal to make you clear about the concepts of data structures & algorithms as much as possible. To accomplish this, throughout the course, extensive use of slides and graphics is being utilized in order to aid the understanding and memorability of complex concepts. Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own project. This course is designed to be fast at getting you started but also get you deep into the "why" of things. Simply the fastest and best way to learn the latest skills. Look at the scope of topics in the Session and see the breadth of skills you will learn.

Why it’s the only course you need to learn Data Structures and Algorithms?

This course is everything you need from start to end regardless of your experience.

It's an interactive course. Instead of explaining the concepts with Powerpoint slides, I will take you to the classroom again.

These course videos are designed very carefully to make you more engaging and you won’t get bored while watching the course videos. Unlike other learning videos which you can find on other courses or on YouTube, this course is carefully designed with full of animated content that will make learners grasp the concepts quickly and easily. In this way, you can understand even hard topics/concepts easily.

While you take this course, you will feel the simplicity of learning the language, This is because time spent for preparation for the videos (script for the videos and video structure) and video editing (to cut boring pieces of the lesson or time when the program loads) is huge. And also the structure of the course is created based on beginners in mind. And also this course will be a good reference for those who are already having good knowledge of data structures and algorithms.

Don’t take my word for it. Check the reviews and see what other students are saying

★★★★★

No Words!! The explanation is very simple and clear, And its perfect combination of theory plus practical on Data structure, And I'm simply amazed by the instructor as they make such a hard topic like Data structure very easy to learn.

And it's crisp and straight to the point and examples are really great and the way in which the presenter describes the topic is also very helpful.

Thanks a lot! - Giada

★★★★★

The Concepts are presented in a simpler & detailed way in a short span of time. This is the best course for learning data structures from scratch. Tree part has the best explanation. Sir, you helped me face my fears regarding data structures & coding & have boosted up my confidence. Sir, please post courses on competitive coding Vinoth Sir cause you are the best. - Divyakanti Batabyal

★★★★★

It's a good experience so far, I'm loving the content! I'll give a full review once I'm done. So far I feel it's a very valuable course. Update: After finishing the course I am very happy with it. This is a wonderful course and Vinoth, you have really done an awesome job. Before this course I really don't have much knowledge of Data Structures, this course is designed, which made me really confident about my learning. Thanks a lot, Vinoth. Keep up the great work! - Gayathri

★★★★★

It is evident that Vinoth has put a lot of thought into planning this course. It is well organized and the topics lead nicely into one another. Moreover, Vinoth's teaching experience helps the complex topics to grasp easily. I am really enjoying the course and think Vinoth's teaching style is stellar - Ravi

★★★★★

In a very simple and clear manner, the trainer is explaining things and giving us chance to think and develop our own logic for implementing data structures. It really makes complex things simple !!! I found the videos and code samples very clear and precise. A very good foundation course on data structure -Abhishek Agarwal

★★★★★

the way of teaching is very good, sir is teaching with real-time examples which helps us to easily understand the topic. Sir made this course very easy for me to understand, such a great teacher - Aditya Bohra

★★★★★

This course is a good match for me, Till start, to end its well-executed, Content and syllabus is good, for me as a beginner is very useful, i learnt lots of thing from this course, Thank you very much for such a wonderful course. thanks - Magnus

★★★★★

Explained clearly, This course covers all the basics and beyond. I learnt what I want to learn plus much more. Vinoth explains clearly, I enjoyed the way he taught, very precisely and briefly. Honestly, the course is good for beginners - Noel

★★★★★

I found this course is much valuable for me, especially Tree and Graph sections are awesome, Neat presentation, easily understandable course, overall its must have taken the course who what to understand data structures and algorithms from the base. Thanks - Abinav

★★★★★

Incredibly comprehensive course! I found this course really well laid out and easy to get to grips with, concepts were introduced in a very logical manner which made it easy to follow. Overall this course matched my expectations and expanding my current knowledge of data structures. Thanks - Trinity

★★★★★

Super Good! The teaching style, content and quality of the course all are excellent. Over this is the perfect material for data structures and algorithms. I will highly recommend this course to my friends. Thanks a lot for such a wonderful course. - Celia

Why you should learn Data Structures and Algorithms:

  • Industry Demand for Data Structures and Algorithms: Top tier tech brands such as Google, Facebook, Microsoft, Youtube, etc. focus more on designing things in the most optimal manner that improves user experience and enhances tracking and managing. These companies ask most of the questions related to Data Structures and Algorithms in interviews to assess a candidate's approach for solving any real-world problem.

  • Solve the problem more efficiently: The search engine may provide source code for solving the issue or steps for you to fix the issue. But, the real programmer understands the Application Programming Interface internals including data structure and make the decision.

  • Improving problem-solving and analytical skills: Data Structures and Algorithms are not only crucial to land your dream job, but it also helps in improving problem-solving and analytical skills that can prompt you to think out-of-the-box solutions.

  • Use the Right tool to solve the problem: The data structure and algorithm provide a set of techniques to the programmer for handling the data efficiently. The programmer should understand the core concepts of data handling the data. Data structure and algorithms help you to decide the right tool for your job

  • Furthermore, it will also enable your future endeavours as it is something that will never go out of demand considering the rapid evolution of technologies and an increasing amount of data.

Here’s just some of what you’ll learn

(It’s okay if you don’t understand all this yet, you will in the course)

This course is fun and exciting, but at the same time, we dive deep into Data Structures and Algorithms. Specifically, you will learn :

· Understanding the core principles of coding.

· Understanding code complexity and how to write code efficiently and various levels of complexity.

· Basics of Data Structures and algorithms

· Basic data structures (Arrays, linked list, and Hash Table)

· Tree data structures

· Graph data structures

· Algorithms to apply Graph in product implementation

· Searching algorithms

· Various Sorting algorithms

Frequently Asked Questions:

Will I be able to learn Data Structures and Algorithms and find a job after completing this course?

YES, This course covers all the topics in a very detailed way which you need to know to become a professional Data Structures and Algorithms. However, you will be able to learn Data Structures and Algorithms and be job-ready heavily depends on you once you completed this course.

If you merely watch the videos, you will hardly learn anything without trying things on your computer. Instead, try the code on your computer, change the code, run it, improve it further, rerun it, fix the possible errors, try making a similar app, repeat, ask questions in the Q&A when you get stuck, and try to solve all the exercises in the course. That way, you will undoubtedly learn how to use Data Structures and Algorithms and find a job.

How much time will I need to complete the course?

That depends on how much effort you can put into learning the language. If you dedicatedly follow the course, you can complete the course in 1 week. And If you practice the programs in day to day life, You will be getting familiar with the Data Structures and Algorithms in a very short period.

I don't know anything about programming. Will I still be able to learn Data Structures and Algorithms?

Absolutely YES. This course assumes you have no previous knowledge of any programming.

Do I need to have any prior knowledge to take this course?

A big NO. You don’t need any prior knowledge to take this course. I have designed this course which makes it comfortable even for beginners. It starts from the absolute beginner level initially and gradually moving to complex and advanced level topics. And also this course is filled up full of practical and fun examples. You will learn the core skills step by step with hands-on experience. And If you are already comfortable with coding and need to refresher your skill, this course will be suitable for you, too. Every time you come back to this course you will learn something new or improve yourself.

Does the course expire?

No. Once you buy the course, it's yours. I update the content regularly, and all the updates come to you for free in the one-time purchase you make.

Will I get support if I get stuck?

Yes. Feel free to drop a question in the Q&A, and I will answer your questions within the same day. I covered almost everything that you need to become expert in Data Structures and Algorithms. if you feel, this course wasn’t complete enough, I offer full support, answering any questions you have 7 days a week.

What if I have questions?

As if this course wasn’t complete enough, I offer full support, answering any questions you have 7 days a week.

What’s stopping you from signing up today?

You don’t have enough time? Not an issue. I’ve designed this course so you can learn everything you need in as little as ONE week.

You’re still weighing up the value? Listen. I’ve made this course bigger, better and more affordable—with even more content and more coding tips and best practices —than EVER before. And In this course, I show you how to create all of the code from scratch. You can type the code along with me in the videos, which is the best way to learn. And I am a very responsive instructor and I am available to answer your questions and help you work through any problems.

