This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it and visualize.

This book explains the ideas that underlie deep learning, distinguishing it from volumes that cover coding and other practical aspects.

This book is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python.

An open source, open collaboration, community-driven handbook to reproducible, ethical and collaborative data science.

This textbook is provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to be able to use them sensibly.