Best Business Analytics Courses

Find the best online Business Analytics 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 Business Analytics Courses.

Make Money from Home: How to Build an Online Business

Learn all the basics of online entrepreneurship while building a real business with your own portfolio of websites.

Created by mike omar - Online Entrepreneur

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Students: 222721, Price: Free

Students: 222721, Price:  Free

HOW TO MAKE MONEY ONLINE: Learn how to make money from home with my step-by-step plan to build a $5,000 per month passive income website portfolio (based on building 10 websites that make at least $500 per month each).

In association with the Make Money from Home LIONS CLUB.

NO PRIOR EXPERIENCE REQUIRED. ALL INSTRUCTIONS ARE FULLY DETAILED AND STEP-BY-STEP SO ANYONE CAN FOLLOW THEM EASILY.

Online passive income is the ultimate dream. Making money while you sleep. Everybody wants it.

But is it really possible?

The short answer is "yes."

The longer answer is "yes, but it isn't easy to accomplish."

If it was, wouldn't everyone be doing it?

In my course, I give you a step-by-step plan on how to develop a passive income website portfolio and show you how making money online actually works.

The specific plan I teach is designed to make you $5,000 per month in passive income earnings, based on 10 websites, with each website having a targeted earnings level of at least $500 each. Once you understand the process though, you can decide to build 20 of these websites, or 100! When you stop is up to you (and yes, there are people making tens of thousands of dollars per month on the Internet based on these concepts - they just love the work and don't ever stop building new websites or expanding their current ones!).

What's great about the business plan that I teach you is not only the income level you will accomplish if you follow through, but all that you will learn in the process. The first lesson you are taught is how to build a website or blog using WordPress on your own domain (without having to learn how to code). The skills you learn in this course will enable you to build all kinds of online businesses and open the door for all kinds of entrepreneurial projects you may have.

Note: When I say we will be creating a website using WordPress, I don't mean creating one through the WordPress website. Websites created through the WordPress website are severely limited in what you can do with them and offer very little flexibility overall. The method I teach enables you to create truly professional websites by installing the WordPress software and you won't be limited in any way.

Not only that, you will be able to evaluate business ideas much more intelligently once you've gone through this whole process. You will understand the fundamentals of keyword research & analysis, traffic & lead generation, social & affiliate marketing, monetization & conversion testing, and traffic analysis. These skills will help you immensely in ANY business you ever decide to start (online or not, passive or not).

Generating an online passive income won't happen overnight and takes a lot of hard work, but going through the process is completely worth it and having an exact plan of action is the ONLY way to ensure success.

Let me put it this way: if you were offered no pay for six months for 40+ hours of work per week, but after those six months, you got $5,000+ per month for the rest of your life, would that be worth it to you?

If that idea isn't unbelievably exciting to you, then this isn't the business for you.

This isn't a get rich quick scheme. This is a business. Except with this business, instead of trading your time for money (like most jobs), you are investing your time. You work hard now and continue to reap the benefits indefinitely. Building an online business takes a lot of work and a lot of patience, but the rewards can be amazing.

That's the kind of business I teach you in this course.

NOTE: Throughout my course you will be referred to video lessons. While everything in video lessons are as up to date as possible (I frequently update the video lessons), the place to check for the most up-to-date information is in the video descriptions (on the same page you watch the videos). This can be the video descriptions on the pages of the LIONS CLUB website, or the video description of the Udemy or YouTube pages. Be sure to read the video descriptions of each video before watching the video itself.

R Basics – R Programming Language Introduction

Learn the essentials of R Programming - R Beginner Level!

Created by R-Tutorials Training - Data Science Education

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Students: 181445, Price: Free

Students: 181445, Price:  Free

Are you interested in data science?

Do you want to learn R totally from scratch?

Are you looking for an easy step by step approach to get into R?

Do you want to take an easy R course for BEGINNERS?

Well, if your answer is YES to some of these questions, look no further, this course will help you.

I created this course for the total beginner. That means for you: No prior knowledge required! If this is your first computer programming language to use - congratulations, you found your entry level material. If you are new to data science, no problem, you will learn anything you need to to start out with R.

That also means for you: if you are already used to R, you will likely benefit more from an advanced course. I have more than ten intermediate and advanced R courses available on Udemy, which might be more suited towards your needs. Check out the r-tutorials instructor profile for more info.

Let’s take a look at the content and how the course is structured:

We will start with installation, the R and RStudio interface, add on packages, how to use the R exercise database and the R help tools.

Then we will learn various ways to import data, first coding steps including basic R functions, functions and loops and we will also take a look at the graphical tools.

The whole course should take approx. 3 to 5 hours, and there are exercises available for you to try out R. You will also get the code I am using for the demos.

Anything is ready for you to enter the world of statistical programming.

What R you waiting for?

Martin

SQL – MySQL for Data Analytics and Business Intelligence

SQL that will get you hired – SQL for Business Analysis, Marketing, and Data Management

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

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Students: 112931, Price: $99.99

Students: 112931, Price:  Paid

How important is database management in the age of big data and analytics?

It is really important.   

How many employers would be happy to hire employees who can use data for the purposes of business intelligence?   

All of them.

 

How many people have these skills?

Not enough.

 

This is why now is the time to learn SQL and gain a competitive advantage in the job market. Remember, the average salary of a SQL developer is $92,000! That’s a lucrative career.   

How come?   

Well, when you can work with SQL, it means you don’t have to rely on others sending you data and executing queries for you. You can do that on your own. This allows you to be independent and dig deeper into the data to obtain the answers to questions that might improve the way your company does its business. For instance, Database management is the foundation for data analysis and intelligent decision making.   

Worried that you have no previous experience? 

Not an issue. We will start from the very basics and gradually teach you everything you need to know. Step by step. With no steps skipped.   

Why take this course in particular? Isn’t it like the rest of the SQL courses out there?

 

We would like to think it isn’t. Our team worked hard to create a course that is:

 

  • Easy to understand

     

  • Time efficient and concise

     

  • Shows how SQL can be crucial for data analytics and business intelligence   

  • Comprehensive – it covers several topics not shown in other SQL courses   

  • Practical – it teaches you how to work with a real-life database   

  • Corresponds to professional best practices

     

  • Taught in MySQL – The most popular SQL database management system

     

  • Contains plenty of downloadable exercises, course notes, and quiz questions

     

Some of these aspects have been covered in other courses. Others haven’t. However, no one provides such a variety of topics in one place.

 

We firmly believe this course is the best training material out there. It is a truly interactive experience preparing you for a real-life working environment.   

We love teaching   

So far, over 210,000 students have enrolled in our courses here on Udemy. Teaching is what we do best, and we take pride in going the extra mile to create the best content for you, our students. Our mission is to help you bridge the gap between theoretical knowledge taught at school and in universities and the practical application required at the workplace.   

So, why do you need to enroll in this course and learn SQL?

 

  1. Salary/Income. As we pointed out earlier, learning SQL is a great opportunity. There is a significant surge in demand for skills revolving around database management, database administration, and business analysis relying on data. Companies will pay top dollars for specialists who have such know-how

     

  2. Profession of the future. In the years to come, data will only grow in importance and size. Therefore, it is great to pick up a skill that will likely increase in demand over the years to come

     

  3. Analytical reasoning. Programming languages are a great way to train your mind. Furthermore, understanding a business task and looking for its solution through writing code can be really interesting and stimulating once you become familiar with the basics

     

What about certificates? Do you provide a certificate?