You don’t have any previous experience? Seriously, not a problem. This course is expertly designed to teach everyone from complete beginners, right through to pro developers. (And yes, even pro developers take this course to quickly absorb the latest skills, while refreshing existing ones).

Straight up: There's no other course that teaches you that, so join thousands of other students who have successfully applied their data structures and algorithms in the real world. Sign up and start learning the expert in data structures and algorithms today!

Sounds great, doesn’t it? Are you ready for a life-changing adventure? If you are serious about your career as a software developer, this is the only Bootcamp you will need. Then don't waste your time with random tutorials or incomplete youtube videos. This course is an easy-to-follow, all-in-one packages that will take your skills to the next level.

Buy this course today, and you will get all updates for FREE!

Enroll now and begin your journey towards the most lucrative, adventurous and exciting career path you can imagine! Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

100% MONEY-BACK GUARANTEE

This course comes with a 30-day full money-back guarantee. Take the course, go through the lectures, do the exercises, and if you're not happy, ask for a refund within 30 days. All your money back every last penny questions asked.

You either end up with an expert in Data Structures and algorithms skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it… (And why not give such a guarantee? I certain this course will provide a ton of value for you)

You literally can’t lose.

See you on the inside (hurry, Data structures, and algorithm class is waiting!)

Data Structures and Algorithms Bootcamp

How to ace your Silicon Valley style coding interview

Created by Jonathan Rasmusson - Ex-Spotify Engineer, The Agile Samurai

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Students: 13396, Price: $99.99

Students: 13396, Price:  Paid

This course is about getting you up-to-speed quickly on the fundamental computer science concepts you are going to be expected to know if you want interview at any large Silicon Valley tech company (Google, Apple, Facebook, Amazon, or Spotify).

Topics include

  • Arrays

  • Linked Lists

  • Big O notation

  • Stacks & Queues

  • Hash Tables

  • Binary Trees

  • Binary Heaps

  • Dynamic Programming & Memoization

  • Bubble Sort / Merge Sort / Quick Sort

  • Graphs

  • Breadth First Search

  • Depth First Search

  • More...

What you get

With this course you get

  • Over 115 beautifully hand crafted HD videos walking you through every aspect of how all these data structures and algorithms work

  • Practices questions and personal walkthroughs of the most commonly asked interview questions

  • My personal notes on interviews I have personally had with Spotify, Facebook, Amazon, and others

  • A section called The Classics where we walk through classic interview questions no interviewee should be with out

  • Interview tips on soft skills big tech companies look for when hiring and techniques on how to answer

What you save

By investing in yourself with this course you are saving yourself the most precious thing you’ve got - time. I have spent a year scouring the web looking for the best examples, the simplest explanations, the best visualizations on how to explain how this stuff works, and assembled it all into one, quick, easy to digest place.

Let's do this together

Learning data structures and algorithms doesn’t have to be a chore. It can be fun. And I want you to know I am here for you every step of the way. Ask me any question. I usually get back to my students with 24 hrs. And together, we will get you the understanding behind how these things work.

I also don’t have a formal computer science background

Look. I know what it’s like not to know how this stuff works. And, like you, I have had to learn this stuff from scratch.

But I am here to tell you it can be done. I have no formal computer science background. I am not classically trained as a computer scientist. But by learning this material, I landed my dream job as an engineer at Spotify in San Francisco. And so can you.

So what are you waiting for? Sign up and get started on your journey today.

Testimonials

Here are some testimonials from students who have taken the course.

Tiffany Scott

Best $10 I've ever spent. The explanations are concise and are giving me confidence for my upcoming Microsoft and Facebook interviews. Planning on finishing the course in 4 days to give me ample time to practice problems.

Saif Addin Ellafi

Really, this will sound like exaggeration. But this course is perfect, 5 stars falls short. The instructor puts the content in a an easy to follow order, videos are short to keep attention and leave you wanting to know more. Concise and important points are made very clear, with zero repetition. Native speaker offers no challenge for understanding, especially if you are not a native speaker. Answers questions very quickly. The course WONT teach you how to program, so forget about 100% coding from scratch or having pedagogical exercises. It relies on you to check out the code, re-write it, practice and research deeper the concepts. Examples are written in Java, but they are very agnostic to the language (aside of having to setup a java environment to run tests). Huge focus on acing interviews. A clear target of the course makes it great and an example. Time and pacing are perfect, no need to slow down or speed up. Overall 10 out of 5.

Anna Teittinen

I completed this course in my busy schedule within 3 weeks of learning I will have technical phone interviews with both Google and Facebook. I learned so much and understood everything without memorizing, unlike when I was in school. I recently learned I did well on both phone interviews. I will have a second technical phone interview with both companies again in mid Jan. I highly recommend this course! Thank you very much Jonathan!

Rick A

I took your course in the very beginning of my interview prep to refresh all my concepts. I think you've done a great job in this course. After a lot of practice using these concepts I got pretty good at it. I got multiple offers from big N including Google, Facebook, Amazon and Microsoft. I would like to take this moment to thank you for creating the course and being available to answer our queries.

Luciano Sa

Amazing course! Very well explained, great didactic which makes it very easy to follow and understand! I wish these stars were exponential. :)

Kavitha Bhasker

I am really thankful I found this course on Udemy. It has been 15 years since I learnt these concepts during my engineering college days and needed to brush up on them for interview prep. This course really nailed the contents and exercise that are asked in tech interviews these days. The tone of the instructor is very friendly and calm and make you think rather than put you in a spot. I was asked for a interview query on whether to use an array vs hashmap in a certain scenario and was able to nail the answer and also give the Time complexity with confidence . I landed the job and will be starting next week. Thank you so much!

Eyal Carmi

Great. I like the that Jonathan filters what we actually need for an interview - instead of being flood with lot's of data, he notes you what worth remembering. His explanations are clear, and if you don't understand something, just ask him and he explains it to you.

Flavio Marques Migowski Carvalho

One of the best course I've had. It's very well explained, each step in the coding is shown and explained with drawings. I think some design and architecture problems would be very handy! Thank you for making this course for us!

Adam Mendoza

Best course I've seen to brush up on algorithms and data structures to prepare for an interview at competitive companies. Really, a class apart.

Madhu

I love the course overall. Very engaging. The Instructor, Jonathan is a great mentor and has this calm and assuring voice that puts the confidence in anyone who does not have programming experience before. He not only covered the technical aspects of almost all the important algorithms but also added a great ending with the interviewing tips which is really helpful. I would recommend this course to everyone who want to brush up on algorithms and just be ready enough to start with their interview.

Juwan Turner-Howard

I can program. I thought I "knew" about arrays, but this helping me to know the why which can allow me to make better tradeoffs when it's time to choose between linkedlist(probably O(n) get and set time) versus the O(1) array get and set time. If the rest of the course is consistent with the style and value of information in this first module... whew... I'm in for a good ride. So happy and excited about this course thus far though.

Aung Khant Nyra

I would say Jonathan has done a great job of showing you how to prepare for interview problems by giving you a touch of basic data structures and a bird's eye view of the a typical interview. I am in the bay area and personally for me, this course is pretty basic and I am preparing for interviews myself, so this course was helpful for me although it didn't include advanced topics like dynamic programming and so on. Of course, there are countless interview practice problems online so I understand, it's impossible for him to cover everything. Anyways, I love the course . It is better to learn from a professional who is in the field instead of learning from a professor or a lecturer.

Ramachandran Rajagopalan

Good course to wrap your head around DSA if you are a beginner. For others who have a got a week's time for the interview and need a refresher then grab this. Thanks, Jonathan. Good work.

Break Away: Programming And Coding Interviews

A course that teaches pointers, linked lists, general programming, algorithms and recursion like no one else

Created by Loony Corn - An ex-Google, Stanford and Flipkart team

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Students: 8172, Price: $89.99

Students: 8172, Price:  Paid

Programming interviews are like standard plays in professional sport - prepare accordingly. Don't let Programming Interview gotchas get you down!

