Mastering A/B Testing and Experimentation in Data Science is a comprehensive guide that equips readers with the knowledge and skills to design, execute, and analyze A/B tests effectively. It covers the fundamental principles of hypothesis testing, statistical significance, and practical strategies for conducting experiments. With real-world examples and practical tips, this book helps data scientists and analysts understand how to optimize experiments for reliable results, interpret findings accurately, and make data-driven decisions that drive business success.