BEST BOOKS FOR DATA SCIENCE

Many of you must be having questions in your mind about the best books to learn Data Science. Here is a list of books extremely useful for data science from various subject areas such as Mathematics and Statistics, Programming, Python, Machine Learning, etc. These books are extremely useful if someone is learning Data Science from scratch or even if someone is working as Data Scientist for a few years. Books according to the subject area are listed below(affiliate link): Data Science Book Recommendation

Must Read for every Data Scientist:

The Elements of Statistical Learning by Trevor Hastie — https://amzn.to/37wMo9H

Python Data Science Handbook — https://amzn.to/31UCScm

Business Statistics By Ken Black — https://amzn.to/2LObAA5

Hands-On Machine Learning with Scikit Learn, Keras, and TensorFlow by Aurelien Geron — https://amzn.to/3gV8sO9

DATA SCIENCE OVERALL: 

The Art of Data Science By Roger D. Peng — https://amzn.to/2KD75aD

Predictive Analytics By By Eric Siegel — https://amzn.to/3nsQftV

Data Science for Business By Foster Provost — https://amzn.to/3ajN8QZ

MATHEMATICS AND STATISTICS:

Naked Statistics By Charles Wheelan — https://amzn.to/3gXLdmp

Practical Statistics for Data Scientist By Peter Bruce — https://amzn.to/37wL9Y5

MACHINE LEARNING:

Introduction to machine learning by Andreas C Muller — https://amzn.to/3oZ3X7T

The Hundred Page Machine Learning Book by Andriy Burkov — https://amzn.to/3pdqCxJ

PROGRAMMING:

The Pragmatic Programmer by David Thomas — https://amzn.to/2WqWXVj

Clean Code by Robert C. Martin — https://amzn.to/3oYOdlt#unfolddatascience

Thanks a lot for reading. Happy Learning!! You can Subscribe to my YouTube Channel “Unfold Data Science” here

Mon Mar 13, 2023