Description
A/B Testing in Python course. 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 get a job as a data scientist or data analyst. Do you want to become a data scientist or data analyst? Then this is the perfect course for you! Your mentor Anastasia is a senior data scientist working at a music streaming startup based in Stockholm. He has two master’s degrees in business intelligence and computer science and recently advanced to a master’s within three years of graduating. Anastasia has performed extensive A/B testing for large tech companies with hundreds of millions of monthly users. By taking this course, you will learn:
· Define A/B tests
· Start A/B testing
· Analyze the results of an A/B test yourself
During the learning journey, Anastasia will walk you through an A/B testing process for a fictitious company with a digital product. This case study spans the entire course and covers everything from the beginning of the A/B testing process to the end, including some advanced considerations. In addition, Anastasia takes some time to share her advice on how to prepare for A/B testing interview questions for a data scientist or data analyst job. One of the strengths that sets it apart from statistical textbooks and theoretical tutorials is that in the A/B Testing in Python course, you will learn how to design A/B tests for digital products that have millions or hundreds of millions of users. , This is a rare overview of the A/B testing process from a business, technical, and data analytics perspective. This course is perfect for you if:
– A data science student who wants to learn one of the fundamental skills required for the job
– Junior data scientist with no A/B testing experience
– Software developers and product managers who want to learn how to conduct A/B testing in their company to improve the product they are developing.
You’ll learn a valuable skill that can change a company’s business (and your career along the way).
What you will learn in the A/B Testing in Python course
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How to use A/B testing to improve business performance
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Analyze the results of A/B tests
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Measure the success of A/B tests
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How do you define a hypothesis?
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Design tracking for benchmarks
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How to Prepare for a Data Science Interview (When Asked About A/B Testing)
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How to design A/B tests for digital products
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Advanced considerations when running multiple A/B tests simultaneously
This course is suitable for people who
- Young data scientists with no A/B testing experience
- Data science students without professional experience
- Software developer
- product manager
Details about A/B Testing in Python course
- Editor: Udemy
- Teacher: 365 Careers , Anastasia K
- Training level: beginner to advanced
- Training duration: 2 hours and 57 minutes
- Number of courses: 27
Course headings
Course Prerequisites for A/B Testing in Python
- No experience with A/B testing is required
- Knowledge of basic statistics
- You do not need advanced statistical knowledge
- No programming knowledge is required (but we will use Python for some examples)
Course pictures
Sample video of the course
installation Guide
After extracting, you can watch it with your favorite player.
English subtitles
Quality: 720p
Download link
free download software
Size
3.3GB