Best Probability Courses

Find the best online Probability 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 Probability Courses.

Become a Probability & Statistics Master

Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions

Created by Krista King - Your geeky, trusty math tutor


Students: 55539, Price: $199.99

Students: 55539, Price:  Paid


This 163-lesson course includes video and text explanations of everything from Probability and Statistics, and it includes 45 quizzes (with solutions!) and an additional 8 workbooks with extra practice problems, to help you test your understanding along the way. Become a Probability & Statistics Master is organized into the following sections:

  • Visualizing data, including bar graphs, pie charts, Venn diagrams, histograms, and dot plots

  • Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots

  • Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores

  • Probability, including union vs. intersection and independent and dependent events and Bayes' theorem

  • Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables

  • Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals

  • Hypothesis testing, including inferential statistics, significance levels, type I and II errors, test statistics, and p-values

  • Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square


Videos: Watch over my shoulder as I solve problems for every single math issue you’ll encounter in class. We start from the beginning... I explain the problem setup and why I set it up that way, the steps I take and why I take them, how to work through the yucky, fuzzy middle parts, and how to simplify the answer when you get it.

Notes: The notes section of each lesson is where you find the most important things to remember. It’s like Cliff Notes for books, but for math. Everything you need to know to pass your class and nothing you don’t.

Quizzes: When you think you’ve got a good grasp on a topic within a course, you can test your knowledge by taking one of the quizzes. If you pass, great! If not, you can review the videos and notes again or ask for help in the Q&A section.

Workbooks: Want even more practice? When you've finished the section, you can review everything you've learned by working through the bonus workbook. The workbooks include tons of extra practice problems, so they're a great way to solidify what you just learned in that section.


  • “Krista is an experienced teacher who offers Udemy students complete subject matter coverage and efficient and effective lessons/learning experiences. She not only understands the course material, but also selects/uses excellent application examples for her students and presents them clearly and skillfully using visual teaching aids/tools.” - John

  • “Really good, thorough, well explained lessons.” - Scott F.

  • “This is my second course (algebra previously) from Ms. King's offerings. I enjoyed this course and learned a lot! Each video explains a concept, followed by the working of several examples. I learned the most by listening to Ms King's teaching of the concept, stopping the video, and then attempting to work the example problems. After working the problems, then watching her complete the examples, I found that I really retained the concepts. A great instructor!” - Charles M.


  • Lifetime access to Become a Probability & Statistics Master

  • Friendly support in the Q&A section

  • Udemy Certificate of Completion available for download

  • 30-day money back guarantee

Enroll today!

I can't wait for you to get started on mastering probability and statistics.

- Krista :)

Workshop in Probability and Statistics

This workshop will teach you the fundamentals of statistics in order to give you a leg up at work or in school.

Created by George Ingersoll - MBA & PhD


Students: 28056, Price: $39.99

Students: 28056, Price:  Paid

This workshop is designed to help you make sense of basic probability and statistics with easy-to-understand explanations of all the subject's most important concepts. Whether you are starting from scratch or if you are in a statistics class and struggling with your assigned textbook or lecture material, this workshop was built with you in mind.

Probability and Statistics for Business and Data Science

Learn how to apply probability and statistics to real data science and business applications!

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


Students: 23054, Price: $99.99

Students: 23054, Price:  Paid

Welcome to Probability and Statistics for Business and Data Science!

In this course we cover what you need to know about probability and statistics to succeed in business and the data science field!

This practical course will go over theory and implementation of statistics to real world problems. Each section has example problems, in course quizzes, and assessment tests.

We’ll start by talking about the basics of data, understanding how to examine it with measurements of central tendency, dispersion, and also building an understanding of how bivariate data sources can relate to each other.

Afterwards we’ll dive into probability , learning about combinations and permutations, as well as conditional probability and how to apply bayes theorem.

Then we’ll move on to discussing the most common distributions found in statistics, creating a solid foundation of understanding how to work with uniform, binomial, poisson, and normal distributions.

Up next we’ll talk about statistics, applying what we’ve learned so far to real world business cases, including hypothesis testing and the student's T distribution.

We’ll end the course with 3 sections on advanced topics, such as ANOVA (analysis of variance), understanding regression analysis, and finally performing chi squared analysis.

The sections are modular and organized by topic, so you can reference what you need and jump right in!

Our course includes HD Video with clear explanations and high quality animations, we also include extensive case studies to show you how to apply this knowledge to the real world.

We'll cover everything you need to know about statistics and probability to clearly tackle real world business and data science problems!


  • Measurements of Data

  • Mean, Median, and Mode

  • Variance and Standard Deviation

  • Co-variance and Correlation

  • Permutations and Combinations

  • Unions and Intersections

  • Conditional Probability

  • Bayes Theorem

  • Binomial Distribution

  • Poisson Distribution

  • Normal Distribution

  • Sampling

  • Central Limit Theorem

  • Hypothesis Testing

  • T-Distribution Testing

  • Regression Analysis


  • Chi Squared

  • and much more!

Not only do you get great technical content, but you’ll also have access to our online QA forums as well as our student chat channel. Where the TAs and myself are happy to help out with any questions you encounter! Upon finishing this course you’ll receive a certificate of completion you can post on your linkedin profile to show off to your colleagues, or even potential employers!

All of this content comes with a 30 day money back guarantee, so you can try out the course risk free!

So what are you waiting for? Enroll today and we'll see you inside the course!

Probability and Statistics 1: The Complete Guide

Learn everything fast through concise yet contented lectures

Created by L Sang - Maths tutor with a first-honours degree in Mathematics


Students: 21987, Price: $89.99

Students: 21987, Price:  Paid

I know, Probability and Statistics is difficult. But is there a way to make it easy? Of course. I for one managed that.

I know a lot of people struggle with it; a very small group of people are good at it. Back in university, I was in that bigger group, the group that struggled through Probability and Statistics lecture. I needed help; I couldn't understand a thing, but I finally found help and turned my exam result around. I guess since you're looking at this, you need help too.

This 6-hour COMPLETE GUIDE course contains everything you need to know to get started with Probability and Statistics. It's packed with videos that have been categorised into different topics, hence easy for you to learn.