Upon completion of the course, you will be able to download a certificate of completion with your name on it. Then, you can upload this certificate on LinkedIn and show potential employers this is a skill you possess.

 

Sounds awesome, right?

 

So, what are you waiting for? Click the “Take this course” button, and let’s begin this journey together!

 

Learn Power BI Basics for Free

In this tutorial you will be learning all basic knowledge required for Power BI and understanding Power BI component

Created by Vishal Pawar - Microsoft MVP Data Platform, Solution Architect

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Students: 93846, Price: Free

Students: 93846, Price:  Free

Learn Power BI Basics for Free !

Power BI transforms your company's data into rich visuals for you to collect and organize so you can focus on what matters to you. Stay in the know, spot trends as they happen, and push your business further.

Let us help you bring your data to life !

Looking for new ways to find and visualize data and to share your discoveries? Power BI can help. This collection of tools, online services and features from Microsoft transforms your company's data into rich visuals for you to collect and organize, so you can spot trends, collaborate in new ways, and make sense of your data.

This video tutorial contains following chapter decks

  1. Introduction to Course
  2. Introduction to Power BI and all Its Components
  3. How to download and installation Component of Power BI
  4. Power BI Desktop
  5. Power BI Service Online.
  6. Power BI Gateways
  7. PowerPivot
  8. PowerQuery
  9. PowerView
  10. PowerMap
  11. Power BI - Q&A
  12. Power BI Mashup
  13. What a next!

Marketing Analytics and Retail Business Management

Retail analytics using MS Excel - Covering Forecasting, Market Basket, RFM, Customer Valuation & Price Bundling

Created by Start-Tech Academy - 3,000,000+ Enrollments | 4+ Rated | 160+ Countries

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Students: 74919, Price: $29.99

Students: 74919, Price:  Paid

You're looking for a complete course on understanding Marketing Analytics and Retail Business Management to drive business decisions involving production schedules, inventory management, promotional mail optimization, store layouting, estimating right bundle price, customer valuation and many other parts of the business., right?

You've found the right Marketing Analytics & Retail Business Management course! This course teaches you everything you need to know about different forecasting models, Market Basket analysis, conducting market research, marketing analytics, RFM (recency, frequency, monetary) analysis, Customer Valuation methods & Price Bundling analysis and how to implement these models in Excel using advanced excel tool.

After completing this course you will be able to:

  • Implement forecasting models such as simple linear, simple multiple regression, Additive and multiplicative trend and seasonality model and many more, required for devising marketing analytics strategies effectively.

  • Perform marketing analytics and market basket analysis and calculate lift to derive a store layout that maximizes sales from complementary products.

  • Do RFM (Recency, frequency, and monetary value) analysis to help you maximize profit from promotional mail campaigns.

  • Increase revenue/profit of your firm by implementing revenue / profit maximizing bundle price point using marketing analytics tool like Excel solver Add-in

  • Understand the value of your customers to make intelligent decisions based on recommendations of marketing analytics and marketing research on how to spend money acquiring them

  • Confidently practice, discuss and understand different marketing analytics models used by organizations

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics & Retail Business Management course.

If you are a business manager or an executive, or a student who wants to learn and apply forecasting models, marketing analytics techniques based on marketing research in real world problems of business, this course will give you a solid base for that by teaching you the most popular forecasting models and marketing analytics strategies and how to implement them.

Why should you choose this course?

We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts of marketing analytics, marketing research through how-to examples. Each section has the following components:

  • Theoretical concepts and cases of different forecasting models and marketing analytics techniques

  • Step-by-step instructions on implementing forecasting models and marketing analytics in excel

  • Downloadable Excel file containing data and solutions used in each lecture on marketing analytics and retail business management

  • Class notes and assignments to revise and practice the concepts on marketing analytics and retail business management

The practical classes where we create the model for each of these strategies is something which differentiates this course from any other course available online.

What makes us qualified to teach you?

The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Analytics and we have used our experience to include the practical aspects of Marketing analytics, marketing research, forecasting techniques and data analytics in this course.

We are also the creators of some of the most popular online courses - with over 170,000 enrollments and thousands of 5-star reviews like these ones:

This is very good, i love the fact the all explanation given can be understood by a layman - Joshua

Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, marketing analytics, marketing research, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts on Marketing analytics, marketing research, forecasting techniques. Each section contains a practice assignment for you to practically implement your learning on Marketing analytics, marketing research, forecasting techniques.

What is covered in this course?

Understanding how future sales will change is one of the key information needed by manager to take data driven decisions. In this course, we will explore how one can use marketing analytics tools and forecasting models to

  • See patterns in time series data

  • Make forecasts based on models

Let me give you a brief overview of the course

  • Section 1 - Introduction

    In this section we will learn about the course structure containing Marketing analytics, marketing research, forecasting techniques.

  • Section 2 - Basics of Forecasting

    In this section, we will discuss about the basic of forecasting and we will also learn the easiest way to create simple linear regression model in Excel

  • Section 3 - Getting Data Ready for Regression Model

    In this section you will learn what actions you need to take step by step to get the data and then prepare it for the marketing analytics purpose. These steps are very important.

    We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation. These are the building blocks of implementing marketing analytics techniques effectively.

  • Section 4 - Forecasting using Regression Model

    This section starts with simple linear regression and then covers multiple linear regression. We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.

    We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables data set are interpreted in the results.

  • Section 5 - Handling Special events like Holiday sales

    In this section we will learn how to incorporate effects of Day of Week Effect, Month Effect or any special event such Holidays, pay day etc.

  • Section 6 - Identifying Seasonality & Trend for Forecasting

    In this section we will learn about trends and seasonality and how to use the Solver to develop an additive or multiplicative model to estimate trends and seasonality. We will also learn how to use moving averages to eliminate seasonality to easily see trends in sales.

  • Section 7 - Market Basket Analysis and Lift

    In this section we will learn about Marketing analytics, marketing research, market basket analysis and learn how to calculate lift to derive a store layout that maximizes sales from complementary products.

  • Section 8 - Recency, frequency, and monetary value analysis

    In this section we will learn techniques to perform RFM (Recency, frequency, and monetary value) analysis to help you maximize profit from promotional mail campaigns.

  • Section 9 - Recency, frequency, and monetary value analysis

    In this section we will learn price bundling techniques and learn how to increase revenue/profit of your firm by implementing revenue / profit maximizing price point using Excel solver Add-in

  • Section 10 - Recency, frequency, and monetary value analysis

    In this section, we will discuss about the basic of concepts of Customer Lifetime value and learn how to create excel model to find lifetime customer value and perform sensitivity analysis to capture variations in lifetime value under different scenarios.

  • Section 11 - Excel crash course

    If you're new to Excel, or you've played around with it but want to get more comfortable with Excel's advanced features required for this course. Either way, this section will be great for you to revise your rusty excel skills .

Some of the examples in this course are from the book Marketing Analytics: Data-Driven Techniques with Microsoft Excel [Winston, Wayne L.]. We suggest this book as reading material for anyone aspiring to be a marketing analyst and gaining knowledge on Marketing analytics, marketing research, forecasting techniques and data analytics.

I am pretty confident that the course will give you the necessary knowledge and skills related to Marketing analytics, marketing research, forecasting techniques, to immediately see practical benefits in your workplace.