  • Programming interviews differ from real programming jobs in several important aspects, so they merit being treated differently, just like set pieces in sport.
  • Just like teams prepare for their opponent's playbooks in professional sport, it makes sense for you to approach programming interviews anticipating the interviewer's playbook
  • This course has been drawn by a team that has conducted hundreds of technical interviews at Google and Flipkart

What's Covered:

  • Pointers: Memory layout of pointers and variables, pointer arithmetic, arrays, pointers to pointers, pointers to structures, argument passing to functions, pointer reassignment and modification - complete with visuals to help you conceptualize how things work.
  • Strings: Strings, Character pointers, character arrays, null termination of strings, string.h function implementations with detailed explanations.
  • Linked lists: Visualization, traversal, creating or deleting nodes, sorted merge, reversing a linked list and many many problems and solutions, doubly linked lists.
  • Bit Manipulation: Work with bits and bit operations.
  • Sorting and searching algorithms: Visualize how common sorting and searching algorithms work and the speed and efficiency of those algorithms
  • Recursion: Master recursion with lots of practice! 8 common and uncommon recursive problems explained. Binary search, finding all subsets of a subset, finding all anagrams of a word, the infamous 8 Queens problem, executing dependent tasks, finding a path through a maze, implementing PaintFill, comparing two binary trees
  • Data Structures: Understand queues, stacks, heaps, binary trees and graphs in detail along with common operations and their complexity. Includes code for every data structure along with solved interview problems based on these data structures.
  • Step-by-step solutions to dozens of common programming problems: Palindromes, Game of Life, Sudoku Validator, Breaking a Document into Chunks, Run Length Encoding, Points within a distance are some of the problems solved and explained.

LeetCode In Python: 50 Algorithms Coding Interview Questions

Practice data structure and algorithms questions for interviews at FAANG companies like Google, Facebook, Apple & Amazon

Created by Bit Punch - Software Engineer ( Ex-Googler )

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Students: 7234, Price: $99.99

Students: 7234, Price:  Paid

  • Getting ready for your software engineering coding interview? This is the place for you.

  • Want to learn about the most popular problem-solving techniques, patterns, data structures, and algorithms used in those difficult interviews? Come on in

  • Want a step by step explanation of 50 of the most popular interview questions in the industry? You got it.

  • Want to get better at competitive programming? Enjoy the ride

Welcome to the course!

In this course, you'll have a detailed, step by step explanation of 50 hand-picked LeetCode questions where you'll learn about the most popular techniques and problems used in the coding interview, This is the course I wish I had when I was doing my interviews. and it comes with a 30-day money-back guarantee

What is LeetCode?

LeetCode is essentially a huge repository of real interview questions asked by the most popular tech companies ( Google, Amazon, Facebook, Microsoft, and more ).

The problem with LeetCode is also its advantage, IT'S HUGE, so huge in fact that interviewers from the most popular companies often directly ask questions they find on LeetCode, So it's hard to navigate through the huge amount of problems to find those that really matter, this is what this course is for.

I spent countless hours on LeetCode and I'm telling you that you don't have to do the same and still be able to get a job at a major tech company.

Course overview :

In this course, I compiled 50 of the most important and the most popular interview questions asked by these major companies and I explain them, in a true STEP BY STEP fashion to help you understand exactly how to solve these types of questions.

The problems are handpicked to ensure complete coverage of the most popular techniques, data structures, and algorithms used in interviews so you can generalize the patterns you learn here on other problems.

Each problem gets 2 videos :

  • Explanation video: we do a detailed explanation of the problems and its solution, this video will be longer because we will do a step by step explanation for the problems.

  • Coding video: where we code the solution discussed in the explanation video together.

We will use basic python for this course to code our solutions, previous knowledge in python is preferred but NOT required for the coding part of the course.

The problems are categorized for easier navigation and will be regularly updated with more popular and interesting problems.

Some of the stuff this course will cover are :

  • Arrays and Strings interview questions.

  • Searching interview questions and algorithms.

  • Dynamic Programming interview questions.

  • Backtracking interview questions (  With step by step visualization ).

  • Trees and Graphs interview questions and algorithms.

  • Data structures Like Stacks, Queues, Maps, Linked Lists, and more.

In other words, this course is your one-stop-shop for your dream job.

Java Coding Interview questions for freshers and experienced

Java Coding Interview Questions to crack any interview

Created by Krishna Sandeep - SoftwareEngineer

"]

Students: 7016, Price: Free

Students: 7016, Price:  Free

This course contains various java programming questions and their solutions step by step. It covers String based,array based ,number based frequently asked programming interview questions for java freshers and experienced engineers. Every section starts with an introduction about the section and it provides clear learning path.

This course will be useful for Java developers,Automation testers and Bigdata Engineers to crack the interview.

Data Structures and Algorithms in C++ For Coding Interview

Covers Algorithmic Problems in C++ That range a variety of data structures which often pop up during a coding interview.

Created by El Farouk Yasser - Double Major in Mathematics and Computer Science

"]

Students: 6357, Price: $109.99

Students: 6357, Price:  Paid

Welcome to Data Structures and Algorithms in C++ For Coding Interview!

This is the most comprehensive online course to help you with your coding interviews and solving algorithmic problems with Data Structures! This course utilizes C++'s strong standard library to efficiently teach you what you need to know to solve basic algorithmic and data structures interview problems in the coding interview!

This course will teach you everything you need to know about utilizing data structures in your algorithms. We discuss data structures and algorithmic techniques such as:

  • Array/Strings Sequences

  • Stacks

  • Recursion

  • Hash Maps

  • Binary Trees

  • Searching and Sorting Algorithms

  • Heaps

  • Several Assignments to solidify your understanding

PLEASE NOTE: 

If You're a complete beginner to C++, this course is not for you. Please make sure you satisfy the requirements before joining the course.

Algorithms and Data Structures in C#: Complete Tutorial

Learn data structures and algorithms in C# from A to Z. Pass coding interview. Learn unit testing and TDD in addition.

Created by Engineer Spock - Software Engineer - 1000+ Reviews, Average Score - 4.5

"]

Students: 6059, Price: $89.99

Students: 6059, Price:  Paid

Why learn about data structures and algorithms? 

Algorithms and data structures constitute the fundamentals of programming.

  • Good understanding of algorithms and data structures is one of the most important requirements for a great number of work positions. You'll have to solve  many problems related to algorithms and data structures at coding interviews. Indeed, you can live without an understanding of algorithms and data structures, in general. However, you can do that until you face a real problem which requires to choose right data structures and implement custom algorithms. If you haven't ever faced such problems, believe me, this is just a matter of time. One day, you'll face such a problem and if you don't understand algorithms and data structures in depth, you'll feel yourself ashamed and helpless. You'll be stuck.

  • If you're not good at algorithms and data structures, you'll never pass a coding interview in a decent company. Almost all the companies   prefer to hire those developers who have good understanding of algorithms and data structures, remember that.  Do not delay the study of fundamental concepts.

  • Better hardware is not a solution  for all the performance-related problems. Sometimes, you need to write software for very slow devices. And that very often depends on the budget of a customer, by the way, so you don't have a control over it.

  • You'd better to understand what's going on under the hood at least one level in-depth. Indeed, if you don't understand how List works, sometimes you'll make sub-optimal or completely wrong decisions.

Why this course?

You may ask me "why should I take exactly your course?" And here is my answer:

  • This course is a comprehensive tutorial which covers a great number of topics

  • I tried to do my best to make this course not dry

  • This course concentrates not only at algorithms and data structures in general but it uncovers the internals of data structures and algorithms built-in .NET BCL (.NET Core's BCL is the same regarding fundamental data structures and algorithms)

  • This course is practical with exercises and solutions

  • This course will definitely help you to pass technical interviews

  • This course is made by a professional software developer with more than 10 years of real-world experience

  • and many other reasons :)

What's in the Course?

For now, the course covers:

  • Introduction to Algorithms and Data Structures: what is a data structure, abstract data type and what's the difference between these notions. What is an algorithm and why they are important to us?