I've included lots of definitions, theorems, quizzes, examples, concise notes for EVERY single section, exercises, and a walkthrough of all the exercise sheets. Most importantly, I've done a BONUS section for you! It includes some additional questions that will strengthen your skill even more.

With this basic Probability and Statistics course, you will have a good core understanding to pursue many more difficult Mathematics topic. In this course, everything has been broken down into a simple structure to make learning and understanding easy for you.

This COMPLETE guide is for those of you are looking to get a full understanding of the basics; the important parts. You've already shown half of your determination by looking at the course, so if this course sounds right for you, boost your eagerness to learn and join me on this journey!


1) It will be very useful if you also take notes of your own as you're watching the lectures, it will help you understand everything better and quicker. Just pause if I move on to other topics too fast or if you haven't fully understood the previous sub-topic before you move on to the next parts.

2) Please ask any questions you may have in the Q&A section if you don't understand. It's one thing to not understand it, but it's a whole new experience and a very important thing to do when learning Maths to be able to discuss it with fellow students who are going through the same thing.

3) Use headphones for better sound. (I suggest you turn the volume up)

4) Don't forget you can always slow down or speed up the video!

Master Statistics & Probability 2020: Beginner-To-Advanced

Includes 100+ Meaningful Lectures, Homework Assignments, Quizzes, Comprehensive Exams & An Online Statistics Textbook!

Created by Kody Amour - YouTuber - I Teach 50,000 Students In 8 Courses


Students: 15824, Price: $19.99

Students: 15824, Price:  Paid

***This course has been updated in 2020. Check out some of our lectures below!***

Included in the purchase of this course are:

  • 100+ Comprehensive & Meaningful Lectures

  • Dozens Of Homework Assignments (Autograded) Via MyOpenMath

  • Several Quizzes (Autograded) To Assess Understanding Of Each Section

  • Comprehensive Midterm Exams And Final Exams (Autograded) To Assess Understanding Of The Entire Curriculum

  • A Complete Open-Source Online Statistics Textbook

You are probably asking yourself the question, "When and where will I use statistics and/or probability?" If you read any newspaper, watch television, or use the Internet, you will see statistical/probabilistic information. There are statistics about crime, sports, education, politics, and real estate. Typically, when you read a newspaper article or watch a television news program, you are given sample information and predictions. With this information, you may make a decision about the correctness of a statement, claim, or "fact." Statistical and probabilistic methods can help you make the "best educated guess."

Since you will undoubtedly be given information relating to statistics/probability at some point in your life, you need to know some techniques for analyzing the information thoughtfully. Think about buying a house or managing a budget. Think about your chosen profession. The fields of economics, business, psychology, education, biology, law, computer science, police science, and early childhood development require at least one course in statistics and probability.


Master Statistics & Probability 2020 will teach you how to:

  • Recognize and differentiate between key terms.

  • Apply various types of sampling methods to data collection.

  • Create and interpret frequency tables.

  • Display data graphically and interpret graphs: stemplots, histograms, and box plots.

  • Recognize, describe, and calculate the measures of location of data: quartiles and percentiles.

  • Recognize, describe, and calculate the measures of the center of data: mean, median, and mode.

  • Recognize, describe, and calculate the measures of the spread of data: mean average deviation, standard deviation, and range.

  • Understand and use the terminology of probability.

  • Determine whether two events are mutually exclusive and whether two events are independent.

  • Calculate and interpret expected values.

  • Recognize and understand continuous probability density functions in general.

  • Recognize the normal probability distribution and apply it appropriately.

  • Recognize the standard normal probability distribution and apply it appropriately.

  • Compare normal probabilities by converting to the standard normal distribution.

  • Recognize central limit theorem problems.

  • Classify continuous word problems by their distributions.

  • Apply and interpret the central limit theorem for means.

  • Apply and interpret the central limit theorem for sums.

  • Calculate and interpret confidence intervals for estimating a population mean and a population proportion.

  • Interpret the Student's t probability distribution as the sample size changes.

  • Discriminate between problems applying the normal and the Student's t distributions.

  • Calculate the sample size required to estimate a population mean and a population proportion given a desired confidence level and margin of error.

  • Describe hypothesis testing in general and in practice

  • Conduct and interpret hypothesis tests for a single population mean, population standard deviation known.

  • Conduct and interpret hypothesis tests for a single population mean, population standard deviation unknown.

  • Conduct and interpret hypothesis tests for a single population proportion.


Videos: Watch engaging content involving interactive whiteboard lectures as I solve problems for every single math issue you’ll encounter in Statistics and Probability. We start from the beginning... I explain the problem setup and why I set it up that way, the steps I take and why I take them, how to work through the yucky, fuzzy middle parts, and how to simplify the answer when you get it.

Notes: The notes section of each lesson is where you find the most important things to remember. It’s like Cliff Notes for books, but for Statistics and Probability. Everything you need to know to pass your class and nothing you don’t.

Quizzes: When you think you’ve got a good grasp on a topic within a lecture, test your understanding with a quiz. If you pass, great! If not, you can review the videos and notes again or ask for help in the Q&A section.

Workbooks: Want even more practice? When you've finished the section, you can review everything you've learned by working through the bonus workbooks. These workbooks include tons of extra practice problems (all with detailed solutions and explanations for how to get to those solutions), so they're a great way to solidify what you just learned in that section.


  • Lifetime access to a free online Statistics & Probability textbook

  • Lifetime access to Master Statistics & Probability 2020

  • Friendly support in the Q&A section

  • Udemy Certificate of Completion available for download

So what are you waiting for? Learn Statistics and Probability in a way that will advance your career and increase your knowledge, all in a fun and practical way!


  • "Kody is a great teacher. He clearly presents complex ideas with great examples and explanations. His lectures are always very energetic and engaging. I have learned more in his class than I did in two semesters of statistics required for my BS in Software Engineering!" - Stew M.

  • “The videos are short and move along quickly, which lends itself to taking notes and quickly reviewing those notes between videos. The enunciation and clear and concise explanations are excellent. The class is coupled with an OpenText book online with its own video explanations and practice problems. All of this leaves me confident in the material!” - Calvin T.

  • "Great course. Good to learn all about statistics from very basic to advanced. The lectures are very easy to follow and understand. Nice instructor that explains clearly, he made the course interesting. I intend to finish the course ASAP." - Jugkapong C.