Go ahead and click the enroll button, and I'll see you in lesson 1 of this Marketing Analytics course!

Cheers

Start-Tech Academy

Learn Tableau Desktop for Accurate Business Analysis

Hit the ground running with Tableau Desktop - develop 10 core skills for one of the fastest growing job markets in IT!

Created by Jane Crofts - Tableau Partner and Tableau Qualified Associate

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Students: 66043, Price: Free

Students: 66043, Price:  Free

Let's decide if this course is right for you.

  1. Have you recently started, or are you planning to start, using Tableau Desktop in your business?
  2. Are you looking to quickly build your skills in Tableau Desktop?
  3. Are you looking for Tableau Desktop skills that can be immediately put to use in analysing your business?

If you answered ‘yes’ to these questions, then this course is for you!

This course will give you the skills you need to jump straight in to using Tableau Desktop in your business.

Presented in a business context and working step-by-step through an instructor-led case study, this course goes beyond simply teaching the functions of Tableau Desktop. This course uses real-world business problems to give you 10 core skills that business users should have when using Tableau Desktop.

The 10 Tableau Desktop core skills covered by this course are:

    Bar & Line Charts

    Pie Charts

    Geographic Maps

    Scatter Plots

    Groups

    Area Charts

    Filters

    Dual Axis Charts

    Crosstabs and calculations

    Actions

An additional “Bonus Round” provides some more advanced skill development in formatting data, blending data, creating custom design elements and using responsive dashboard elements to build more sophisticated dashboards.

In addition to the video lectures and supporting notes, you will receive a range of workbooks and additional tools that you can use again and again. These tools and templates have been developed and tested over many years of consulting to organisations of all sizes using Tableau Desktop.

SAP Business Analytics Essential Training

Create data visualization, monitor performance, manage risk with SAP Bl, EPM, GRC and get more insights from your data.

Created by Fredrick Higgins - Senior Analytics BI Consultant at Accenture

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Students: 64267, Price: $99.99

Students: 64267, Price:  Paid

If you have been looking to move to business analyst, this video will provide you with enough information to do so. Not only understanding the basics, but how to make your first business analytics project successful.

Being a great data analyst is about helping your organization make better and more informed decisions.

According to Gartner research, Bl platform software and services sales will be tallied at $30 billion in 2020, and SAP Business intelligence solution has taken up to 10% of market share, so mastering SAP Bl platform is a must.

In this course, I'll share with you the overview of Bl and the unique role of data analysts. I'll then share the tools and techniques used on the SAP Business Intelligence platform and talk about gathering of difference source of data and generate incredible insightful reports by using Crystal reports, web intelligence, analysis edition and dashboards. Finally, I’ll share about the new generation of data visualization tool - SAP Analytics Cloud.

As the 2nd part of the course, we will focus on - SAP Enterprise Performance Management.

EPM software market could reach a value of about 3,600 million US dollar by 2022, and SAP EPM is the 2nd largest company by market share. It provides business users with visibility into business operations with the goal of improving financial strategies, planning, and analysis across all facets of the enterprise.

Finally, we will move to SAP Governance, Risk, and Compliance.

Compliance to the changing regulatory environment can be challenging to implement. IT complexities such as fragmented security frameworks and duplication and inconsistent definition of roles, lead to slower time-to-market and audit issues. SAP GRC can help the company quickly adapt to changes in technology, regulations, and the economy.

If you're ready, grab your gear and let's get started with SAP Business Analytics Essential training.

Tableau 2020 Training for Data Science & Business Analytics

Learn to visualize data and present stories in Tableau 2020. Several hands on practice exercises in Tableau included!

Created by Farzan Sajahan - Business Management and Data Science Consultant

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Students: 57876, Price: $74.99

Students: 57876, Price:  Paid

Learn data visualization using Tableau 2020 through a hands on approach

Whether you are a beginner or have some skills in tableau, from this course you will learn tableau and develop skills that will help you present information and tell compelling stories using data.

50,000+ students have already enrolled in this course giving a 4.6 star rating!

  • This Tableau course is designed to be 100% practical and fully hands on, so you will be working on Tableau as I teach you how to build charts,  dashboards and stories. 

  • We will work together on every single detail that I will teach you and there will be an end of section exercise for you to solidify the knowledge you gained from each section

  • Detailed explanation for the end of section exercise is included so you can compare your results with mine. Every section is built in a way that the skills developed in the previous section will be applied in the later sections, so you will feel more confident and comfortable with tableau as you progress

  • This course includes 12 quizzes covering over 150 questions and a final exam covering 45 questions which will sharpen your understanding of Tableau

  • The learning should continue and that's why I have included a 60 page reference handbook covering every single topic from the course for you to refer during and even after the course.

What students say about this course?

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"The course is split into many stages, each designed to give a solid foundation in tableau without leaving the student with knowledge gaps. If someone is a complete beginner or have Basic knowledge then they can start with this course." - Shashank Shukla

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"I was familiar with Tableau even before starting this course, despite that I found the lessons bringing out an extra level of useful detail and Tableau features. Also I found the lessons appropriately paced which allowed me to try it out in parallel within Tableau. So I'd highly recommend this course to total newbies and familiar beginners alike" - Sendil A B

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"I am a beginner and I find this course extremely useful. The author explains the concepts clearly. The pace of the narration is perfect. Excited to deep dive into this course." - Ram Shankar

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"It was a good match and it is very detailed presentation and many topics are covered in the course" - Yoshihito Koya

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"Great course. Everything Clear and Concise. Great teacher "- Aleksandar Damjanovic

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What will you learn from this course?

Whether you have little or no knowledge about Tableau 2020, by the end of this course, you will be able to:

1. Connect any data and walk through Tableau 2020 with ease

2. Build most commonly used charts such as line chart, bar chart, stacked bar chart, area chart, scatter plot, tree maps, pie charts, maps etc in Tableau from scratch as well as using the in-built templates from the 'show-me' menu in Tableau

3. Create Tableau dashboards by combining multiple charts to present a broad picture to your audience

4. Build interactive elements such as filters, action filters, tool tips, highlights etc. to allow your audience to interact with you Tableau charts and dashboards

5. Animate simple charts to create stunning visual effects in Tableau

6. Create stories in Tableau using dashboards and charts to convey a compelling narrative through data visualization

7. Create calculations using calculated fields, table calculations and level of detail expressions in Tableau

8. Apply data clean up techniques in Tableau such as removing unnecessary variables, filtering rows, splitting data fields, combine and rename classes etc.

9. Combine data from multiple sources using unions, joins, data blending and data modeling techniques in Tableau.

10. Save, export and distribute your Tableau workbook to your audiences, key stakeholders and customers

What is Tableau?

Tableau is a powerful, market leading data visualization and business intelligence software using intuitive drag-and-drop approach that help you to visually analyze data and create stunning visualizations.

Tableau’s simple interface makes anybody interact with the visualizations, discover patterns using underlying data and help make quick decisions.

Why should you learn tableau?

Whether you are an analyst or a business intelligence developer or anyone who has to deal with or present data in your day to day work, Tableau will make your life a lot better with its intuitive visual analytics.

If you are not into dealing with data but want to build a career in data science, data visualization and business analytics then Tableau is one of the most important tools you must learn to move forward in your career.

You will be pleasantly surprised by the quality of the data visualizations you will create within just a couple of weeks into using Tableau.

