Data Science Essentials Crash Course in A, B Testing with Case Study

In this applied Data Science Crash Course, we cover everything you need to know about A, B testing, from the concepts to the practical details they can apply in business. The course merges indepth statistical analysis (think hypothesis testing, significance levels, and the nittygritty of pooled estimates, test statistics, pvalues, and assessing statistical significance) with the kind of data science theories big tech firms rely on, all alongside practical Python tutorials for realworld test implementation. Plus, there s a reallife case study thrown in to help you understand the concepts more. Course created by Tatev Karen Aslanyan. More from Tatev here: Contents (0:00:00) Video Introduction (0:03:49) Introduction to Data Science and A, B Testing . .., freeCodeCamp 20240416 KZe0C0Qq4p0