  • "So lovely the course as well as the teacher. I normally find it difficult to learn with Udemy but this course is easy to learn with." - Victoria S.

  • "Lecturer really clear and resources are really useful." - Xiao J.

  • "[Kody] very nicely defined all aspect from the basics of stats. Very helpful." - Pritinanda S.

  • "Great course. Simply explained. Covers a lot of areas in Statistics. Thanks Kody." - Fahad R.

  • "Excellent instructor and quality of course. Recommended strongly for beginners." - Laxman K.

  • "Thank you sir....the course was wonderful designed it very well. It was meeting to my needs... Thank you :)" - Chanchala J.

Does the course get updated?

It’s no secret how Statistics and Probability curriculum is advancing at a rapid rate. New, more complex content and topics are changing Statistics and Probability courses across the world every day, meaning it’s crucial to stay on top with the latest knowledge.

A lot of other courses on Udemy get released once, and never get updated. Learning from an outdated course and/or an outdated version of Statistics and Probability can be counter productive and even worse - it could teach you the wrong way to do things.

There's no risk either!

This course comes with a full 30 day money-back guarantee. Meaning if you are not completely satisfied with the course or your progress, simply let Kody know and he will refund you 100%, every last penny no questions asked.

You either end up with Statistics and Probability skills, go on to succeed in college level Statistics and Probability courses 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…

You literally can’t lose. Ready to get started?

Enroll now using the “Add to Cart” button on the right, and get started on your way to becoming a master of Statistics and Probability. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

See you on the inside (hurry, your Statistics & Probability class is waiting!)

Some content was used from Creative Commons, and attribution is provided within the curriculum of this course.

Probability in R. Discrete Random Variables

Infermath links mathematical theory with programming application to give high level understanding of quantitative fields

Created by Pawel Dudko - Financial Engineer


Students: 10819, Price: Free

Students: 10819, Price:  Free

Probability in R is a course that links mathematical theory with programming application. Discrete Random Variables series gives overview of the most important discrete probability distributions together with methods of generating them in R. Fundamental functionality of R language is introduced including logical conditions, loops and descriptive statistics. Viewers are acquainted with basic knowledge of numerical analysis.

Course is designed for students of probability and statistics who would like to enrich their learning experience with statistical programming. While basic knowledge of probability and calculus is useful prerequisite it is not essential. The suggested method of using the course is by repeating the reasoning and replicating the R code. Therefore it is essential for students to download and use R in the course.

The course consists of twelve short lectures totaling two hours of video materials. Four major topics are covered: Bernoulli distribution (2 lectures), binomial distribution (3 lectures), geometric distribution (3 lectures) and Borel-Cantelli lemma (4 lectures). Eight lectures are presented in a form of writing R code. Remaining four lectures focus solely on theory of probability.

How is Infermath different from other education channels? It equips students with tools and skills to use acquired knowledge in practice. It aims to show that learning mathematics is not only useful but also fun and inspiring. It places emphasis on equal chances in education and promotes open source approach.

The Absolute Beginners Guide to Statistics and Probability

Build your mathematics and statistics foundations strongly

Created by Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight! - Cybersecurity, Data Science & Human Capital Practitioners!


Students: 10725, Price: $39.99

Students: 10725, Price:  Paid


You need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist.


Learning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail.

We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on.

Why learn it?

Probability, Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal.

Advanced Statistics

Regressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail.

Main features of this course:

  • Provides you the complete package to be comfortable using statistics and analyzing data

  • Covers all stages of data analysis process

  • Very easy to understand

  • No complicated equations

  • Plain English instead of multiple statistical terms

  • Practical, with mobile shopping case study

  • Exercises and quizzes to help you master data analysis and statistics

Upon completion of this course, you'll be ready to apply what you've learned to excel in your statistics classes and make smarter business decisions

Who this course is for:

  • Professionals desiring to augment their statistical & mathematical skills

  • Anyone seeking to increase their data analytics capability

Probability for Statistics and Data Science

Probability for improved business decisions: Introduction, Combinatorics, Bayesian Inference, Distributions

Created by 365 Careers - Creating opportunities for Business & Finance students


Students: 10631, Price: $89.99

Students: 10631, Price:  Paid

Probability is probably the most fundamental skill you need to acquire if you want to be successful in the world of business. What most people don’t realize is that having a probabilistic mindset is much more important than knowing “absolute truths”.

You are already here, so actually you know that.

And it doesn’t matter if it is pure probability, statistics, business intelligence, finance or data science where you want to apply your probability knowledge…

Probability for Statistics and Data Science has your back!

This is the place where you’ll take your career to the next level – that of probability, conditional probability, Bayesian probability, and probability distributions.

You may be wondering: “Hey, but what makes this course better than all the rest?”

Probability for Statistics and Data Science has been carefully crafted to reflect the most in-demand skills that will enable you to understand and compute complicated probabilistic concepts. This course is:

  • Easy to understand

  • Comprehensive

  • Practical

  • To the point

  • Beautifully animated (with amazing video quality)

Packed with plenty of exercises and resources

That’s all great, but what will you actually learn? Probability. And nothing less.

To be more specific, we focus on the business implementation of probability concepts. This translates into a comprehensive course consisting of:

  • An introductory part that will acquaint you with the most basic concepts in the field of probability: event, sample space, complement, expected value, variance, probability distribution function

  • We gradually build on your knowledge with the first widely applicable formulas:

  • Combinatorics or the realm of permutations, variations, and combinations. That’s the place where you’ll learn the laws that govern “everyday probability”

  • Once you’ve got a solid background, you’ll be ready for some deeper probability theory – Bayesian probability.

  • Have you seen this expression: P(A|B) = P(B|A)P(A)/P(B) ? That’s the Bayes’ theorem – the most fundamental building block of Bayesian inference. It seems complicated but it will take you less than 1 hour to understand not only how to read it, but also how to use it and prove it

  • To get there you’ll learn about unions, intersections, mutually exclusive sets, overlapping sets, conditional probability, the addition rule, and the multiplication rule

Most of these topics can be found online in one form or another. But we are not bothered by that because we are certain of the outstanding quality of teaching that we provide.