Your stakeholders and customers would see remarkable value in the data visualization you would create using Tableau.

Plus, if you have been spending hours and hours building charts using other clunky programs, then switching to tableau can save you literally hundreds of hours.

Also, gaining a certification in tableau has proven to be a great addition to one's profile when they want to become a data scientist or a data analyst.

Who should take this course?

You should take the course,

  • If you have little or no existing knowledge in tableau

  • If you have some Tableau skills but you want to get better

  • If you want to learn Tableau from scratch and be able to create great data visualization

  • If are looking to move forward in your career by building skills in data science, data visualization and business analytics

  • If you are someone who works with data day in and day out and look forward to interesting ways to visualize data

  • If you are frustrated with the limitations of the clunky programs and the time you spend in building visualizations

About me

My name is Farzan Sajahan. I am a business management and data science consultant. I have over 15 years of experience in helping organizations make data driven decisions and in rolling out tableau powered business intelligence frameworks.

I currently run an analytics consulting firm focusing on analytics in operations, and marketing management. I currently help a handful of clients solve their operations management problems using analytics and teach data science in a couple of reputed business schools in India.

I have a degree in electronics and communication engineering from Anna University, India and an MBA from Erasmus University, The Netherlands.

I am based out of Chennai, India.

R Programming: Advanced Analytics In R For Data Science

Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2

Created by Kirill Eremenko - Data Scientist

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Students: 51154, Price: $89.99

Students: 51154, Price:  Paid

Ready to take your R Programming skills to the next level?

Want to truly become proficient at Data Science and Analytics with R?

This course is for you!

Professional R Video training, unique datasets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the REAL WORLD.

In this course you will learn:

  • How to prepare data for analysis in R
  • How to perform the median imputation method in R
  • How to work with date-times in R
  • What Lists are and how to use them
  • What the Apply family of functions is
  • How to use apply(), lapply() and sapply() instead of loops
  • How to nest your own functions within apply-type functions
  • How to nest apply(), lapply() and sapply() functions within each other
  • And much, much more!

The more you learn the better you will get. After every module you will already have a strong set of skills to take with you into your Data Science career.

Statistics for Business Analytics and Data Science A-Z™

Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!

Created by Kirill Eremenko - Data Scientist

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Students: 48041, Price: $99.99

Students: 48041, Price:  Paid

If you are aiming for a career as a Data Scientist or Business Analyst then brushing up on your statistics skills is something you need to do.

But it's just hard to get started... Learning / re-learning ALL of stats just seems like a daunting task.

That's exactly why I have created this course!

Here you will quickly get the absolutely essential stats knowledge for a Data Scientist or Analyst.

This is not just another boring course on stats. 

This course is very practical. 

I have specifically included real-world examples of business challenges to show you how you could apply this knowledge to boost YOUR career.

At the same time you will master topics such as distributions, the z-test, the Central Limit Theorem, hypothesis testing, confidence intervals, statistical significance and many more!

So what are you waiting for?

Enroll now and empower your career!

WordPress for Beginners – How to Make a Website Step by Step

Make a Website with WordPress Using a Free WordPress Theme - Simple & Easy. No Experience Required!

Created by Daragh Walsh - Join 1 Million Students In My Best Selling Courses!

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Students: 36598, Price: Free

Students: 36598, Price:  Free

This WordPress Tutorial will guide you through every single step from installation to finished website. After taking you through all of the main options in WordPress, explaining what each one does and how you set it up, I'll let you watch over my shoulder as I build a WordPress website. By the end of this course, you will have a website that you are truly proud of.

Who is this WordPress tutorial for?
If you are a business owner, marketer or aspiring web developer then this course is for you. No experience is required. That's the beauty of WordPress!

This WordPress tutorial for beginners is a fantastic resource for building your own website—no coding required. Whether you have no previous knowledge of HTML, CSS, JavaScript, or PHP and want to create a beautiful blog with minimal hassle, this guide is perfect for you. The installation process couldn't be easier: just upload the files and presto! You're running on the powerful WordPress platform.

WordPress is a great tool to have in your back pocket if you want to build professional websites. This course will show you exactly how.

Get up and running with this easy-to-follow guide for everything you need to know about WordPress - from installing your first blog all the way through maintaining it after launch.  Work alongside seasoned experts as they walk you each step of the process, illustrating just enough detail per section that will allow anyone to glean what's important without dragging them into too much technical jargon.

If you're interested in blogging but intimidated by overabundant complexity, then this is perfect for you--the ultimate WordPress tutorial for beginners!

Lean Analytics Workshop – Alistair Croll and Ben Yoskovitz

Use data to build a better startup faster in partnership with Geckoboard

Created by Lean Analytics - Use data to build a better startup faster

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Students: 29736, Price: Free

Students: 29736, Price:  Free

Lean Analytics: Use data to build a better startup faster

The Lean Startup movement swept through the entrepreneurial world, advocating a lean, iterative approach to finding the right product and market with a constant cycle of building, measuring, and learning. Now Lean Analytics dives deeper into the measurement component of that cycle. The best-selling book is being translated into eight languages, and its authors—startup veterans Ben Yoskovitz and Alistair Croll—have travelled the world teaching founders how to use data to build a better startup faster.

In June, 2013, Alistair and Ben presented an all-day workshop in conjunction with Geckoboard at London's Barbican centre, which we're now making available online. With energy, humour, and a disarming bluntness they'll take you through the concepts of their book: What makes a good metric; how to match the data you track to the stage of your growth; drawing lines in the sand; and changing the culture of organisations of all sizes.

About the presenters

In 2010, Alistair and Ben were two of the co-founders of Year One Labs, an early stage accelerator that provided funding and up to 1-year of hands-on mentorship to 5 startups. Year One Labs followed a Lean Startup program, making it the first accelerator to formalize such a structure. Three of five companies graduated from Year One Labs and went on to raise follow-on financing. A great deal of their experience and thought leadership around Lean Startup and analytics emerged during this time.

Alistair has been an entrepreneur, author, and public speaker for nearly 20 years. He’s worked on a variety of topics, from web performance, to big data, to cloud computing, to startups, in that time. In 2001, he co-founded web performance startup Coradiant (acquired by BMC in 2011), and since that time has also launched Rednod, CloudOps, Bitcurrent, Year One Labs, the Bitnorth conference, the International Startup Festival and several other early-stage companies.

Alistair is the chair of O’Reilly’s Strata conference, Cloud Connect, and Interop’s Enterprise Cloud Summit. This is his fourth book on analytics, technology, and entrepreneurship. Alistair lives in Montreal, Canada and tries to mitigate chronic ADD by writing about far too many things at Solve For Interesting.

Ben is a serial entrepreneur with 15+ years experience in web businesses. He started his first company in 1996 while completing university. In 2007 he co-founded Standout Jobs, a B2B software company in the recruitment space. The company raised $1.8M from venture and angel investors. In 2010 after exiting Standout Jobs, Ben co-founded Year One Labs.

Ben has been blogging since 2006. The “Instigator Blog” is recognized as one of the top blogs on startups and entrepreneurship. Ben is also an active mentor to numerous startups and other accelerator programs, including FounderFuel (a TechStars-like program in Montreal.) He regularly speaks at startup conferences and events, including the Michigan Lean Startup Conference, Internet Marketing Conference, etc.

Ben is currently the VP of Product at GoInstant, a venture-backed startup developing co-browsing technology for shared web experiences.

