English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 27 lectures (2h 57m) | 2.96 GB

Learn How To Define, Start, And Analyze The Results Of An A/B Test. Improve Business Performance Through A/B Testing

A/B testing is a tool that helps companies make reliable decisions based on data.

This is one of the fundamental skills you need to land a job as a data scientist or data analyst.

Do you want to become a data scientist or a data analyst?

If you do, this is the perfect course for you!

Your instructor Anastasia is a senior data scientist working at a Stockholm-based music streaming startup. She has earned two Master’s degrees in Business Intelligence and Computer Science, and grown from a recent graduate to a Senior role in just 3 years. Anastasia has performed a significant number of A/B tests for large tech companies with hundreds of millions monthly users.

By taking this course, you will learn how to:

- Define an A/B test
- Start an A/B test
- Analyse the results of an A/B test on your own

Along your learning journey Anastasia will walk you through an A/B testing process for a fictional company with a digital product. This case study unfolds throughout the course and touches on everything from the very beginning of the A/B testing process to the very end including some advanced considerations. Moreover, Anastasia takes some time to share with you her advice on how to prepare for the questions on the A/B test interview for a data scientist or data analyst position.

One strong point of differentiation from statistical textbooks and theoretical trainings is that these learning materials will teach you how to design A/B tests for digital products that have millions or hundreds of millions of users. It is a rare overview of the A/B testing process from a business, technical, and data analysis perspective.

This is the perfect course for you if you are:

– a data science student who wants to learn one of the fundamental skills needed on the job

– junior data scientists with no experience with A/B testing

– software developers and product managers who want to learn how to run A/B tests in their company to improve the product they are building

You will learn an invaluable skill that can transform a company’s business (and your career along the way).

What you’ll learn

- How to use A/B tests to improve business performance
- Define A/B tests
- Start A/B tests
- Analyze the results of A/B tests
- Measure the success of A/B tests
- How to define a hypothesis
- Design tracking for the metrics
- How to prepare for a data science interview (when you get asked about A/B tests)
- How to design A/B tests for digital products
- Advanced considerations when you run multiple A/B tests at the same time

## Table of Contents

**Introduction Welcome to the course on AB testing**

1 Welcome to the course!

2 What does the course cover and what is AB testing

3 What are the key characteristics of an AB test

4 How AB tests are created Who takes part

**Defining KPIs and metrics. Practical example Kittengram**

5 How to measure success

6 Calculation of metrics for Kittengram – Practical example

**Setting up and executing AB tests in practice**

7 Data instrumentation and tracking

8 Calculating metrics

9 Designing the experiment

10 Set up the AB test

11 Statistical significance

12 Calculate the sample size of an AB test

13 Example of significance power calculator

14 AB test – start & analysis

15 Presenting results

16 AB test analysis process

17 Compare the activity between the groups

**Advanced considerations**

18 Advanced AB testing considerations

19 Important ethical considerations Privacy

**Advanced questions for interview preparation**

20 Introduction

21 Question 1

22 Question 2

23 Question 3

24 Question 4

25 Question 5

26 How to prepare for the interview

**Conclusion**

27 Final recommendations

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