What we are really proud of, though, is what comes next in the course. Distributions.

Distributions are something like the “heart” of probability applied in data science. You may have heard of many of them, but this is the only place where you’ll find detailed information about many of the most common distributions.

  • Discrete: Uniform distribution, Bernoulli distribution, Binomial distribution (that’s where you’ll see a lot of the combinatorics from the previous parts), Poisson

  • Continuous: Normal distribution, Standard normal distribution, Student’s T, Chi-Squared, Exponential, Logistic

Not only do we have a dedicated video for each one of them, how to determine them, where they are applied, but also how to apply their formulas.

Finally, we’ll have a short discussion on 3 of the most common places where you can stumble upon probability:

  • Finance

  • Statistics

  • Data Science

    If that’s not enough, keep in mind that we’ve got real-life cases after each of our sections. We know that nobody wants to learn dry theory without seeing it applied to real business situations so that’s in store, too!

We think that this will be enough to convince you curriculum-wise. But we also know that you really care about WHO is teaching you, too. 

Teaching is our passion  

We worked hard for over four months to create the best possible Probability course that would deliver the most value to you. We want you to succeed, which is why the course aims to be as engaging as possible. High-quality animations, superb course materials, quiz questions, handouts and course notes, are just some of the perks you will get. What else?

Exceptional Q&A support. Yes. That’s our favorite part – interacting with you on the various topics you learn about (and you are going to love it, too!)

What makes this course different from the rest of the Probability courses out there?  

  • High-quality production – HD video and animations (This isn’t a collection of boring lectures!)

  • Knowledgeable instructor (an adept mathematician who has competed at an international level) who will bring you not only his probability knowledge but the complicated interconnections between his areas of expertise – finance and data science

  • Comprehensive – we will cover all major probability topics and skills you need to level up your career

  • Extensive Case Studies - helping you reinforce everything you’ve learned  

  • Exceptional support – we said that, but let’s say it again - if you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day

  • Succinct – the biggest investment you’ll make is your own time. And we will not waste it. All our teaching is straight to the point

    Still not convinced?

Here’s why you need these skills?  

  1. Salary/Income – most businesses are starting to realize      the advantages of implementing data-driven decisions. And those are all stepping on probability. A probabilistic mindset is definitely one of the non-automatable skills that managers of the next decade will be  expected to have

  2. Promotions and secure future – If you understand probability well, you will be able to back up your business and positions in much more convincing way, draining from quantitative evidence; needless to say, that’s the path to career growth       

  3. New horizons – probability is a pathway to many positions in any industry. While it is rarely a full-time position, it is crucial for most business jobs nowadays. And it’s not a boring aspect!

Please bear in mind that the course comes with Udemy’s 30-day money-back guarantee. And why not give such a guarantee? We are certain this course will provide a ton of value for you.  

Let's start learning together now!


Building a Binary Classification Model in Azure ML

What's the probability you'd live or die on the Titanic?

Created by Mike West - Creator of LogikBot


Students: 10139, Price: Free

Students: 10139, Price:  Free

"First impressions are "Finally, a practicing educator" Course delivery is smooth and spot on. Right before you lose hope a gem like this pops up - thanks."  - Don Councill

Welcome to Building a Binary Classification Model in Azure ML.

Microsoft’s goal of democratizing machine learning is taking shape.

Taking predictive analytics to public cloud seems like the next logical step towards large-scale consumerization of Machine Learning. Azure ML does just that, while making it significantly easier for the developers to build high probability machine learning models without a PhD in statistics.

In this course, we are going to build one of the simplest and most common models, the binary classification model.

The goal of binary classification is to categorize data points into one of two buckets: 0 or 1, true or false and to survive or not to survive.

Many decisions in life are binary, answered either Yes or No. Many business problems also have binary answers. For example: “Is this transaction fraudulent?”, “Is this customer going to buy that product?”, or “Is this user going to churn?” In machine learning, this is called a binary classification problem.

We will use binary classification to predict the probability of someone surviving if they had been aboard the Titanic.

We are going to create an end to end workflow. We will download the data set, clean it, model it, evaluate it then publish our results so others can use it.

Upon completing the course you’ll know how to create a model that accurately predicts the survivability of an individual based on attributes in the data set.

You’ll gain insight into the vernacular used in machine learning. 

For example, in the last sentence I used the world ‘attribute.’  An attribute in machine learning is no different than a column in a data set.

Various attributes affect the outcome of the prediction. For example, my chance of survival was 21.07% if I would have been in first class. If I would have been in second class my changes dropped to 2.16%. Either way, I wouldn't have made it. 

Thanks for your interest in Building a Binary Classification Model in Azure ML..  We will see you in the course!!!

Axiomatic Probability – Mathematics

Understanding Axiomatic Approach to Probability in Mathematics

Created by Great IT Courses - Mathematics


Students: 3681, Price: Free

Students: 3681, Price:  Free

In Basic High School mathematics, you'll come across three approaches to probability:

  • Empirical Probability

  • Statistical Probability (Classical Probability)

  • Axiomatic Approach to probability

This course teaches the axiomatic approach to probability by discussing the theory first and then using many useful typical example. In the end, you will be able to calculate the probability of almost any typical event, as long as it is not beyond the scope of this text.

This course is also a part of a road map that takes from the basics of mathematics (pre-algebra - class 6) all the way up to calculus (class 12) based on the Indian system of education (NCERT). The text used here will give you a sturdy and robust foundation in mathematics provided that the whole road map is studied from beginning to end. The road map is highly recommended if you are planning a career in science, mathematics or engineering. 

To access the road map, please search for "Great IT Courses" on the internet. on the website, please read the page titled as, "Mathematics 6-12 Standard". The same page has also been linked from the second lecture of the course.

To locate this particular course in the road map, please go to the page related to "Class 11". This course is title as, "16. Probability".

Thank you! 

Basics Concepts of Probability and Statistics for Beginners

A Complete Beginner Guide to statistics & Probability. Master the Fundamentals of Probability and Statistics.

