Explore the fundamentals of online experimentation and A/B testing in this comprehensive 2-hour lecture from Data Science Dojo's bootcamp. Delve into best practices for designing and evaluating A/B and multi-variate tests, learn to choose appropriate metrics, detect and avoid errors, and properly interpret test results. Cover topics including the Obama campaign's use of A/B testing, applications in email marketing and online forms, the differences between A/B and multivariate testing, control and treatment groups, hypothesis formulation, confidence intervals, and A/A testing. Gain insights into practical tools and participate in a Q&A session to enhance your understanding of this crucial data science technique.