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 in Python
A/B Testing in Python

A/B Testing in Python udemy course

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

What you'll learn:

Bayesian Machine Learning in Python: A/B Testing

  • Use adaptive algorithms to improve A/B testing performance
  • Understand the difference between Bayesian and frequentist statistics
  • Apply Bayesian methods to A/B testing

Requirements:

  • Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)
  • Python coding with the Numpy stack

Description:

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!

Who this course is for:

Course Details:

  • 3 hours on-demand video
  • 1 downloadable resource
  • Access on mobile and TV
  • Certificate of completion

A/B Testing in Python udemy free download

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

Demo Link: https://www.udemy.com/course/ab-testing-in-python/