Created by LetsTute Make it Easy - Experts in Mathematics, Science, Accounting & Art and Craft


Students: 3565, Price: $19.99

Students: 3565, Price:  Paid

Probability is a numerical measure of the likelihood of an event. Probability tells us how often some event will happen after many repeated trials. Whereas Statistics is a form of mathematical analysis that uses quantified models, representations, and synopses for a given set of experimental data or real-life studies. Statistics studies methodologies to gather, review, analyze and draw conclusions from data.

How it is done exactly?

So we have designed this best-selling course on Probability and Statistics which will give a broad idea on theoretical, experimental, compound probability, permutations, combinations also how the data should be collected, analyzed, interpreted, presented, and organized.  This course is designed in a very easy manner to understand probability and statistics with the most important concepts.


  • You'll only need basic arithmetic and algebra knowledge to learn statistics and probability, so if you have that simple foundation, you'll be able to learn it easily.

-What you will learn? 

-Basics of Probability and Statistics

-Different types of events that occur (Sample space)

-Basic probability rules

-Experiment based problem solving 

(Coin, Dice, Card & Ball Experiment)

-Introduction of Statistics & Probability

-Data handling

-How to measure central tendency?

-Calculation of Mean, Median & Mode

-Problems based on cumulative frequency.

-Who can take this course?

  • The course can be taken by school students, teachers, or any learner who has Probability & Statistics as a part of their curriculum.

  • It will also help teachers who are willing to give the best quality education to students.

-Benefits of Taking this Course:

  • On completion of this course, one will not only understand the concept in-depth but will also be able to improve their data analysis techniques and predictions skills and hence score good marks in their exams with the help of:

  • Explanatory videos that ensure complete concept understanding.

  • Downloadable resources help in applying your knowledge to solve various problems.

  • Quiz videos help in testing your knowledge.

  • In short, it is an interesting course fulfilling all the student's needs.

So hurry up and enroll now for Probability & Statistics course!!

Statistics Practice: Probability and Random Variables

75+ solved questions to help you get into the flow of cracking statistics problems (Binomial, Normal Distribution etc)

Created by Shubham Kalra - Author, Founder and Econometrics Tutor at Eduspred


Students: 2385, Price: $89.99

Students: 2385, Price:  Paid

This course is the key to learn how to crack statistics questions. It has students from over 100 countries and here is what some of them have to say about this Statistics course:

I already knew the basics of these concepts but I was struggling with the questions. This course has very well explained solutions - Ananya Nath

This is my third course with this instructor. He saved my Statistics exam. Big thank you! - Vidit Kumar

Well explained, step by step - Francisco Sanchez

The sole purpose of this course is to make you feel more confident in solving statistics questions by showing you the approaches involved in a simple and step by step manner. 

This statistics course has step by step solutions to help you get into the flow of cracking statistics questions related to the following concepts:

  • Basics of Permutations and Combinations

  • Probability (Sample space and events)

  • Probability (Axioms and Properties)

  • Conditional Probability and Bayes' Theorem

  • Probability: Independent Events

  • Probability Distributions for Discrete Random Variables

  • Expected Values for Discrete Random Variables

  • The Binomial Probability Distribution

  • Probability Density Function for Continuous Random Variables

  • Cumulative Distribution Functions and Expected Values for Continuous Random Variables

  • Uniform Distribution

  • Normal Distribution

This course is apt for students who already have basic understanding of these topics and are looking for some solved questions to practice along and to fill in the understanding gaps.

All that said, if you would like to discuss something while you are learning, please feel free to start a discussion or PM me. I would be happy to help.

Basics Of Probability : Learn With Probability Examples

Pretty new to Probability? Great!! You at the right course. Learn Probability examples and solutions at your own pace

Created by Malay Biswal PMP, SAFe PO/PM, Math and Telecom Enthusiast - Top-Rated Instructor, making-life-simple coach, 9k+ Students


Students: 2052, Price: $24.99

Students: 2052, Price:  Paid

This course, "Introduction To Probability Basics" is all about explaining absolute fundamentals of probability in the simplest way possible.

We will cover below probability topics (which normally creates confusion) in detail

  • Sample space

  • Favorable outcome

  • Probability formula

  • Experimental Probability

  • Theoretical Probability

  • Complementary events

  • Dice problems related to probability

  • Flipping coin problems related to probability

  • Drawing cards from a deck

  • Problems related to Drawing balls of different colors from a bag

This course consists of all-video lectures and we will solve probability questions together. We will take step-by-step approach and I will explain you all the basic probability concepts in a layman terms. We will see “what exactly is the meaning of probability?” by taking different probability examples. And I guarantee you that you will love and master probability basics by end of this course.

What-if the course is total crap?

You can get a full refund within 30 days and no question asked, if you didn't like the course.

So enroll now risk-free and master probability basics.

Decision Making: Mistakes, in Probability and Statistics !

Lessons for Leaders and Managers: Learn and Avoid the common Misconceptions and Mistakes, in Probability & Statistics.

Created by Sivakami S ; MBA ; Ph.D (ongoing) - Experienced Business Leader, Academic, and Research Scholar


Students: 1543, Price: $79.99

Students: 1543, Price:  Paid

Most of us have learnt some Probability and Statistics in High School, or later in college, or as part of our MBA. We know the basic concepts, and may even use it regularly in our judgements and decisions!

However, what most of us may not be aware of, are the many many ways we can be de-railed, in using concepts from Probability and Statistics, in making our decisions! The various errors commonly made, the many misconceptions we have. In judging probabilities and risks, sampling and statistics.

The Human brain is not wired to intuitively understand probability or statistics. Researchers of the brain, believe that mathematical truths make little automatic sense to our mind, especially when considering random and non-random outcomes, or when considering a large amount of data. And because of that, we automatically and subconsciously end up making a lot of mistakes, in assessing risks and likelihood.

This Course will help you learn about, and try to avoid and minimize, such mistakes and misconceptions. It will be useful for everyone, but especially  for Leaders and Managers, whose various judgements and decisions can affect many people, organizations and countries!

This is a Beginner level Course, and it assumes a basic High school level knowledge of Probability and Statistics.

Some Images and Videos courtesy Pixabay, Pexels, Pressfoto and FreePik. Some Music snippets courtesy Bensound.

