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 basic skills you need to get a job as a data scientist or data analyst. Do you want to be a data scientist or a data analyst? If you do, 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 holds two Master’s degrees in Business Intelligence and Computer Science, and has recently risen to the position of Master within 3 years of graduation. Anastasia has done a significant amount of A/B testing for large tech companies with hundreds of millions of monthly users. By participating in this course, you will learn how to:
· Define A/B testing
· Start A/B testing
· Analyze the results of an A/B test on your own
During the learning journey, Anastasia guides you through an A/B testing process for a fictional company with a digital product. This case study unfolds throughout the course, touching on everything from the very beginning of the A/B testing process to the end, including some advanced considerations. Additionally, Anastasia takes some time to share her advice on how to prepare for A/B test interview questions for a data scientist or data analyst position. One of the strong points of differentiation from statistical textbooks and theoretical tutorials is that the A/B Testing in Python course teaches you 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 analysis perspective. This course is perfect for you if:
– A data science student who wants to learn one of the basic skills needed on the job
– Junior data scientists with no A/B testing experience
– Software developers and product managers who want to learn how to run A/B tests in their company to improve the product they build.
You’ll learn a valuable skill that can transform 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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Define A/B testing
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Start A/B testing
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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 to define a hypothesis
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Design tracking for benchmarks
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How to Prepare for a Data Science Interview (When You’re Asked About A/B Testing)
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How to design A/B testing 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 work experience
- Software developers
- Product managers
Details of A/B Testing in Python course
- Publisher: Udemy
- teacher: 365 Careers, Anastasia K
- Training level: beginner to advanced
- Training duration: 2 hours and 57 minutes
- Number of courses: 27
Course headings
A/B Testing in Python course prerequisites
- No experience in A/B testing is required
- Knowledge of basic statistics
- You do not need advanced statistical knowledge
- Programming abilities are not required (but for some examples we will use Python)
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.3 GB
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