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.
The book is meant as a guide to making visualizations that accurately reflect the data, tell a story, and look professional.
This book is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python.
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.
An open source, open collaboration, community-driven handbook to reproducible, ethical and collaborative data science.