This workshop is presented to you in partnership with Geckoboard

Buy a copy of Lean Analytics here.

What Is Business Analysis for Information Technology (IT)

An Overview of Business Analysis Activities and Current Business Analysis Techniques

Created by Tom and Angela Hathaway - BA-EXPERTS: Business Analysis for Anyone Wearing the BA Hat

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Students: 26710, Price: Free

Students: 26710, Price:  Free

Business Analysis in the Real World

A Buddhist proverb warns, “Be mindful of intention. Intention is the seed that creates our future.” In a very real sense, this statement expresses the reason for business analysis. This discipline is really all about choosing and defining a desired future because without intention (expressed in business analysis terms, “requirements”), no future is more or less desirable than another.

In reality, every organization does some form of business analysis whether it uses the term or not. For many (especially larger organizations), it is an extremely structured, managed process while others thrive on change and only do business analysis when and as needed. The perception that business analysis is only needed to develop IT solutions is inaccurate. Actually, it is a critical component of any change initiative within an organization whether software is involved or not.

Current Business Analysis Techniques and Methods

The course defines how business analysis is currently practiced. The authors provide insight into this fast-growing field by distinguishing strategic, tactical, and operational business analysis. It provides surveys of what Business Analysts really do and what business analysis techniques people use most often when they are the one “wearing the BA hat”. You will learn what “requirements” really are and what different types of requirements exist. Because many requirements define future information technology (IT) solutions, the authors share their experience on how Waterfall, Iterative, Agile, and Experimental (aka "Chaotic") Software Development methodologies impact the business analysis responsibility.

Who Needs Business Analysis Skills?

Although the field of Business Analysis offers great career opportunities for those seeking employment, some level of business analysis skill is essential for any adult in the business world today. Many of the techniques used in the field evolved from earlier lessons learned in systems analysis and have proven themselves to be useful in every walk of life. We have personally experienced how business analysis techniques help even in your private life.

We created this course for everyday people in the real world to give you a basic understanding of some core business analysis methods and concepts. If this course answers some of your questions, great. If it raises more questions than it answers (implying that it piqued your curiosity), even better. If it motivates you to learn more about this emerging and fascinating topic, it has served its purpose well.

Twitter for Business

Learn to Twitter for Business and Master Twitter Marketing

Created by Eric Schwartzman - Digital Marketing Consultant

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Students: 24494, Price: Free

Students: 24494, Price:  Free

Now that you know how to use Facebook for Business, learn Twitter for business and add Twitter marketing to your digital job skills.

There are 465 million Twitter accounts sharing 175 million tweets each day. Twitter is where business professionals shares news and information, build and strengthen their network of contacts, generate leads, develop new business and even get hired.

If you want to leverage the fastest and most intimate online social network for business, take this course right now and learn to Twitter.

You don't need to be a techie to take this course. Whether you're a digital immigrant or a Facebook ninja, this course is for you!

This course also includes an arsenal of supplemental materials including exclusive audio recordings of discussions with some of the biggest thought leaders. Learn about Twitter today.

Google Analytics Course Zero To Hero

Best Google Analytics Instructions for Business, Track Digital Marketing Analytics to Grow Sales & Optimize Your Website

Created by Pouya Eti • Digital Marketing Expert - Digital Instagram Marketer, Author & Entrepreneur

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Students: 22093, Price: Free

Students: 22093, Price:  Free

Google Analytics Course To Improve Your Website And Business

We will follow powerful Google Analytics instructions to set up our Google Analytics, learn to read the information and analyze them to grow our business and avoid hard mistakes.

.

In this WordPress Website course You will learn how to:

  • Setup Google Analytics and activate all of the important triggers to receive data.

  • Read and analyze data to improve and grow your business.

  • Use powerful custom dashboard for marketing and sales.

  • Track your conversions and grow them

  • Find the exact places on your website that you need to improve.

  • And much more ...

.

During this Google Analytics course we will learn and practice every important element that exist and you need to use to receive important data from your website and use it to improve your business.

Google analytics is a powerful platform that nowadays if you really want to become successful and be able to compete with other brands in your niche you must use it. Even if your business is local, learning Google analytics will give you the right mentality to apply on your business, to find problems, to find mistakes and to solve them.

------------Important!

Along the way I will point out to many powerful marketing tips that can grow your business and website much faster. Pay attention to the bonus marketing strategies inside the course.

------------Important!

If you really want to achieve everything said above join this course NOW! , setup and use Google Analytics and take your business to the next level with "Create WordPress Website For Marketing & Sales" course.

WordPress Website For Marketing & Sales by Pouya Eti 

Excel Data Visualization for Business Analysts

Become an expert in data visualization using Excel as your canvas. Go past basic Excel charts to up your data vis game.

Created by Excel TV - Excel MVPs, Authors and Bloggers

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Students: 19847, Price: Free

Students: 19847, Price:  Free

Master Data Visualization Using Microsoft Excel

Whether you've just started working in Excel or you've been using it forever, chances are you've heard about data visualization and understand how important is. More than that, you've probably made a few charts you were proud of.

I was there, too. I could make any basic Excel chart my boss asked for. But I knew my charts - and many of those that I saw presented - did a poor job communicating data. Looking back, I think I was being asked to make charts just so we would have more to present.

Sound familiar? I've been where you are.

So I wanted to create a data visualization course for the business analysts who work with a lot of data and use Microsoft Excel regularly within their workflows. Chances are - you can already create a bar chart, a pie chart, and more. If that's you, read on.

Because I think a course for people like us has been missing. So I decided to distill everything I knew into a course that shows:

  • The important research behind which charts show the best information.

    That way you're always communicating the best results. And when your boss challenges you, you can point to the research. (Just point him or her to the module on why Pie Charts are the worst!)

  • How to create advanced charts not included in Excel.

    Most business problems can't be captured in Excel's native chart library. Do you know how to create Bullet Charts? Charts with multiple banding? This course will show you how.

  • How to create charts for analysis and how to create charts to tell a story.

    In this course, we'll talk about the difference between data graphics and info graphics. The former is for investigation, the latter for narration. You won't find this content elsewhere - I know, because I came up with it organically while working as a management consultant.

  • How to layout your charts and info graphics when you deliver them to executives.

    I'll introduce you to the camera tool, one of Excel's most powerful features. You'll see how it will allow you to drag-and-drop a chart, much like in Power BI.

  • Labs and Quizzes

    It's not enough to learn this information. You need to apply. I have created labs and quizzes based on the content. Take the quizzes to reinforce your knowledge. Complete the labs and then use them immediately in your own work.

  • No VBA or Macros

    I love VBA and Macros too but they're way over deployed. In many cases, the advanced chart you're thinking of making doesn't need lines and lines of code. I'll show you how quickly.

Here's what you can look forward to in this course: 

  • Data visualization principles including closure, proximity, common group and preattentive attributes

  • Theory and practice for why data visualization is so important

  • Why 3d charts cause issues when communicating data

  • Problems pie charts present to the audience

  • How to create charts with graded banding in Excel

  • How to create Bullet Charts in Excel

  • How to create Progress Meter Charts in Excel

  • How to create Waffle Charts in Excel

  • Microsoft Excel's camera tool

  • Resources to help you continue your learning

Like you, I work in the trenches, hustling to solve every new data challenge that comes my way. I wanted to create a course for people like me to learn from. If you want to stand out in the crowd and take your Excel and data skills to a whole new level, then you're the person I created this course for.

