What you would learn in A/B Testing in Python course?
A/B tests are a method that assists companies in making solid choices based on data.
This is one of the fundamental skills you need to land a data scientist or data analyst job.
Do you wish to be a data scientist or analyst of data?
If so, then this is the ideal program to take!
Your teacher Anastasia has been a data scientist in senior positions at a music streaming company based in Stockholm. Startup. She holds two Master's qualifications focusing on Business Intelligence and Computer Science and has gone from a student to a senior position within three years. Anastasia has conducted many A/B testing for large tech companies with hundreds of millions of monthly users.
Through this course, you will be able to:
"Defining an A/B Test
* Begin an A/B test
• Analyze your results from A/B testing for yourself
Throughout your learning journey, Anastasia will guide you through the A/B testing process for a fictional organization with an online product. The case study is presented throughout the entire course. It covers everything from the beginning of the testing process right up to the final stage, with some additional factors to consider. Furthermore, Anastasia takes some time to provide you with her suggestions on preparing yourself for the A/B test for a Data scientist or even a data analyst job.
One of the main points that distinguish it from the statistical textbooks and theoretical courses is that the A/B Tests in Python course is designed to show you how to create A/B tests to test digital products used by hundreds of millions of customers. This is the only comprehensive study of the A/B test process from a commercial, technical, technical, and analysis standpoint.
The excellent training for those who are:
A data science student who is looking to master one of the essential abilities required for a job
Data scientists who are junior and have no experience in A/B testing
Software developers and managers who wish to understand how to run A/B tests within their business to enhance the product they are creating
You'll learn a valuable ability that could make a difference to a company's business (and your job as well).
How can you use A/B tests for business to improve performance
Define A/B tests
Tests to start A/B
Examine the results of the A/B tests.
Assess the efficacy of A/B tests
How do you define a hypothesis?
Tracking the design of the metrics
How do you prepare for the data science interview (when you are asked about the A/B test)
How can you design A/B test designs for digital products
Extraordinary considerations to consider when you run several A/B tests simultaneously
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