Practical and Modern A/B Test Course – Methods for Data Scientists

A/B Test methodology is widely used in commercial Web Pages, Applications, UI Design and scientific experiments. Optimizing the process and answering business-oriented questions can improve the performance of many goal oriented tasks.

A/B Test Course

This course is about learning the concept of A/B Test.

The course will use Jupyter Notebooks with Python / Julia code within the class in real time.

How do you perform an AB test in data science?

Through instructor-led discussion and interactive, hands-on exercises, participants will understand concept of A/B Test and learn topics such as:

• To introduce the 2 main approaches for A/B Test.
• The multi variants test (A/B/C).
• The Explore vs. Exploit dilemma and few policies to handle it.
• Real world tricks for efficient and reliable tests.

The course will use Jupyter Notebooks with Python / Julia code within the class in real time.