See you there,

Jordan

Learn R for Business Analytics from Basics

Know basics of Business Analytics ?! Work-out those skills further on R-platform. Learn R for BA over a weekend !

Created by Analytics 17 - Data Science Experts

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Students: 19825, Price: Free

Students: 19825, Price:  Free

Newly Launched Course!

R is the new and fastest growing Business Analytics platform. R shall become (if it hasn't already become) one of the most used Business Analytics tool. It is giving strong competition to giants like SAS, SPSS and other erstwhile business analytics packages.

This course is designed specifically for someone who knows basics of Business Analytics and wants to learn implementation of those skills on R platform.

The course is designed considering the busy schedule of learners. It has power pack content for about 90 mins. If you practice along with learning (which is highly recommended) then you shall take about 1-2 days to complete the course.

You will learn how to perform all the analytical tasks required to develop a "Losses prediction model in R" from scratch. This means that you will be working on:

  • Downloading and Installing R in your machine
  • Getting familiar with R environment
  • Loading important packages in R
  • Start writing your first code in R
  • Import Data in R and perform exploration and transformation activities
  • Do plots in R to understand data distribution
  • Write your own macro functions
  • Run correlation and regression in R and analyse model results

By the end of the course you shall be confident and equipped with all the knowledge required to perform analytical activities in R.

If you want to learn Business Analytics or SAS language, then our other course "Business Analytics for Beginners: Using SAS" shall be the best fit for you.

Modern Data Visualization with Oracle Analytics Cloud

Augmented Analytics and Machine Learning based Data Visualization. Includes Business Use Cases, Exercises and Quizzes!

Created by Luis E. Rivas - Director of Product Management, Oracle Analytics Cloud

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Students: 19360, Price: Free

Students: 19360, Price:  Free

Data Visualization is new Analytics and, Augmented Analytics is new Data Visualization! In this course you will master your understanding of modern, aka Augmented, data visualization concepts through hands on training with Oracle Analytics Cloud. This course is designed to provide you with essentials of augmented data visualization. This is new business intelligence!

Are you a business analyst curious about what Oracle Analytics can do? Then this is the course for you. We’re assuming that you know the basics of using analytics in your business. So we designed this course for you to jump right in to a technical, hands-on product experience. Every section is packed with both video and screencast to show you each analytics capability, plus demo files and scripts to download, so you can try it yourself!

Since we can’t guess which use case you’re itching to try out, we’ve packed the course with different projects like sales analysis, school donation analysis, HR attrition analysis as well as advanced projects such as Machine Learning models for predictive Analysis. Curious about some other application for analytics? Try it with your own data too!

As a day-to-day analyst and data visualization user, you will find this course fun and informative, try it out with your own data set! We hope that you have great time learning this exciting new data visualization capabilities.

Analytically Yours,
Your Instructors

Data Scientist Certification Guide For Career Transition

A step-by-step guide by Analytics leaders with Fortune 100 experience. On completion, get a FREE 1-on-1 session with me.

Created by Piyanka Jain - Analytics Professional and Bestseller Author

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Students: 17952, Price: Free

Students: 17952, Price:  Free

Are you analytical in nature? Are you a problem solver? Does the “why” behind things intrigue you? Then analytics might be your true passion.This course will help you evaluate whether this career is right for you and if so, how you can transition into a Data Science career with ease, without making any mistakes. The course will also cover the top 10 Business questions you should be able to solve on the first day of your job.

This course also introduces you to a powerful data to decisions framework called "BADIR" which is the framework of choice for Fortune 100 companies for better impact.

In the end, you will get a no strings attached $250 free gift.

Note: This course is a precursor to our complete Career Transition paid program. If you like our approach to analytics career transition and how we have helped thousands of professionals become successful data scientist, we would welcome you to join our complete career transition program. The free gift is not attached to the paid course and you can use it any time you wish.

Become a Stronger and More Productive Business Analyst

Sharpening your business analysis skill set to produce high quality deliverables quickly and efficiently.

Created by Angelo Kalevela - Certified Business Analyst

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Students: 16451, Price: Free

Students: 16451, Price:  Free

A study done by IAG, has shown that only about half of major projects with average level business analysts succeed (56% to be exact). That number increases to 88% when skilled or above average business analysts are involved. Being average is not enough to get the job done anymore.

This course gives techniques and practice drills to help gain the most essential skills to quickly be an above average business analyst. Our goal isn't to develop every skill a business analyst should have; instead, I am to give you the most productive skills and the ability to use them in days instead of decades.

The purpose of this course is NOT to explain or walk you through all the different parts of what being a business analyst is. The purpose of this course is to give you skills that you can learn and use today that will make you a better business analyst tomorrow.

Note: When I say tomorrow, I do not mean next month or next year. I mean the day after today.

Augmented Data Visualization with Machine Learning

Automated Analytics from Oracle Analytics Cloud and Machine Learning with Data Visualizations! Hands-on with Quizzes!

Created by Subrata Dutta - EPM and Analytics Enthusiast

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Students: 14977, Price: Free

Students: 14977, Price:  Free

Data Visualization is new Analytics and, Augmented Analytics is new Data Visualization! In this course you will work on machine learning models for predictive analytics and advanced data flow features through hands on training with Oracle Analytics. This course is designed to provide you with many hands-on activities to learn building modern data visualization projects. This is new business intelligence!

Are you a business analyst curious about what Oracle Analytics can do? Then this is the course for you. We’re assuming that you know the basics of using analytics in your business. So we designed this course for you to jump right in to a technical, hands-on product experience. Every section is packed with both video and screencast to show you each analytics capability, plus demo files and scripts to download, so you can try it yourself!

Since we can’t guess which use case you’re itching to try out, we’ve packed the course with different projects like sales analysis, school donation analysis, HR attrition analysis as well as advanced projects such as Machine Learning models for Predictive Analysis. Curious about some other application for analytics? Try it with your own data too!

As a day-to-day analyst and data visualization user, you will find this course fun and informative, try it out with your own data set! We hope that you have great time learning this exciting new data visualization capabilities.

Analytically Yours,
Your Instructors

Business Analytics Complete Course

Learn Business Analytics with complete Hands on Exercises.

Created by Edcorner Learning - Edcredibly - Be Incredible

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Students: 14968, Price: $89.99

Students: 14968, Price:  Paid

Business Analytics is a systematic and methodical presentation of data of any organization which is driven out of statistical and numerical analysis. Business analytics is a method which is used by the majority of companies today in order to make decision making effective and efficient. Thus, Business analytics course is a course which helps the students to learn the need and use of business analytics.

Business Analytics serves as a systematic process which is a combination of data analytics and Business Intelligence on the basis of which companies rely on their process of management, I.e. Planning for future goals, controlling the combination of capital and manpower, organizing the process in an efficient way possible, coping up with future-oriented goals and making analysis on the basis of Business Analytics.

Business Analytics is a continuous process which involves collection, processing and analysing the business data and operations, and with the help of statistical models and ideologies, transforming the outcome into business insights. The insights lead to improve the efficiency of the organization to achieve its objectives and early adaption of prone to complications. So, Business Analytics is a systematic presentation of data through which the company achieve their goals and get first-mover advantage in the industry.

