Wish you all a very happy and prosperous new year 2021.
Many of you must be having question in your mind about best books to learn Data Science.
Here is the 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 few years.
Books according to 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
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
The Pragmatic Programmer by David Thomas — https://amzn.to/2WqWXVj
Clean Code by Robert C. Martin — https://amzn.to/3oYOdlt
Thanks a lot for reading. Happy Learning!!
You can Subscribe to my YouTube Channel “Unfold Data Science” here
You can Join Facebook group “Unfold Data Science” here