Pre-Analysis & Probability I : Sets, Functions & Logic

Abstract Boolean Algebra

Created by Arnold Ruymgaart - AP Ruymgaart


Students: 1540, Price: Free

Students: 1540, Price:  Free

Although an easy introduction requiring only high school algebra, this is a preparatory course for those who are beginning their study of quantitative fields requiring advanced math such as the hard sciences, engineering, CS, data science or mathematics. This course is also well suited for those of any age (high school and up) who simply want to learn more about math. The main topics here are sets, set Cartesian product, relations and functions, operations and their properties & Boolean algebra/logic from an abstract and set theory perspective.

Math AT Home – Probability

Learning the concepts of Basis Math

Created by Sashi Bhaskar - Academic Counsellor


Students: 1418, Price: Free

Students: 1418, Price:  Free

This course contains all the chapters that are important to understand basic Math, like number system, statistics, geometry, linear equations, variables, square and cube of numbers and circles. With the help of these chapters one can easily clear all the concepts required to be at par with the rest. Students from 6th to 9th grade can watch the videos and learn and practice as well.

In number system we will learn all about plotting numbers on a number line. With visual graphics one can easily get what is being taught. In the case of linear equations after learning about equations in 1 variable we will also see how with more than one variable. In geometry and we learn all about different polygons and focus on triangles and quadrilaterals. In case of circles since it is the most important part of geometry and consists a lot of theorems we have taken good examples to clear all doubts. In variables we will be monomial, binomial and much more.  Well when we talk about finding squares and cubes of numbers we will get to know the best short cut tricks to find them in minutes.

We have designed the course in such a way that each chapter in divided in small videos. All the very bet.

Introduction to Probability and Statistics

A college level first course in Statistics

Created by Dane McGuckian - University Statistics Instructor


Students: 1263, Price: $99.99

Students: 1263, Price:  Paid

This course will begin with an overview of data types and descriptive Statistics. There will be extensive coverage of probability topics along with an introduction to discrete and continuous probability distributions. The course ends with a discussion of the central limit theorem and coverage of estimation using confidence intervals and hypothesis testing. This course is equivalent to most college level Statistics I courses.

Probability made easy: Continuous randomness

Get ready for a college exam

Created by Dynamic Lectures -


Students: 1205, Price: $19.99

Students: 1205, Price:  Paid

This course is a part in a series of courses that covers a complete course in probability theory taught in the US colleges.

In this course you will learn continuous probability theory. You will learn how to predict the results of continuous random events and how to predict how much on average the actual results would deviate from your estimate.

If you are looking for an efficient way to learn/review probability theory, this course is for you. With dynamic slides, each hour of the series covers the material of more than a week of regular live lectures!

You may review lectures as many times as you want, skip easy exercises when the material is familiar, choose your own pace! If you need help, I will answer every question you post on the discussion board. If you are not completely satisfied, I offer a 30 day money back guarantee.

Probability and Statistics:Psychology and Business statistic

probability and statistics. psychology statistics. business statistics.

Created by Ermin Dedic - All Things Data.


Students: 1064, Price: $19.99

Students: 1064, Price:  Paid

Welcome to 'Probability and Statistics;Psychology and Business statistics'. This course is ideal for those attempting to understand psychology statistics or business statistics.

My statistics course is ideal for those studying on their own, or if you are in a statistics class and struggling with your assigned textbook or lecture material. I know stats courses can be boring, so I try to make it as exciting as possible.

The examples have a psychology bend, but this course is absolutely relevant for business students, especially those in data analysis that have to get a better understanding of statistical tests and the fundamental concepts. So welcome to you whether you are in business or psychology.

I provide examples within the lessons, so this should cut down your study time. Furthermore, I make sure that students understand the links between the different lessons. This helps you understand the bigger picture, and it also tends to decrease study time as you aren't stuck wondering "how does this all come together"?

Be able to distinguish between key statistical concepts and procedures

What's the difference between a sample and a population? Why do we test effect size after we get a significant result? What is a significant result? What's the difference between Type 1 and Type 2 errors? What role does probability play in bridging population and samples?

Choose the appropriate hypothesis test based on given information and make statistical inferences!

  • T-test (independent and repeated measures)

  • ANOVA (independent and repeated measures)

  • correlation (using the Pearson correlation)

  • linear regression 

  • chi-square

Calculate t-tests, ANOVA, correlation, linear regression... correctly and confidently

You will get clear instructions on how to calculate each of the tests. When you finish you will have the ability to calculate each test correctly and confidently.

Be able to break down each formula and explain its individual components

Understanding how to plug numbers and use formulas is important, but as important is to be able to understand what we are measuring. I'll break down the individual components of formulas/equations.

Contents and Overview 

The course offers 3.5 hours or so of content. The 3.5 hours is sort of deceptive as I've tried to pack each second with something relevant and something important. I've made the course in a way to not waste your time and almost everything that is said in the lectures/lessons has a purpose.

Enroll today! Probability and Statistics;Psychology and Business statistics will make you comfortable to use stats if you are in the fields of psychology and business.

Probability and Statistics – Practice Tests and Solutions

Probability and Statistics | 100+ Problems + Explanation Videos | For CQA, CQE, CSSGB, CSSBB, CQT, CQPA Exam Preparation

Created by Sandeep Kumar ­ - Experienced Quality Director • Six Sigma Coach • Consultant


Students: 1032, Price: $99.99

Students: 1032, Price:  Paid

Learn probability and statistics by solving problems.

This course will test your understanding of the basic concepts related to Probability, Statistics and Data Analysis. More than 100 questions with solutions have been included in this course.

The following areas of statistics are covered:

Descriptive Statistics - Mean, Mode, Median, Quartile, Range, Inter Quartile Range, Standard Deviation

Data Visualization - Commonly used charts such as Histogram and Box and Whisker Plot

Probability - Basic Concepts, Permutations, Combinations

Probability Distributions - Normal, Binomial and Poisson Distributions

Hypothesis Testing - One Sample and Two Samples - z Test, t-Test, p Test, F Test, Chi-Square Test

ANOVA - Analysis of Variance (ANOVA)

You can use this course to prepare for the CQA, CQE, CSSGB, CSSBB, CQT or CQPA exams.