  • Introduction to Algorithm Analysis:  determine how long will a program work, build a log-log plot, approximations, order of growth (Big-O notation), memory consumption

  • Arrays: arrays in C#, arrays in memory, time complexity of operations on arrays

  • Sort Algorithms: bubble sort, selection sort, insertion sort, recursion, shell sort, merge sort, quick sort, stability of sort algorithms

  • Lists: List built-in .NET BCL, nodes, linked list including singly and doubly linked lists, linked list built-in .NET

  • Stacks: theory and practice; stack based on array, stack based on a linked list, stack built-in .NET

  • Queues: theory and practice; queue based on array, circular queue, queue based on linked list, queue built-in .NET BCL

  • Search Algorithms: linear search, binary search (more will be added in the future)

  • Symbol Tables: intro, API, sequential search-based, binary search-based

  • Hash Tables: intro, hash functions, GetHashCode, approaches to collisions resolving: separate chaining and linear probing, Dictionary built-in BCL, Sets in BCL

  • Trees: binary search tree (BST), implementing BST (more will be added in the future)

  • Heaps: intro, heaps and arrays, implementation, Heap Sort (more will be added in the future, specifically about Priority Queues)

  • Immutable Collections: immutability and memory pressure, immutable stacks and queues, immutable list, immutable sets, immutable dictionaries, builders in immutable collections

  • Different Algorithms. This section will include different algorithms as you might guess. For now it convers the Sieve of Eratosthenes.

Take this course now and you'll be satisfied! Don't forget that Udemy provides 30-day money back refund policy, so if you don't like the course, you just click on a couple of buttons and get your money back!

Cracking Coding Interview : Data Structure & Algorithms C++

100+ Leetcode problem solved in C++ (FAANG) Crack your next coding interview by mastering data structures and algorithm.

Created by Ankit Thakran - Software Developer | Bootcamp Instructor

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Students: 5594, Price: $89.99

Students: 5594, Price:  Paid

Graduates of this course are now working at Google, Microsoft, Amazon, Facebook, Samsung, Uber + other top tech companies

this course brings more ?  to your life

Do you know entry level engineers at top tech companies like Google , Microsoft , Facebook ... makes over $150,000 per year

So how we can get these paying high paying jobs ? the answer is pretty simple we need to crack their coding interviews.

Now coding interviews at these top tech companies are definitely tough to crack and there is only ONE method to get these high paying jobs- and that is PRACTICE! Practicing dozens of coding questions is what makes the difference between a job offer for a $150k USD and another rejection email. This course is going to not only give you dozens of questions to practice on, but it will also make sure you understand the tricks behind solving each question, so you’ll be able to perform in a real interview.

Taught by industry experts

This course is taught by Harsh who is popular programming instructor and an ace software engineer, currently working with Amazon and has bagged job offers from Microsoft , Samsung and Flipkart in past .His aim is to bring high quality courses at pocket friendly pricing. He is known for amazingly simplified explanations. Harsh has over 3+ years of teaching experience and has trained over 10,000+ students in his online courses in the past. His expertise lies in data structures and algorithms, coding interview preparation. Many of his ex-students are now working in top product companies like Apple, Google, Amazon, Microsoft, Samsung, Adobe and more.

Super Responsive Instructors

As if this course wasn’t complete enough, we offer full support, answering any questions you have within 6 hours ,7 days a week (whereas many instructors answer just once per week, or not at all).

This means you’ll never find yourself stuck on one lesson for days on end. With our hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

Refund Guarantee

This course comes with a full 30 day money-back guarantee.

You either end up with getting those high paying jobs and make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it…

You literally can’t lose.

WHAT OUR LEARNERS ARE SAYING:

5 STARS - this course is amazing

it delivers what it promises, from zero to mastery .the use of c++ was the best for me, better than other courses, finally i can solve problems using recursive and understand a lot of things .a small suggestion to the creators other courses are popular due to the use of graphics and animations in the videos, so, if you can enhance that part a bit because your content is pure gold and please add real interview question from big companies another thing, please expose more of your content by making more videos available to view before purchase, i almost did not buy this course because of this Keep up the good work and many thanks :)

5 STARS - Feeling very prepared for my upcoming interview - the explanations are very clear and helpful.

5 STARS - Really enjoying this course. Problems and solutions are explained very clearly - a lot better than the typical here is the solution to this problem. Ankit appears to really know this stuff. He spends the first half of each video working out examples on the white board before attempting the solution. And the best part is that Ankit responds quickly to all the questions asked. If you hit a road block doing LeetCode problems, get this course. Worth every penny.

5 STARS - very good problems covered and also instructor wrote very clean and good code.Instructor is very responsive Thanks for the course

5 STARS - Great course to learn coding interview problems.

5 STARS - The best course to prepare for coding interviews has lucid explaination of each and every problem.very good and simple to understand the codes as well as examples. The instructors are truly amazing. They make very simple to learn difficult topics. I highly recommended this course to crack coding interview.

5 STARS -  He really knows how to explain concepts and repeats until it clicks in the head. Also I like the way he doesn't jump to the code until he explains all the concepts and algorithm to do with the problem.

5 STARS -  like the clear-cut style. no nonsense!

5 STARS - This course is really amazing. instructor is going beyond and beyond each and every thing was my beyond expectations. really mastery course it is.

5 STARS - This is the best course on data structure compare to all data structure course .all the topic of data structure has been completed in this course .if anyone want to learn data structure then you can go for it. thank you sir for making this course on udemy

5 STARS - This is the best computer science course I've taken. If you need to learn C++ and pass your technical interviews, this is the course to take. The explanations in the videos are extremely thorough, and I have reached out to the instructor several times on various questions, and he's always quick to respond and very helpful. In my experience, every MOOC that said its instructors would actively help you with problems lied, EXCEPT FOR THIS COURSE. TAKE THIS COURSE!

5 STARS - I liked this course very much! It clears out your basics quite well and is does totally what Harsh and Ankit claim they'll do. I would recommend this to everyone who wants to learn Data Structures and Algorithms, especially if you had a phobia for coding like I did. I now love coding! All thanks to them.

5 STARS - This is the BEST COURSE on C++ Data Structures & Algorithms. The Instructors are the BEST. They Draw Everything out and Then EXPLAIN THE CONCEPTS VERY WELL & then CODE it. Also I Love Doing the LEETCODE ProblemSets. Absolutely Fantastic. Above my Expectations. I am taking this course for COMPETITIVE PROGRAMMING. It is the BEST COURSE. Thank you very much Ankit and Harsh. You guys are the BEST!

5 STARS - My first comment on udemy. These guys are genius. I normally get bored through a tutorial but i'm hooked on your course brothers. I hope to join you at microsoft or amazon soon.

5 STARS - Everyone, look into this course. It's amazing. I have been struggling with data structures and algorithm but this course explanation is really really great and now I can solve some challenging questions. THANK YOU GUYS

Highlights

  • Course is specially designed for people who wants to get that dream job ?

  • Course follow step-by-step approach to solve any coding question

  • Pen tablet to write on the screen and provide even more visual explanations.

  • 47+ hours of rich content

  • 100+ HD videos

  • Learn from industry experts working at top tech companies Amazon , Microsoft

  • The course is continually updated and enhanced.

  • MOST Importantly, this course teach students the real-life skills needed to get those in-demand jobs

  • Articles , Coding exercises, Assignments , quizzes

  • preselected set of the most important coding interview problems based on my 6 year experience

  • Practices questions and personal walkthroughs of the most commonly asked interview questions

  • Full lifetime access

  • I have spent many hours combing through interview questions asked at Google, Facebook, and Amazon to make sure you know how to answer questions asked by the most well-paying companies out there.

Unlike most instructors out there, We are not marketers or salespeople. Other instructors themselves have not cracked FAANG interviews but we are different we have cracked coding interviews of Amazon , Microsoft , Uber , Samsung , Flipkart and are working at FAANG companies.

Our job as instructors will be successful if we are able to help you get your dream job at a big company. This one skill of mastering the coding interview can really change the course of your career and life and we hope you sign up today to see what it can do for your career!

The best time to start was yesterday. The next best time is now

Click the Buy Now button and start learning now!

Note : I will be writing the code in C++ but you can easily figure out mapping to other languages like Java/JS/Python...

