Broad coverage of probability and statistics fundamentals enables foundational understanding
Introduces advanced techniques like generalized linear models and classification algorithms for practical application
Minimal formulae and accessible explanations make the content approachable for beginners
Software-agnostic methods allow use with any statistical software or major package
Practical first-course format supports undergraduate degrees and new data science entry points
Summarized by Shop
Data analysis has been a hot topic for a number of years, and many future data scientists have backgrounds that are relatively light in mathematics. This slim volume provides a very approachable guide to the techniques of the subject, designed with such people in mind. Formulae are kept to a minimum, but the book's scope is broad, introdu