Note: We are not a representative of ASQ®, IASSC® or any other certification organization. ASQ® is the registered trademark of the American Society for Quality. IASSC® is the registered trademark of the International Association for Six Sigma Certification. We are an independent training provider. We are neither associated nor affiliated with the certification organization(s) mentioned in our courses. The name and title of the certification exam mentioned in this course are the trademarks of the respective certification organization. We mention these names and/or the relevant terminologies only for describing the relevant exam processes and knowledge (i.e. Fair Use).

Pre-Analysis & Probability II : Groups, Rings & Fields

Set Theory & Group Theory

Created by Arnold Ruymgaart - AP Ruymgaart


Students: 919, Price: Free

Students: 919, Price:  Free

This course is about algebraic structures. It includes an introduction to identity, inverse and idempotent elements. We'll see that Boolean conjunction and disjunction can be seen as multiplication and addition and investigate possible additive and multiplicative identities and inverses. This is followed by power sets and basic operations on elements of power sets (union, intersection, complement, difference). All concepts are then combined in a discussion of algebraic structures including groups, rings and fields. We end with Boolean rings and describe set algebra as an example Boolean ring. In the review session we complete an example proof from CH1 of W. Rudin's Principles Of Mathematical Analysis using the axioms of a field.

Probability made easy: Learn counting techniques

Learn counting techniques

Created by Dynamic Lectures -


Students: 758, Price: $19.99

Students: 758, Price:  Paid

This is a second series of lectures in Probability theory. In this course you will learn the four principle counting techniques used in probability theory:

  • Ordered sampling with replacement (lecture 2)
  • Ordered sampling without replacement (lecture 4)
  • Unordered sampling without replacement (lecture 5)
  • Unordered sampling with replacement (lecture 7)

This course is the second part of a college level course in probability theory.

Keywords: ordered (unordered) sampling with (without) replacement, binomial coefficients, Bernoulli trials process, intransitive dice

The course includes 10 lectures with downloadable transcripts in pdf format.

If you take this course, you can count on my help. I will answer every single question you post on the discussion board.

Your feedback is important. Please write a short review and let me know what I can do to improve the course, or just rate the course! Thank you!

Probability for Risk Management and Optimization

Be Conceptually Right

Created by Girijesh Pathak - National Insurance Academy, Pune, Maharashtra, India


Students: 510, Price: $89.99

Students: 510, Price:  Paid

Probability is a measure of uncertainty and we have to deal with it everywhere. Managing risk and optimizing system performance in uncertain situations are some of the major challenges faced by every professionals. This course discusses about probability and it's sensitivity to help in risk management. It also gets into some kind of modelling to gain important insight into queue optimization. There are several application oriented practice questions with solutions in this course.

This course starts with basic probability concepts and focusses on first principles to build understanding about permutation, combination and counting. It discusses about some of the most popular probability distributions with an objective of moving towards application of the concepts. One should be able to improvise on these concepts to take care of special needs.

It works on some of the important concepts related to probability where students generally go wrong such as probability with continuous variables and not equally likely outcomes. 

This course is not a conventional probability course discussing about various laws of probability and formulas to calculate probability values. But, it tries to make you understand the nuances of probability concepts so that you can become more comfortable in applying them and avoiding some of the serious mistakes.

Learn Probability- Concepts & Examples of Probability

A course on Probability that boosts your confidence and inspires you to solve probability problems with an ease.

Created by Sandeep Kumar Mathur - Faculty (Maths)


Students: 453, Price: Free

Students: 453, Price:  Free

If you find it difficult to remember various formulas of Probability ? If you have a feeling of not being confident in Probability ? If you facing difficulty in solving Probability questions and feel that you need to strengthen your basics? Then you have come to the right place.

Probability is an important branch of statistics. It helps in solving many problems arise in practical situations. Generally many questions do come from this topic in competition exams. The course is useful for both beginners as well as for advanced level. Here, this course covers the following areas in details:

  • Probability as classic approach

  • Basics of Permutations and combinations

  • Various types of events

  • Conditional Probability

Each of the above topics has a great explanation of concepts and excellent and selected examples.

I am sure that this course will be create a strong platform for students and those who are planning for appearing in competitive tests and studying higher Mathematics and statistics.

You will also get a good support in Q&A section . It is also planned that based on your feed back, new material like Random variable ,mean , variance  etc. will be added to the course. Hope the course will develop better understanding and boost the self confidence of the students.

Waiting for you inside the course!

So hurry up and Join now !!

Mastering Probability & Statistic Python (Theory & Projects)

Statistic & Probability for Machine Learning & Data Science: Learning Statistics, Probability & Bayes Classifier, Python

Created by AI Sciences Team - Support Team AI Sciences


Students: 443, Price: $89.99

Students: 443, Price:  Paid

In today’s ultra-competitive business universe, Probability and Statistics are the most important fields of study. That is because statistical research presents businesses with the data they need to make informed decisions in every business area, whether it is market research, product development, product launch timing, customer data analysis, sales forecast, or employee performance.

But why do you need to master probability and statistics in Python?

The answer is an expert grip on the concepts of Statistics and Probability with Data Science will enable you to take your career to the next level.

The course ‘Mastering Probability and Statistics in Python’ is designed carefully to reflect the most in-demand skills that will help you in understanding the concepts and methodology with regards to Python. The course is:

  • Easy to understand.

  • Expressive.

  • Comprehensive.

  • Practical with live coding.

  • About establishing links between Probability and Machine Learning.

How is this course different?

This course is designed for beginners, although we will go far deep gradually.

As this course is a compilation of all the basics, it will encourage you to move ahead and experience more than what you have learned. At the end of each module, you will work on the Home Work/tasks, which will evaluate/further build your learning based on the previous concepts and methods.

Machine learning is certainly a rewarding career that not only allows you to solve some of the most interesting problems but also presents you with a handsome salary package. If successful career growth is your primary aim, then a core understanding of Statistics and Probability with Data Science will ensure just that.

This inexpensive and comprehensive course will teach you the concepts and methodologies of Statistics and Probability with Data Science at a fraction of the price that similar courses will cost you. Our tutorials are divided into 75+ brief videos along with detailed code notebooks. The videos are available in HD.

So, without any further delay, get started with the course content and equip yourself with the latest knowledge that’s in high demand. Listen to the video, pause it, understand the concept, and start working on the assigned problems.

