Data Science Essentials – Crash Course in A/B Testing with Case Study
UDAO
About this course
This crash course offers an in-depth exploration of A/B testing, covering both theoretical concepts and practical implementation. You will learn how to effectively design A/B tests, conduct power analysis, and interpret results using Python, complemented by real-world case studies. Ideal for data scientists, product managers, and analysts looking to enhance their decision-making skills through data-driven methodologies.
What you should already know
A basic understanding of statistics is recommended to grasp the concepts covered in this course.
What you will learn
By the end of the course, learners will be able to design and analyze A/B tests effectively, ensuring they can apply these skills in real-world business scenarios.