Data Structures & Algorithms in Python – Coding Interview

Learn all the data structures and algorithms in a simplified way. Practice questions and master coding interviews.

Created by Aakash Sachdeva - Programming Instructor

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Students: 5582, Price: Free

Students: 5582, Price:  Free

This course will start from the very basics of algorithms and data structures and cover all the advanced data structures. We will discuss all the concepts that you need to learn and dive deeper into popular coding questions. You do not need any pre-requisite knowledge in data structures before taking this course. So, if you are a newbie or an advanced programmer looking to refresh your knowledge, this is the course for you. Moreover, it is in Python and the solutions to all the coding problems are given in Python, which makes it more interesting and gives you the opportunity to learn Python as well.

The highlight will be the coding problems that will be explained as well as given as exercise in this course. You will learn the following concepts in this course:

1. Big O

2. Arrays

   o Basics

   o Traverse an array in reverse

   o Traverse from both ends

3. Linked List

   o Implementation

   o Add and delete nodes

4. Stack

   o Implementation

5. Queues

   o Implementation

6. Hash Maps

   o Implementation

   o Hash Functions

7. Binary Trees

   o Traversal

   o Top to Bottom

   o Bottom to Top

8. Binary Search Tree

   o Implementation

9. Heap

   o Implementation

10. Graphs

   o Basics

   o DFS

   o BFS

11. Tries

   o Implementation

The following algorithms will be included in these topics:

- Searching

- Sorting

- Recursion

- Tree Traversal

- Breadth First Search

- Depth First Search

- Dynamic Programming

Beat the Codility Coding Interview in Python

Learn and practice how to solve many coding puzzles from Codility using Python.

Created by James Cutajar - Software Developer, Author, Instructor

"]

Students: 3471, Price: $19.99

Students: 3471, Price:  Paid

This course has been designed to help you pass your next coding interview. It focuses on puzzles from Codility's training lessons, so if you have an online coding test coming up, this course is perfect for you.

The key to passing coding interviews is to practice as much as possible by solving various types of coding puzzles. In doing so you sharpen your problem solving skills and eventually you will start to see patterns amongst the different coding solutions. You also increase your chances of being asked a problem you’ve already solved.

In this course you’ll get to practice many of these coding puzzles. In every section we introduce the topic, explain the problem and later provide you with a few hints that help solve the puzzle. In the end we arrive at the solution together.

Along the way you'll learn how to ride a motorbike, surf, scuba dive and fly an aeroplane. *

Join me on this course, and let’s get you to pass this interview!

*Not really, however this course is pretty fun regardless.

All code in this course can be found on github, username/project: cutajarj/CodilityInPython

Java Data Structures and Algorithms Masterclass

Data Structures and Algorithms from Zero to Hero and Crack Top Companies 100+ Interview questions (Java Coding)

Created by Elshad Karimov - Software Developer and Lead Instructor

"]

Students: 3223, Price: $89.99

Students: 3223, Price:  Paid

Welcome to the Java Data Structures and Algorithms Masterclass, the most modern, and the most complete Data Structures and Algorithms in Java course on the internet.

At 44+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Java. You will see 100+ Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft and how to face Interviews with comprehensive visual explanatory video materials which will bring you closer towards landing the tech job of your dreams!

Learning Java is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high level programming language.

We'll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer.

After finishing this course, you will be able to:

Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges.

Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications

Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets

Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.

Why this course is so special and different from any other resource available online?

This course will take you from very beginning to a very complex and advanced topics in understanding Data Structures and Algorithms!

You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course.

You will also see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft.

I cover everything you need to know about technical interview process!

So whether you are interested in learning the top programming language in the world in-depth and interested in learning the fundamental Algorithms, Data Structures and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you!

And this is what you get by signing up today:

Lifetime access to 44+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want

Friendly and fast support in the course Q&A whenever you have questions or get stuck

FULL money back guarantee for 30 days!

This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structures and Algorithms , increase your earning potential or just want a job with more freedom, this is the right course for you!

The topics that are covered in this course.

Section 1 - Introduction

  • What are Data Structures?

  • What is an algorithm?

  • Why are Data Structures and Algorithms important?

  • Types of Data Structures

  • Types of Algorithms

Section 2 - Recursion

  • What is Recursion?

  • Why do we need recursion?

  • How Recursion works?

  • Recursive vs Iterative Solutions

  • When to use/avoid Recursion?

  • How to write Recursion in 3 steps?

  • How to find Fibonacci numbers using Recursion?

Section 3 - Cracking Recursion Interview Questions

  • Question 1 - Sum of Digits

  • Question 2 - Power

  • Question 3 - Greatest Common Divisor

  • Question 4 - Decimal To Binary

Section 4 - Bonus CHALLENGING Recursion Problems (Exercises)

  • power

  • factorial

  • productofArray

  • recursiveRange

  • fib

  • reverse

  • isPalindrome

  • someRecursive

  • flatten

  • captalizeFirst

  • nestedEvenSum

  • capitalizeWords

  • stringifyNumbers

  • collectStrings

Section 5 - Big O Notation

  • Analogy and Time Complexity

  • Big O, Big Theta and Big Omega

  • Time complexity examples

  • Space Complexity

  • Drop the Constants and the non dominant terms

  • Add vs Multiply

  • How to measure the codes using Big O?

  • How to find time complexity for Recursive calls?

  • How to measure Recursive Algorithms that make multiple calls?

Section 6 - Top 10 Big O Interview Questions (Amazon, Facebook, Apple and Microsoft)

  • Product and Sum

  • Print Pairs

  • Print Unordered Pairs

  • Print Unordered Pairs 2 Arrays

  • Print Unordered Pairs 2 Arrays 100000 Units

  • Reverse

  • O(N)  Equivalents

  • Factorial Complexity

  • Fibonacci Complexity

  • Powers of 2

Section 7 - Arrays

  • What is an Array?

  • Types of Array

  • Arrays in Memory

  • Create an Array

  • Insertion Operation

  • Traversal Operation

  • Accessing an element of Array

  • Searching for an element in Array

  • Deleting an element from Array

  • Time and Space complexity of One Dimensional Array

  • One Dimensional Array Practice

  • Create Two Dimensional Array

  • Insertion - Two Dimensional Array

  • Accessing an element of Two Dimensional Array

  • Traversal - Two Dimensional Array

  • Searching for an element in Two Dimensional Array

  • Deletion - Two Dimensional Array

  • Time and Space complexity of Two Dimensional Array

  • When to use/avoid array

Section 8 - Cracking Array Interview Questions (Amazon, Facebook, Apple and Microsoft)

  • Question 1 - Missing Number

  • Question 2 - Pairs

  • Question 3 - Finding a number in an Array

  • Question 4 - Max product of two int

  • Question 5 - Is Unique

  • Question 6 - Permutation

  • Question 7 - Rotate Matrix

Section 9 - CHALLENGING Array Problems (Exercises)

  • Middle Function

  • 2D Lists

  • Best Score

  • Missing Number

  • Duplicate Number

  • Pairs

Section 10 - Linked List

  • What is a Linked List?

