Looking for FREE Data Science books? Then you're in the right place.
Every month we feature 3 of the best free books on a variety of Data Science topics, from programming in R and Python to Statistics, Machine Learning and lots more.
These free books might be time limited (or not), and you'll find them in a variety of formats, from both top-tier publishers and self-published authors.
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This month we highlight these 3 books:
They're all FREE, so help yourselves...
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You can find further details in our TCs
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The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics.
This book covers R software development for building data science tools. This book provides rigorous training in the R language and covers modern software development practices for building tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. (Printed copies coming soon!)
David Cherney, Tom Denton, Rohit Thomas and Andrew Waldron
Introduction to computer science using the Python programming language. It covers the basics of computer programming in the first part while later chapters cover basic algorithms and data structures.
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