Statistics has played a key role in scientific understanding of the world for centuries, and in the era of big data, a basic grasp of this discipline and statistical literacy become critically important. David Spiegelhalter invites you on a fascinating, technically unburdened introduction to the theory and practice of statistics.

Data Science. Insider Information for Beginners. Including the R Language

Кэти О’Нил, Рэйчел Шатт

Shipunov A.B., Baldin E.M., Volkova P.A., et al. Visual Statistics

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Тревор Хасти, Роберт Тибширани, Джером Фридман

Visual Statistics. Using R!

А. Б. Шипунов, Е. М. Балдин, П. А. Волкова, А. И. Коробейников, С. А. Назарова, С. В. Петров, В. Г. Суфиянов

Core Mathematics for Data Science

Томас Нильд

Practical Statistics for Data Science Professionals: 50+ Essential Concepts Using R and Python

Питер Брюс, Эндрю Брюс, Питер Гедек

Data Science: A Learning Course

Стивен С. Скиена

Statistics Without Tricks: Methods for Critical Data Analysis and Causal Inference

Итан Буэно де Мескита, Энтони Фаулер

Introduction to Statistical Learning with Python Examples

Гарет Джеймс, Даниела Уиттен, Тревор Хасти, Роберт Тибширани, Джонатан Тейлор

Theoretical Minimum on Big Data. Everything You Need to Know About Big Data

Ын Анналин, Су Кеннет