Books to Learn Data Science 🙌

Books I’ve enjoyed using in my data science journey

Sam Parmar
3 min readFeb 14, 2021

This is a growing list of the best books that I’ve enjoyed using in my data science journey. It’s intended to provide readers a path to potentially learn more about data science. As you can guess, I’ve used some books for reference purposes or have not yet read some cover to cover. They are useful for me to (re)visit in special situations I encounter.

Books are included only if I feel I’ve gained some useful insight or value from reading even a part of the book. Most of these books are easily available online in PDF or ePUB formats, with some even being available in MOBI (for Kindle). Consider supporting the authors by purchasing their books (digital or print).

Statistics

Statistics in a Nutshell: A Desktop Quick Reference

Practical Statistics for Data Scientists: 50 Essential Concepts

Probability and Statistics for Computer Science

Seeing Theory

Linear Algebra

Coding the Matrix: Linear Algebra Through Applications to Computer Science

No Bullshit Guide to Linear Algebra

Immersive Linear Algebra

Machine Learning

Applied Machine Learning

Programming with R

R for Data Science

R Markdown: The Definitive Guide

Mastering Shiny

Practical Data Science with R

Advanced R

Programming with Python

Python Programming: An Introduction to Computer Science

Learn Python the Hard Way

Automate the Boring Stuff with Python

Doing Math with Python

Algorithms

Grokking Algorithms

Data Visualization

How Charts Lie: Getting Smarter about Visual Information

Python and R

Another Book on Data Science

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Sam Parmar
Sam Parmar

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