  • Linked List vs Arrays

  • Types of Linked List

  • Linked List in the Memory

  • Creation of Singly Linked List

  • Insertion in Singly Linked List in Memory

  • Insertion in Singly Linked List Algorithm

  • Insertion Method in Singly Linked List

  • Traversal of Singly Linked List

  • Search for a value in Single Linked List

  • Deletion of node from Singly Linked List

  • Deletion Method in Singly Linked List

  • Deletion of entire Singly Linked List

  • Time and Space Complexity of Singly Linked List

Section 11 - Circular Singly Linked List

  • Creation of Circular Singly Linked List

  • Insertion in Circular Singly Linked List

  • Insertion Algorithm in Circular Singly Linked List

  • Insertion method in Circular Singly Linked List

  • Traversal of Circular Singly Linked List

  • Searching a node in Circular Singly Linked List

  • Deletion of a node from Circular Singly Linked List

  • Deletion Algorithm in Circular Singly Linked List

  • Method in Circular Singly Linked List

  • Deletion of entire Circular Singly Linked List

  • Time and Space Complexity of Circular Singly Linked List

Section 12 - Doubly Linked List

  • Creation of Doubly Linked List

  • Insertion in Doubly Linked List

  • Insertion Algorithm in Doubly Linked List

  • Insertion Method in Doubly Linked List

  • Traversal of Doubly Linked List

  • Reverse Traversal of Doubly Linked List

  • Searching for a node in Doubly Linked List

  • Deletion of a node in Doubly Linked List

  • Deletion Algorithm in Doubly Linked List

  • Deletion Method in Doubly Linked List

  • Deletion of entire Doubly Linked List

  • Time and Space Complexity of Doubly Linked List

Section 13 - Circular Doubly Linked List

  • Creation of Circular Doubly Linked List

  • Insertion in Circular Doubly Linked List

  • Insertion Algorithm in Circular Doubly Linked List

  • Insertion Method in Circular Doubly Linked List

  • Traversal of Circular Doubly Linked List

  • Reverse Traversal of Circular Doubly Linked List

  • Search for a node in Circular Doubly Linked List

  • Delete a node from Circular Doubly Linked List

  • Deletion Algorithm in Circular Doubly Linked List

  • Deletion Method in Circular Doubly Linked List

  • Entire Circular Doubly Linked List

  • Time and Space Complexity of Circular Doubly Linked List

  • Time Complexity of Linked List vs Arrays

Section 14 - Cracking Linked List Interview Questions (Amazon, Facebook, Apple and Microsoft)

  • Linked List Class

  • Question 1 - Remove Dups

  • Question 2 - Return Kth to Last

  • Question 3 - Partition

  • Question 4 - Sum Linked Lists

  • Question 5 - Intersection

Section 15 - Stack

  • What is a Stack?

  • What and Why of Stack?

  • Stack Operations

  • Stack using Array vs Linked List

  • Stack Operations using Array (Create, isEmpty, isFull)

  • Stack Operations using Array (Push, Pop, Peek, Delete)

  • Time and Space Complexity of Stack using Array

  • Stack Operations using Linked List

  • Stack methods - Push , Pop, Peek, Delete and isEmpty using Linked List

  • Time and Space Complexity of Stack using Linked List

  • When to Use/Avoid Stack

  • Stack Quiz

Section 16 - Queue

  • What is a Queue?

  • Linear Queue Operations using Array

  • Create, isFull, isEmpty and enQueue methods using Linear Queue Array

  • Dequeue, Peek and Delete Methods using Linear Queue Array

  • Time and Space Complexity of Linear Queue using Array

  • Why Circular Queue?

  • Circular Queue Operations using Array

  • Create, Enqueue, isFull and isEmpty Methods in Circular Queue using Array

  • Dequeue, Peek and Delete Methods in Circular Queue using Array

  • Time and Space Complexity of Circular Queue using Array

  • Queue Operations using Linked List

  • Create, Enqueue and isEmpty Methods in Queue using Linked List

  • Dequeue, Peek and Delete Methods in Queue using Linked List

  • Time and Space Complexity of Queue using Linked List

  • Array vs Linked List Implementation

  • When to Use/Avoid Queue?

Section 17 - Cracking Stack and Queue Interview Questions (Amazon,Facebook, Apple, Microsoft)

  • Question 1 - Three in One

  • Question 2 - Stack Minimum

  • Question 3 - Stack of Plates

  • Question 4 - Queue via Stacks

  • Question 5 - Animal Shelter

Section 18 - Tree / Binary Tree

  • What is a Tree?

  • Why Tree?

  • Tree Terminology

  • How to create a basic tree in Java?

  • Binary Tree

  • Types of Binary Tree

  • Binary Tree Representation

  • Create Binary Tree (Linked List)

  • PreOrder Traversal Binary Tree (Linked List)

  • InOrder Traversal Binary Tree (Linked List)

  • PostOrder Traversal Binary Tree (Linked List)

  • LevelOrder Traversal Binary Tree (Linked List)

  • Searching for a node in Binary Tree (Linked List)

  • Inserting a node in Binary Tree (Linked List)

  • Delete a node from Binary Tree (Linked List)

  • Delete entire Binary Tree (Linked List)

  • Create Binary Tree (Array)

  • Insert a value Binary Tree (Array)

  • Search for a node in Binary Tree (Array)

  • PreOrder Traversal Binary Tree (Array)

  • InOrder Traversal Binary Tree (Array)

  • PostOrder Traversal Binary Tree (Array)

  • Level Order Traversal Binary Tree (Array)

  • Delete a node from Binary Tree (Array)

  • Entire Binary Tree (Array)

  • Linked List vs Python List Binary Tree

Section 19 - Binary Search Tree

  • What is a Binary Search Tree? Why do we need it?

  • Create a Binary Search Tree

  • Insert a node to BST

  • Traverse BST

  • Search in BST

  • Delete a node from BST

  • Delete entire BST

  • Time and Space complexity of BST

Section 20 - AVL Tree

  • What is an AVL Tree?

  • Why AVL Tree?

  • Common Operations on AVL Trees

  • Insert a node in AVL (Left Left Condition)

  • Insert a node in AVL (Left Right Condition)

  • Insert a node in AVL (Right Right Condition)

  • Insert a node in AVL (Right Left Condition)

  • Insert a node in AVL (all together)

  • Insert a node in AVL (method)

  • Delete a node from AVL (LL, LR, RR, RL)

  • Delete a node from AVL (all together)

  • Delete a node from AVL (method)

  • Delete entire AVL

  • Time and Space complexity of AVL Tree

Section 21 - Binary Heap

  • What is Binary Heap? Why do we need it?

  • Common operations (Creation, Peek, sizeofheap) on Binary Heap

  • Insert a node in Binary Heap

  • Extract a node from Binary Heap

  • Delete entire Binary Heap

  • Time and space complexity of Binary Heap

Section 22 - Trie

  • What is a Trie? Why do we need it?

  • Common Operations on Trie (Creation)

  • Insert a string in Trie

  • Search for a string in Trie

  • Delete a string from Trie

  • Practical use of Trie

Section 23 - Hashing

  • What is Hashing? Why do we need it?

  • Hashing Terminology

  • Hash Functions

  • Types of Collision Resolution Techniques

  • Hash Table is Full

  • Pros and Cons of Resolution Techniques

  • Practical Use of Hashing

  • Hashing vs Other Data structures

Section 24 - Sort Algorithms

  • What is Sorting?

  • Types of Sorting

  • Sorting Terminologies

  • Bubble Sort

  • Selection Sort

  • Insertion Sort

  • Bucket Sort

  • Merge Sort

  • Quick Sort

  • Heap Sort

  • Comparison of Sorting Algorithms

Section 25 - Searching Algorithms

  • Introduction to Searching Algorithms

  • Linear Search

  • Linear Search in Python

  • Binary Search

  • Binary Search in Python

  • Time Complexity of Binary Search

Section 26 - Graph Algorithms

  • What is a Graph? Why Graph?

  • Graph Terminology

  • Types of Graph

  • Graph Representation

  • Graph in Java using Adjacency Matrix

  • Graph in Java using Adjacency List

Section 27 - Graph Traversal

  • Breadth First Search Algorithm (BFS)

  • Breadth First Search Algorithm (BFS) in Java - Adjacency Matrix

  • Breadth First Search Algorithm (BFS) in Java - Adjacency List

  • Time Complexity of Breadth First Search (BFS) Algorithm

  • Depth First Search (DFS) Algorithm

  • Depth First Search (DFS) Algorithm in Java - Adjacency List

  • Depth First Search (DFS) Algorithm in Java - Adjacency Matrix

  • Time Complexity of Depth First Search (DFS) Algorithm

  • BFS Traversal vs DFS Traversal

Section 28 - Topological Sort

  • What is Topological Sort?

  • Topological Sort Algorithm

  • Topological Sort using Adjacency List

  • Topological Sort using Adjacency Matrix

  • Time and Space Complexity of Topological Sort

Section 29 - Single Source Shortest Path Problem

  • SWhat is Single Source Shortest Path Problem?

