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LifestyleA/B Testing in Python (Udemy.com)
Learn How To Define, Start, And Analyze The Results Of An A/B Test. Improve Business Performance Through A/B Testing
Created by: 365 Careers
Last updated April 2022
What you will 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
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.5 out of 5higher than 46% of them
- Reviews668#197 of 462 by number of reviews
- Length3 hoursshorter than 82% of them
- Last updatedApril 2022earlier than 86% of them
Course 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!
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Instructor Details
- 4.5 Rating
668 Reviews
365 Careers
365 Careers is the #1 best-selling provider of business, finance, data science and AI courses on Udemy. The company’s courses have been taken by more than 4,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.
Currently, 365 focuses on the following topics on Udemy: 1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA
2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics, Data literacy, Product Management, Pandas, Numpy, Python Programming, Data Strategy
3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing
4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook
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Reviews
By Benjamín Andrés Vásquez Moya on 6/22/2025
Very clear, fluent and linear explanation. It teaches the content as mentioned and with good timing. Thank you, now I'm enabled to study more deeply in the matter. It would be great to include a presentation template for the results, besides that clear as water.
By Aino Lange on 8/21/2023
Clear and concise explanations. Especially enjoyed the interview preparation questions section which isn't just about prepping for interviews but discusses additional considerations relating to A/B testing.
By Alireza on 7/26/2023
She explains the concepts very well. I wish she would go through more examples (and specifically, provide detailed, different examples for the stats part).
By Gideon Ovuzorie on 4/30/2023
This is my second review. I initially felt disappointed with the course material, but I had to re-watch and rewind the videos over and over again until I got the concept. I must say, this has been the most comprehensive A/B tutorial I've seen
By Zoltán Török on 2/5/2023
This was exactly what I've been looking for regarding A/B testing. Not loosing itself in the depths of mathematic, keeps the logic simple and understandable.
By Daniel Freed on 10/20/2022
A good overview to get an idea what A/B testing is but not what I was expecting. With a title as 'A/B Testing in Python' I was expecting more practical and hands-on work in Python, this course is more theoretical - what to think about and how to interpret the result. More of a 'Prepare for an interview" run through.
By Anh Ngo on 7/2/2022
I was so confused about A/B testing because of my lack of statistics knowledge. This is the second course I purchased about A/B testing and it was worth every single second I learned it. Before starting this course, I would recommend learning the basics of T-test, normal distribution, and central limit theorem to make sure you can follow along the course. Knowing how to use Pandas and Jupyter Notebook would be a bonus!
By Nicholas Rios on 6/13/2022
Many answers involved concepts that are barely explained, at least the course should contain some extra reading/hyperlink in order to go deeper if the student wants to. A lot of concepts and considerations to perform a good A/B testings are not being explained. I appreciate the Python codes to have an idea of how to perform the tests though.
By Lera on 5/26/2022
Exceptionally valuable source of information for beginners in A/B Testing or an excellent refresher for the familiar ones. Thank's a lot!
By Mariano Viola on 4/29/2022
The instructor's explanations are clear and concise. Her thoughts are well organized. She speaks clearly and the pace of the course is just fine.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 90 / 100
- Video Duration:
3h - Price: $49.99
- Provider: Udemy
- Updated:
April 2022 - Level:
All Levels - Language:
English - Certificate:
Yes
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