Udemy

A/B Testing in Python

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  • 3,496 Students
  • Updated 4/2022
4.1
(603 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 57 Minute(s)
Language
English
Taught by
365 Careers, Anastasia K
Rating
4.1
(603 Ratings)
2 views

Course Overview

A/B Testing in Python

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 the A/B Testing in Python course 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).

So, what are you waiting for?

Click the ‘Buy now’ button and let’s begin this journey today!

Course Content

  • 6 section(s)
  • 27 lecture(s)
  • Section 1 Introduction: Welcome to the course on A/B testing
  • Section 2 Defining KPIs and metrics. Practical example: Kittengram
  • Section 3 Setting up and executing A/B tests in practice
  • Section 4 Advanced considerations
  • Section 5 Advanced questions for interview preparation
  • Section 6 Conclusion

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


Reviews

  • L
    LEONARDO MATTES
    2.5

    Nothing is explained in depth,

  • R
    Ramya Palanisamy
    5.0

    It is a way good than I expected.

  • a
    ashmit ~
    2.5

    Nothing is explained in depth, it's just reading the slides and moving on to the next topic. I could barely understand anything starting lecture 12

  • R
    Roman Dutkevych
    3.0

    There could be more practical tasks

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