  • Breadth First Search (BFS) for Single Source Shortest Path Problem (SSSPP)

  • BFS for SSSPP in Java using Adjacency List

  • BFS for SSSPP in Java using Adjacency Matrix

  • Time and Space Complexity of BFS for SSSPP

  • Why does BFS not work with Weighted Graph?

  • Why does DFS not work for SSSP?

Section 30 - Dijkstra's Algorithm

  • Dijkstra's Algorithm for SSSPP

  • Dijkstra's Algorithm in Java - 1

  • Dijkstra's Algorithm in Java - 2

  • Dijkstra's Algorithm with Negative Cycle

Section 31 - Bellman Ford Algorithm

  • Bellman Ford Algorithm

  • Bellman Ford Algorithm with negative cycle

  • Why does Bellman Ford run V-1 times?

  • Bellman Ford in Python

  • BFS vs Dijkstra vs Bellman Ford

Section 32 - All Pairs Shortest Path Problem

  • All pairs shortest path problem

  • Dry run for All pair shortest path

Section 33 - Floyd Warshall

  • Floyd Warshall Algorithm

  • Why Floyd Warshall?

  • Floyd Warshall with negative cycle,

  • Floyd Warshall in Java,

  • BFS vs Dijkstra vs Bellman Ford vs Floyd Warshall,

Section 34 - Minimum Spanning Tree

  • Minimum Spanning Tree,

  • Disjoint Set,

  • Disjoint Set in Java,

Section 35 - Kruskal's and Prim's Algorithms

  • Kruskal Algorithm,

  • Kruskal Algorithm in Python,

  • Prim's Algorithm,

  • Prim's Algorithm in Python,

  • Prim's vs Kruskal

Section 36 - Cracking Graph and Tree Interview Questions (Amazon,Facebook, Apple, Microsoft)

Section 37 - Greedy Algorithms

  • What is Greedy Algorithm?

  • Well known Greedy Algorithms

  • Activity Selection Problem

  • Activity Selection Problem in Python

  • Coin Change Problem

  • Coin Change Problem in Python

  • Fractional Knapsack Problem

  • Fractional Knapsack Problem in Python

Section 38 - Divide and Conquer Algorithms

  • What is a Divide and Conquer Algorithm?

  • Common Divide and Conquer algorithms

  • How to solve Fibonacci series using Divide and Conquer approach?

  • Number Factor

  • Number Factor in Java

  • House Robber

  • House Robber Problem in Java

  • Convert one string to another

  • Convert One String to another in Java

  • Zero One Knapsack problem

  • Zero One Knapsack problem in Java

  • Longest Common Sequence Problem

  • Longest Common Subsequence in Java

  • Longest Palindromic Subsequence Problem

  • Longest Palindromic Subsequence in Java

  • Minimum cost to reach the Last cell problem

  • Minimum Cost to reach the Last Cell in 2D array using Java

  • Number of Ways to reach the Last Cell with given Cost

  • Number of Ways to reach the Last Cell with given Cost in Java

Section 39 - Dynamic Programming

  • What is Dynamic Programming? (Overlapping property)

  • Where does the name of DC come from?

  • Top Down with Memoization

  • Bottom Up with Tabulation

  • Top Down vs Bottom Up

  • Is Merge Sort Dynamic Programming?

  • Number Factor Problem using Dynamic Programming

  • Number Factor : Top Down and Bottom Up

  • House Robber Problem using Dynamic Programming

  • House Robber : Top Down and Bottom Up

  • Convert one string to another using Dynamic Programming

  • Convert String using Bottom Up

  • Zero One Knapsack using Dynamic Programming

  • Zero One Knapsack - Top Down

  • Zero One Knapsack - Bottom Up

Section 40 - CHALLENGING Dynamic Programming Problems

  • Longest repeated Subsequence Length problem

  • Longest Common Subsequence Length problem

  • Longest Common Subsequence  problem

  • Diff Utility

  • Shortest Common Subsequence  problem

  • Length of Longest Palindromic Subsequence

  • Subset Sum Problem

  • Egg Dropping Puzzle

  • Maximum Length Chain of Pairs

Section 41 - A Recipe for Problem Solving

  • Introduction

  • Step 1 - Understand the problem

  • Step 2 - Examples

  • Step 3 - Break it Down

  • Step 4 - Solve or Simplify

  • Step 5 - Look Back and Refactor

Section 41 - Wild West

Java Basic Object Oriented Programing Coding Interview Guide

Prepare for your Java Basic Object Oriented Programming Coding Interview

Created by Jitendra Panigrahy - Associate Technical Architect | Professional Instructor

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Students: 3076, Price: Free

Students: 3076, Price:  Free

This course will Guide you to learn Java Basic Object Oriented Programming and prepare for the interview

This course covers 50+ Java Basic Object Oriented Coding Interview Questions and Answers with real world code examples.

It covers the topics related to Basics of Object Oriented Programming  in Java listed below :

- How Object Oriented Programming is different from Procedure Oriented Programming

- What is Object Oriented Programming

- Why was Object Oriented Programming developed

- Why do we need Class in Object Oriented Programming

-  Why do we need to create Object of class in Object Oriented Programming

- What are the States and Behaviors of Object in Object Oriented Programming

- Define Class and Object in Java

- Code to develop Class and Object in Java ( With ECLIPSE IDE )

- What is and How to use encapsulation in Object Oriented Programming

- Why encapsulation used in Object Oriented Programming

- what is abstraction

- How to identify and build Abstraction in java with real world code example

- Benefits of Abstraction in java

- what is Inheritance

- Purpose of Inheritance in java with real world code example

- Pros and cons of Inheritance

- Types of Inheritance used in java

- What is Polymorphism

- Types of Polymorphism

- Compile time and Runtime Polymorphism in java with real world code examples

- Benefits of Polymorphism in java with with real wold examples

- 50+ Interview Questions and Answers based on Inheritance, Method Overloading and Method Overriding, Downcasting, Upcasting  and use of this and super keyword

Data Structures and Algorithms In Java for Coding Interview

Data Structures and Algorithms in Java to crack Coding Interview Using Java Data Structures Algorithms Java DSA Leetcode

Created by Deepali Srivastava - Author

"]

Students: 2772, Price: $89.99

Students: 2772, Price:  Paid

This "Data Structures and Algorithms In Java" course is thoroughly detailed and uses lots of animations to help you visualize the concepts. 

Subtitles are available for sections - Introduction, Linked List, Stack and Queue, Recursion, Binary Tree and Binary Search Tree. Closed Captioning for rest of the sections is in progress.

This "Data Structures and Algorithms in Java" tutorial will help you develop a strong background in Data Structures and Algorithms. The course is broken down into easy to assimilate short lectures, and after each topic there is a quiz that can help you to test your newly acquired knowledge. The examples are explained with animations to simplify the learning of this complex topic. Complete working programs are shown for each concept that is explained.

This Data Structures and Algorithms in Java course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap, searching and hashing. Various sorting algorithms with implementation and analysis are included. Concept of recursion is very important for designing and understanding certain algorithms so the process of recursion is explained with the help of several examples.

This Data Structures and algorithms in Java course covers following topics with Java implementation :

Algorithm Analysis, Big O notation, Time complexity, Singly linked list, Reversing a linked list, Doubly linked list, Circular linked list, Linked list concatenation, Sorted linked list.

Stack, Queue, Circular Queue, Dequeue, Priority queue, Polish Notations, Infix to Postfix, Evaluation of Postfix, Binary Tree, Binary Search Tree, Tree Traversal (inorder, preorder, postorder, level order), Recursion, Heap, Searching, Hashing

Sorting : Selection, Bubble, Insertion, Shell, Merging, Recursive Merge, Iterative Merge, Quick, Heap, Binary tree, Radix, Address calculation sort

Here is the course content-

  • Algorithm Analysis

  • Linked List

  • Stack and Queue

  • Recursion

  • Binary Tree

  • Binary Search Tree

  • Heap

  • Sorting

  • Searching

  • Hashing

Throughout this Data Structures and Algorithms in Java course, a step by step approach is followed to make you understand different Data Structures and Algorithms. You will see code implementation of different data structures in Java and algorithms are explained in step-wise manner. Through this course you can build a strong foundation and it will help you to crack Data Structures and Algorithms in Java coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms in Java interview topics helps you to attempt tricky interview questions.

