A comprehensive guide to designing and executing reliable online controlled experiments (A/B tests), blending theory with practical insights from industry leaders and academic research for data-driven decision making.
Explore categorical data analysis through clear theory, practical examples, and statistical software guidance, making complex concepts accessible for students and researchers alike.
Learn the fundamentals of data science with Python and gain the skills to apply them in real-world scenarios. Data Science from Scratch provides a comprehensive introduction to essential concepts and techniques.