Business Analytics prepares students In developing their skills in making business strategies and formulating plans of how to conduct a systematic analysis of organization data and evaluating the best possible outcome that will lead to achieving organizational objectives. Business Analytics is a subset of Business intelligence and specifically focuses on implementing the identified goals into actions. Business intelligence is generally descriptive in nature which provides tools and methods to identify, categorize and analyse raw data and compares with past and current operations.

Introduction to Business Analytics

Develop essential data analytics skills to grow your business

Created by Santiago Tacoronte - Data-Driven Strategy | Innovation & Experimentation | Author

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Students: 11268, Price: $24.99

Students: 11268, Price:  Paid

This is a non-technical program, no coding background is required.

This course offers an introduction to big data analytics, statistics and data-driven decision making for all business professionals, including those with no prior analytics knowledge.

Analytical skills are essential in any business. There is a growing need for employees across all areas to know how to read, interpret, and present data in a way that can be understood across all functions and inform decision making. Analytics is listed in 2021 as one of the top 10 skills requested by employers and recruiters. Almost every company in the world now is using data to make better decisions.

This course presents an overview of the field of business and marketing analytics and data science for you to make informed business decisions.

It is an introduction to the different analytics methodologies and how are they used, and is not intended to prepare learners to perform analytics themselves but to gain knowledge of what analytics can do. If you are curious about the different analytics techniques and the possibilities that they offer this course is for you.

The course has a duration of around 4 hours and includes quizzes, assignments and a final test that you will need to pass to get the certificate.

Reproducible Analytical Pipelines (RAP) using R

Automating the production of statistical reports using DataOps principles.

Created by Matthew Gregory - Data Scientist

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Students: 8407, Price: Free

Students: 8407, Price:  Free

At the end of my course, students will be able to identify suitable Reproducible Analytical Pipelines (RAP) opportunities in their organisation. From their chosen report they will derive the minimal tidy data set required to produce all the figures, tables and statistics therein. They will confidently use basic git functionality for version control, providing an audit trail of their progress. They will collaborate on Github using a standard workflow relying on pull requests for peer review; ensuring quality assurance throughout the project. They will build an R package, providing a single corpus to enshrine and encapsulate the business knowledge. The package will have all the hallmarks of reproducibility and quality assurance through the students’ prudent application of Open Source software development tools and principles including: functional programming, unit testing, continuous integration and dependency management. The outcome will be a software package that facilitates an improved production time of the statistical report while improving the quality of the statistics. This will free up the student's time to do more interesting things.

DISCLAIMER: The views and opinions expressed in this course are those of the author and do not reflect the official policy or position of GDS or the UK Government. 

Introduction to Business Analytics 2021

How to Build a Profitable and Winning Company Using Business Analytics

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

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Students: 7665, Price: $99.99

Students: 7665, Price:  Paid

When can we say that a business is successful?

Which are the techniques corporations use to monitor their performance?

What makes for an effective analytics project?

If these questions sound interesting and you want to learn about business analytics, then you’ve come to the right place.

This course is an invaluable journey, in which we will layout the foundations of your superior business analytics skills. You will start developing abilities that are highly necessary in any type of business environment, but particularly so when working for a large blue-chip corporation -running a complex business.

In this course, you will learn how to:

- Define business expectations

- Distinguish between a long-range plan and an annual business plan

- Perform stakeholder mapping

- Understand what business intelligence is and why it is essential for every modern company

- Carry out end-to-end process mapping

- Become familiar with the main types of end-to-end processes in a corporation: Hire-to-Retire (H2R), Record-to-Report (R2R), Order-to-Cash (O2C), Source-to-Pay (S2P)

- Identify key value drivers

- What are metrics and what distinguished metrics and KPIs

- Perform internal and external benchmarking

- Understand the importance of the Master data function

- Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis

- Determine which is the most appropriate type of analysis depending on the problem at hand

- Acquire an understanding of how to manage an analytics project

- Gain an understanding of what makes for a successful analytics project

All of this will be taught by an instructor with world-class experience. Randy Rosseel has worked in the Coca-Cola ecosystem for a bit more than 16 years. He has been a business controller, а senior manager of planning and consolidation, an associate director of planning and performance management; and, ultimately, a director of finance responsible for hundreds of employees.

Each of the topics in the course builds on the previous ones. And you risk getting lost along the way if you do not acquire these skills in the right order. For example, one would struggle to understand how to identify KPIs if they are not introduced to Stakeholder and end-to-end process mapping first.

So far, we have not seen other comparable training programs online. We believe that this is a unique opportunity to learn from a proven professional who has 360 degrees view of the analytics processes in one of the most recognizable companies in the world.

What you get

  • A well-prepared and structured business analytics training

  • Active Q&A support

  • Course notes

  • Hands-on exercises

  • Quiz questions

  • All the knowledge to apply analytics in a business context

  • A certificate of completion

  • Access to all future course updates

And we are happy to offer an unconditional 30-day money-back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.

Why wait? Every day is a missed opportunity.

Click the “Buy Now” button and become a part of our business analytics program today.

Statistics literacy for non-statisticians

Learn the key terms and analysis methods in statistics

Created by Mike X Cohen - Neuroscientist, writer, professor

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Students: 6858, Price: Free

Students: 6858, Price:  Free

In this short course, you will learn the meaning of key terms in statistics, such as p-value, ANOVA, variance, etc.

By the end of this course, you will feel more comfortable talking about and reading about commonly used statistical analysis methods.

Note that this course does not cover the math of the analyses, nor software to perform statistical analyses.

Data Science, Analytics & AI for Business & the Real World™

Use Data Science & Statistics To Solve Business Problems & Gain Insights Into Everyday Problems With 35+ Case Studies

Created by Rajeev D. Ratan - Data Scientist, Computer Vision Expert & Electrical Engineer

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Students: 2663, Price: $89.99

Students: 2663, Price:  Paid

Data Science, Analytics & AI for Business & the Real World™ 2020

This is a practical course, the course I wish I had when I first started learning Data Science.

It focuses on understanding all the basic theory and programming skills required as a Data Scientist, but the best part is that it features  35+ Practical Case Studies covering so many common business problems faced by Data Scientists in the real world.

Right now, even in spite of the Covid-19 economic contraction, traditional businesses are hiring Data Scientists in droves! 

And they expect new hires to have the ability to apply Data Science solutions to solve their problems. Data Scientists who can do this will prove to be one of the most valuable assets in business over the next few decades!

"Data Scientist has become the top job in the US for the last 4 years running!" according to Harvard Business Review & Glassdoor.

However, Data Science has a difficult learning curve - How does one even get started in this industry awash with mystique, confusion, impossible-looking mathematics, and code? Even if you get your feet wet, applying your newfound Data Science knowledge to a real-world problem is even more confusing.

This course seeks to fill all those gaps in knowledge that scare off beginners and simultaneously apply your knowledge of Data Science and Deep Learning to real-world business problems.

This course has a comprehensive syllabus that tackles all the major components of Data Science knowledge. 

Our Complete 2020 Data Science Learning path includes:

  1. Using Data Science to Solve Common Business Problems

  2. The Modern Tools of a Data Scientist - Python, Pandas, Scikit-learn, NumPy, Keras, prophet, statsmod, scipy and more!

  3. Statistics for Data Science in Detail - Sampling, Distributions, Normal Distribution, Descriptive Statistics, Correlation and Covariance, Probability Significance Testing, and Hypothesis Testing.