In this Data Structures and Algorithms Through Java In Depth course, Java language programs are used for implementing various concepts, but you can easily code them in any other language like C++, C#, or Python.

This Data Structures and Algorithms In Java online course on udemy will help software developers to refresh the concepts studied in Data Structures and Algorithms in Java book / pdf and also to students learning from referred book / pdf.

What students are saying about this course

"It is one of the few courses on Udemy that deals with the actual implementation of the concepts of data structures in java. As of now I am completely satisfied with the course."

"The presentation was, graphically, well organized. This resulted in a great visual illustration of concepts that seem so abstract.  "

"Effective and lucid! This is in fact one of the most underrated courses on Udemy when it comes to Data Structures and Algorithms in Java. The pace is optimum and the explanation is to the point. And to the people who might have a problem with her accent - the delivery style of the instructor is just fine.  "

"This is excellent course on Data structure with wide example range covering each topic "

"The course is great for someone who has zero knowledge of Data Structures And Algorithms."

"The course was well explained and the pace of every lecture was ideal. I had a better understanding about the concepts and had a better understanding and preparation going into my final exam for Data Structures and algorithms. I also have bought the Advanced Data Structures course by Deepali as it has generated a genuine interest in me to learn about advanced concepts of algorithms."

"The concepts are clear. I like the teaching style of the instructor. Concept -> Example -> Code implementation.  "

"An excellent course on data structures. The concepts are explained so well that even a person like me with no computer science background has learnt so many new things. I regret that I did not learn data structures earlier in my career."

"Explained with simple examples. Clarity was 100%"

"Excellent explanation. Very useful for Programming Interviews."

"I enrolled in this course to supplement an Algorithm's class I am taking online, but struggling in. As soon as I worked through the content of this course many of the concepts I was struggling to wrap my mind around made sense. I credit this it the step by step walk-through approach used by the instructor. For each algorithm, there is a dynamic diagram used to illustrate what is happening, and why it is happening. More over, as is required of a Data Struct and Algorithm discussion, the complexity of the algorithms is analyzed and explained in detail. Truly a worthwhile buy if you need a better understanding of the content."

"Summary - a good interactive way to learn/refresh data structure. I took this course to help me to prepare for my Interview. There are mostly everything that is required for an interview. Example are pretty neat.The course is little fast paced, But you will get hang of it as you progress. Some of the examples are really great help in understanding the concept. Overall well I am happy with this."

So what are you waiting for, click on Buy button to enroll now and start learning.

कीजिये तैयारी Programming & Coding Interviews की

A course that teaches pointers, linked lists, general programming, algorithms and recursion like no one else

Created by Loony Corn - An ex-Google, Stanford and Flipkart team

"]

Students: 2492, Price: $89.99

Students: 2492, Price:  Paid

Programming interviews are like standard plays in professional sport - prepare accordingly. Don't let Programming Interview gotchas get you down!

  • The course instruction is in Hindi
  • Programming interviews differ from real programming jobs in several important aspects, so they merit being treated differently, just like set pieces in sport.
  • Just like teams prepare for their opponent's playbooks in professional sport, it makes sense for you to approach programming interviews anticipating the interviewer's playbook
  • This course has been drawn by a team that has conducted hundreds of technical interviews at Google and Flipkart

What's Covered:

  • Pointers: Memory layout of pointers and variables, pointer arithmetic, arrays, pointers to pointers, pointers to structures, argument passing to functions, pointer reassignment and modification - complete with visuals to help you conceptualize how things work.
  • Strings: Strings, Character pointers, character arrays, null termination of strings, string.h function implementations with detailed explanations.
  • Linked lists: Visualization, traversal, creating or deleting nodes, sorted merge, reversing a linked list and many many problems and solutions, doubly linked lists.
  • Sorting and searching algorithms: Visualize how common sorting and searching algorithms work and the speed and efficiency of those algorithms
  • Recursion: Master recursion with lots of practice! 8 common and uncommon recursive problems explained. Binary search, finding all subsets of a subset, finding all anagrams of a word, the infamous 8 Queens problem, executing dependent tasks, finding a path through a maze, implementing PaintFill, comparing two binary trees
  • Step-by-step solutions to dozens of common programming problems: Palindromes, Game of Life, Sudoku Validator, Breaking a Document into Chunks, Run Length Encoding, Points within a distance are some of the problems solved and explained.
  • Trees and Binary Search Trees
  • Heaps and Binary Heaps
  • Graphs

Beat the Codility Coding Interview in Java

Learn and practice how to solve many coding puzzles from Codility using Java

Created by James Cutajar - Software Developer, Author, Instructor

"]

Students: 2449, Price: $19.99

Students: 2449, Price:  Paid

This course has been designed to help you pass your next coding interview. It focuses on puzzles from Codility's training lessons, so if you have an online coding test coming up, this course is perfect for you.

The key to passing coding interviews is to practice as much as possible by solving various types of coding puzzles. In doing so you sharpen your problem solving skills and eventually you will start to see patterns amongst the different coding solutions. You also increase your chances of being asked a problem you’ve already solved.

In this course you’ll get to practice many of these coding puzzles. In every section we introduce the topic, explain the problem and later provide you with a few hints that help solve the puzzle. In the end we arrive at the solution together.

Along the way you'll learn how to ride a motorbike, surf, scuba dive and fly an aeroplane. *

Join me on this course, and let’s get you to pass this interview!

*Not really, however this course is pretty fun regardless.

All code in this course can be found on github, username/project: cutajarj/CodilityInJava

Beat the Codility Coding Interview in Ruby

Learn and practice how to solve many coding puzzles from Codility using Ruby.

Created by James Cutajar - Software Developer, Author, Instructor

"]

Students: 1372, Price: $19.99

Students: 1372, Price:  Paid

This course has been designed to help you pass your next coding interview. It focuses on puzzles from Codility's training lessons, so if you have an online coding test coming up, this course is perfect for you.

The key to passing coding interviews is to practice as much as possible by solving various types of coding puzzles. In doing so you sharpen your problem solving skills and eventually you will start to see patterns amongst the different coding solutions. You also increase your chances of being asked a problem you’ve already solved.

In this course you’ll get to practice many of these coding puzzles. In every section we introduce the topic, explain the problem and later provide you with a few hints that help solve the puzzle. In the end we arrive at the solution together.

Along the way you'll learn how to ride a motorbike, surf, scuba dive and fly an aeroplane. *

Join me on this course, and let’s get you to pass this interview!

*Not really, however this course is pretty fun regardless.

All code in this course can be found on github, username/project: cutajarj/CodilityInRuby

Data Structures & Algorithms – JavaScript

The Ultimate JavaScript Coding Interview Bootcamp

Created by Scott Barrett - Instructor

"]

Students: 970, Price: $89.99

Students: 970, Price:  Paid

This course is different…

After each line of code, an animation of the data structure or algorithm is updated to show exactly what that line of code did.

The animations provide some huge advantages to students:

  • Increased understanding of the concepts

  • Greater rate of retention

  • The material can be covered in a fraction of the time

That means that you can actually learn more material in less time and have higher retention of the material.

That is the key combination of factors to prepare you for the technical interview that lands you your dream job!

I invite you to watch a few of the videos in this course to see what I mean. The difference will be noticeable right away!

I spent over a year to create this course with the goal that an absolute beginner can take it and understand all of the concepts the first time through.

What you will get in this course…

Over 100 hand crafted HD videos that use animations to illustrate technical concepts.

Here is what you will learn in this course:

Technical

  • Big O notation

Data Structures

  • Arrays

  • Linked Lists

  • Doubly Linked Lists

  • Stacks & Queues

  • Binary Trees

  • Hash Tables

  • Graphs

Algorithms

Sorting

  • Bubble Sort

  • Selection Sort

  • Insertion Sort

  • Merge Sort

  • Quick Sort

Searching

  • Breadth First Search

  • Depth First Search

I am excited to help you move forward with your coding and career goals. 

Let's get started!