Philomath (φιλομαθής) — from Greek philos (beloved) + manthanein (to learn)
A lover of learning and studying
The Philomath is a space dedicated to rigorous thinking and accessible education. Here, we explore data analytics, statistics, and probability through a conversational lens designed for critical thinkers.
A comprehensive textbook on statistics, probability, and econometrics. Written in a conversational, question-and-answer format, this book makes complex analytical concepts accessible to beginners and seasoned practitioners alike.
Authors: Gautam Sethi & Noor Sethi
Topics: Bayesian inference, frequentist research, regression analysis, hypothesis testing, and advanced modeling
Gautam Sethi and Noor Sethi are educators and practitioners passionate about making data analytics accessible. Their work emphasizes clear thinking, rigorous methods, and practical application.
For inquiries, collaboration, or feedback:
📧 contact@thephilomath.org