Teaching is our passion:

We work hard to make learning easy for you. Our online tutorials have been created with the best possible guide to help you grasp the concepts instantly. We aim to create a strong basic understanding for you before you move onward to the advanced version. High-quality video content, most relevant and recent course material, questions for assessing whether you have learned the new concepts thoroughly, course notes, and handouts are some of the perks that you will get. Also, our team will swiftly respond to all your queries.

Course Content:

The comprehensive course consists of the following topics:

● Difference between Probability and Statistics.

● Set Theory

  1. Countable and Uncountable Sets

  2. Partitions

  3. Operations

  4. Sets in Python

● Random Experiment

  1. Outcome

  2. Event

  3. Sample Spaces

● Probability Model

  1. From Event to Probability

  2. Probability Rules (Axioms)

  3. Conditional Probability

  4. Independence

  5. Continuous Models

● Discrete Random Variables

  1. From Event to Variables

  2. Probability Mass Functions

  3. Important Discrete Random Variables

  4. Transformation of Random Variables

● Continuous Random Variables

  1. Probability Density Functions

  2. Exponential Distribution

  3. Gaussian Distribution

● Multiple Random Variables

  1. Joint PMF

  2. Joint PDF

  3. Mixed Random Variables

  4. Random Variables in Real Datasets

  5. Conditional Independence

  6. Classification

  7. Bayes Classifier

  8. Naïve Bayes Classifier

  9. Regression

  10. Training in Deep Neural Networks

● Expectation

  1. Mean, Sample Mean

  2. Law of Large Numbers

  3. Expectation of Transformed Random Variable

  4. Variance

  5. Moments

  6. Parametric Estimation Using Law of Large Numbers

● Estimation

  1. Maximum Likelihood Estimate (MLE)

  2. Maximum A Posteriori Probability Estimate (MAP)

  3. Ridge Regression

  4. Logistic Regression

  5. KL-Divergence

After completing this course successfully, you will be able to:

  • Relate the concepts and theories in Machine Learning with Probabilistic reasoning.

  • Understand the methodology of Statistics and Probability with Data Science using real datasets.

Who this course is for:

  • People who want to upgrade their data speak.

  • People who want to learn Statistics and Probability with real datasets in Data Science.

  • Individuals who are passionate about numbers and programming.

  • People who want to learn Statistics and Probability along with its implementation in realistic projects.

  • Data Scientists.

  • Business Analysts.

REMEMBER, the course comes with a 30-day money-back guarantee, so you can sign up today with no risk. So what are you waiting for? Enrol today to master Probability and Statistics.

Probability made easy: Expected value and variance

Expected value and variance

Created by Dynamic Lectures -


Students: 438, Price: $19.99

Students: 438, Price:  Paid

This course is a part in a series of courses that covers a complete course in probability theory taught in the US colleges.

In this course you will learn the notions of expected value and variance. You will learn how to predict the results of random events and how to predict how much on average the actual results would deviate from your estimate.

If you are looking for an efficient way to learn/review probability theory, this course is for you. With dynamic slides instead of slower handwriting, each hour of the series covers the material of more than a week of regular live lectures! Though it is not a replacement for a live course, it is a fantastic aid.

You may review lectures as many times as you want, skip easy exercises when the material is familiar, choose your own pace! If you need help, I will answer every single question you post on the discussion board. If you are not completely satisfied, I offer a 30 day money back guarantee.

What is in the package:

  • more than 20 theoretic video lectures and lectures with motivations,
  • 19 practice video lectures marked as easy, intermediate and advanced,
  • more than 60 pages of transcripts of video lectures,
  • hundreds of slides,
  • paradoxes, jokes, and, of course,
  • my help (post your questions on the board!).

Probability Theory

By MJ the Fellow Actuary

Created by Michael Jordan - Actuary (FASSA/CERA)


Students: 437, Price: Free

Students: 437, Price:  Free

Welcome to this short course on Probability Theory.

We will cover the following topics:

  • Set Theory

  • Venn Diagrams

  • Probability Theory

  • Conditional Probability

  • Bayesian Probability

We will then look at a few questions that are based on the actuarial exams.

This course at a First Year University Level and assumes you have had an introduction to Probability at school. The course is quite mathematical and you might want to brush up on your maths abilities before attempting it.

Applied Probability / Stats for Computer Science, DS and ML

Real-world, code-oriented learning for programmers to use prob/stats in all of CS, Data Science and Machine Learning

Created by Mohammad Nauman - Helping YOU learn software engineering, quickly and easily!


Students: 88, Price: $19.99

Students: 88, Price:  Paid

Everyone wants to excel at machine learning and data science these days -- and for good reason. Data is the new oil and everyone should be able to work with it. However, it's very difficult to become great in the field because the latest and greatest models seem too complicated. "Seem complicated" -- but they are not! If you have a thorough understanding of probability and statistics, they would be much, much easier to work with! And that's not all -- probability is useful in almost all areas of computer science (simulation, vision, game development, AI are only a few of these). If you have a strong foundation in this subject, it opens up several doors for you in your career!

That is the objective of this course: to give you the strong foundations needed to excel in all areas of computer science -- specifically data science and machine learning. The issue is that most of the probability and statistics courses are too theory-oriented. They get tangled in the maths without discussing the importance of applications. Applications are always given secondary importance.

In this course, we take a code-oriented approach. We apply all concepts through code. In fact, we skip over all the useless theory that isn't relevant to computer science (and is useful for those pursuing pure sciences). Instead, we focus on the concepts that are more useful for data science, machine learning, and other areas of computer science. For instance, many probability courses skip over Bayesian inference. We get to this immensely important concept rather quickly and give it the due attention as it is widely thought of as the future of analysis!

This way, you get to learn the most important concepts in this subject in the shortest amount of time possible without having to deal with the details of the less relevant topics. Once you have developed an intuition of the important stuff, you can then learn the latest and greatest models even on your own! Take a look at the promo for this course (and contents list below) for the topics you will learn as well as the preview lectures to get an idea of the interactive style of learning.

Remember: The reason you pay for this course is support. I reply within the day. See any of my course reviews for proof of that. So make sure you post any questions you have or any problems you face. I want all my students to finish this course. Let’s get through this together.