  4. Visualization Theory for Data Science and Analytics using Seaborn, Matplotlib & Plotly (Manipulate Data and Create Information Captivating Visualizations and Plots).

  5. Dashboard Design using Google Data Studio

  6. Machine Learning Theory - Linear Regressions, Logistic Regressions, Decision Trees, Random Forests, KNN, SVMs, Model Assessment, Outlier Detection, ROC & AUC and Regularization

  7. Deep Learning Theory and Tools - TensorFlow 2.0 and Keras (Neural Nets, CNNs, RNNs & LSTMs)

  8. Solving problems using Predictive Modeling, Classification, and Deep Learning

  9. Data Analysis and Statistical Case Studies - Solve and analyze real-world problems and datasets.

  10. Data Science in Marketing - Modeling Engagement Rates and perform A/B Testing

  11. Data Science in Retail - Customer Segmentation, Lifetime Value, and Customer/Product Analytics

  12. Unsupervised Learning - K-Means Clustering, PCA, t-SNE, Agglomerative Hierarchical, Mean Shift, DBSCAN and E-M GMM Clustering

  13. Recommendation Systems - Collaborative Filtering and Content-based filtering + Learn to use LiteFM  + Deep Learning Recommendation Systems

  14. Natural Language Processing - Bag of Words, Lemmatizing/Stemming, TF-IDF Vectorizer, and Word2Vec

  15. Big Data with PySpark - Challenges in Big Data, Hadoop, MapReduce, Spark, PySpark, RDD, Transformations, Actions, Lineage Graphs & Jobs, Data Cleaning and Manipulation, Machine Learning in PySpark (MLLib)

  16. Deployment to the Cloud using Heroku to build a Machine Learning API

Our fun and engaging Case Studies include:

Sixteen (16) Statistical and Data Analysis Case Studies:

  1. Predicting the US 2020 Election using multiple Polling Datasets

  2. Predicting Diabetes Cases from Health Data

  3. Market Basket Analysis using the Apriori Algorithm

  4. Predicting the Football/Soccer World Cup

  5. Covid Analysis and Creating Amazing Flourish Visualisations (Barchart Race)

  6. Analyzing Olympic Data

  7. Is Home Advantage Real in Soccer or Basketball?

  8. IPL Cricket Data Analysis

  9. Streaming Services (Netflix, Hulu, Disney Plus and Amazon Prime) - Movie Analysis

  10. Pizza Restaurant Analysis - Most Popular Pizzas across the US

  11. Micro Brewery and Pub Analysis

  12. Supply Chain Analysis

  13. Indian Election Analysis

  14. Africa Economic Crisis Analysis

Six (6) Predictive Modeling & Classifiers Case Studies:

  1. Figuring Out Which Employees May Quit (Retention Analysis)

  2. Figuring Out Which Customers May Leave (Churn Analysis)

  3. Who do we target for Donations?

  4. Predicting Insurance Premiums

  5. Predicting Airbnb Prices

  6. Detecting Credit Card Fraud

Four (4) Data Science in Marketing Case Studies:

  1. Analyzing Conversion Rates of Marketing Campaigns

  2. Predicting Engagement - What drives ad performance?

  3. A/B Testing (Optimizing Ads)

  4. Who are Your Best Customers? & Customer Lifetime Values (CLV)

Four (4) Retail Data Science Case Studies:

  1. Product Analytics (Exploratory Data Analysis Techniques

  2. Clustering Customer Data from Travel Agency

  3. Product Recommendation Systems - Ecommerce Store Items

  4. Movie Recommendation System using LiteFM

Two (2) Time-Series Forecasting Case Studies:

  1. Sales Forecasting for a Store

  2. Stock Trading using Re-Enforcement Learning

  3. Brent Oil Price Forecasting

Three (3) Natural Langauge Processing (NLP) Case Studies:

  1. Summarizing Reviews

  2. Detecting Sentiment in text

  3. Spam Detection

One (1) PySpark Big  Data Case Studies:

  1. News Headline Classification

One (1) Deployment Project:

  1. Deploying your Machine Learning Model to the Cloud using Flask & Heroku

Microsoft Excel Business Data Analytics

Learn Business Data Analytics Using Microsoft Excel including Pivot Tables, Vlookups and much more

Created by Sean J. Thompson - Analyst

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Students: 2342, Price: $94.99

Students: 2342, Price:  Paid

The goal of the course is to build you into an Business Data Analyst from the ground up. We do this by giving you the necessary training through hands-on practical exercises. The Data Analyst Training Course will prepare you for real-world data analysis and analytics and put you a step ahead.

Whether you are starting out, or well into your career and looking for a change, this course is for you. This course is for those who are hungry to learn and enhance their value. Regardless of your background, your level of education or the industry you currently work – this course is for you.

Tableau for Business Analytics and Marketing

Visualize marketing data with Tableau. Take your business to the next level with data driven decisions.

Created by John David Ariansen - Experienced Tableau Consultant and Analytics Educator

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Students: 2013, Price: $109.99

Students: 2013, Price:  Paid

Do you have the desire to analyze marketing data?

Visualizing marketing data through Tableau can be a game changer. It can be the skill to take your career to the next level.

In this course you will learn:

  • What KPIs are important in the marketing space

  • How to visualize these KPIs

  • How to create a demographic dashboard

  • How analyze email marketing data

  • How to quantify the impact of an ad campaign

Use Tableau to Analyze Marketing Data

The three case studies in the course are:

  1. Data Informed Buyer Persona

  2. Email Marketing Analysis

  3. Promotion Impact Analysis

In these three case studies we will build out data visualizations that will uncover the key trends that matter.

Content and Overview

In this course we will delve into how Tableau can be applied to marketing data. There are vast amounts of data sources in the marketing space and being able to combine these data sources will give you a leg up on your competition.

The case studies will provide you with a real world business setting to learn about Tableau and how data visualization can be a potent tool for unlocking useful insights. I feel that it is important for me not to only explain the theory but also create an environment for my students to apply the theories they are learning.

By the time you finish this course, you will have the ability to study marketing data and uncover interesting trends. Uncovering these trends are the first step towards creating a “Data Informed” marketing team. The next step is to apply the insights gleaned from these trends to build better marketing campaigns.

What You Will Learn

-How to leverage Tableau to solve real world problems

-Build a data driven buyer persona using Tableau

-Analyze Email Marketing data with Tableau

-Quantify the Impact of a Marketing Campaign with Tableau

Google Analytics Beginner to Advanced | Setup + Audit

Learn to set up Google Analytics, audit your settings and create reports to find your product & business opportunities

Created by Ruben Portz - Creator of ZebraFarm and Head of Growth at Seneca Learning

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Students: 1870, Price: Free

Students: 1870, Price:  Free

This course is designed to take you to the next level no matter whether you're a beginner or power user of Google Analytics.

This course will guide you through:
- Installing the old Universal Analytics & new Google Analytics 4
- Creating a professional structure of views
- Auditing your admin settings like a pro (e.g. filters, segments, alerts, dimensions, metrics, linkage, etc.)
- Setting up goals and events to track any click or move your users make (in case you wish to do so)
- Discussing business models and funnels
- Building scheduled reports to monitor product performance

The goal of the course:
1. Understand 99% of Google Analytics's functionality
2. Impress your business partners, clients and/or shareholders with new reports and insights
3. Find a scala of product opportunities to start working on