What are some of the best books on data science?

Learning Resources
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I want to know which books on data science, computer science, or programming you found the most interesting. Please share any recommendations!

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With no doubt Introduction to statistical learning

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Here is a link to the PDF for Introduction to Statistical Learning. Also, see Elements of Statistical Learning (PDF), this book’s more complete sister! Both volumes are considered the Bibles of data science!

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A few notable books on computer science, programming, and data science are “Clean Code” by Robert C. Martin for better coding techniques, “The Data Science Handbook” edited by Field Cady for insights from top data scientists, and “Python Crash Course” by Eric Matthes for Python fundamentals. These provide insightful information and helpful advice.

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I believe “Data Analysis for Business, Economics, and Policy” will be a strong contender for all-in-one learning.
For reference, “Probabilistic Machine Learning: An Introduction” is a decent choice, however, it solely addresses the machine learning aspect of data science.

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Here are some of the best books on data science, categorized based on experience level:

For Beginners:

Data Science for Business by Foster Provost and Tom Fawcett This book is a great introduction to data science for those with no prior experience. It covers the basics of data collection, cleaning, analysis, and visualization.
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www.amazon.in
Data Science for Business by Foster Provost and Tom Fawcett

Naked Statistics: Stripping the Dread from the Data by Charles Wheelan This book is a fun and easy-to-read introduction to statistics, which is a foundational skill for data science.
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www.amazon.com
Naked Statistics: Stripping the Dread from the Data by Charles Wheelan

Python for Data Analysis by Wes McKinney This book is a great introduction to Python programming, which is a popular language used in data science. It covers the basics of data manipulation, analysis, and visualization with libraries like Pandas and NumPy.
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wesmckinney.com
Python for Data Analysis by Wes McKinney

For Intermediate Learners:

Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow by Aurélien Géron This book is a comprehensive guide to machine learning, which is a subfield of data science that allows computers to learn from data without being explicitly programmed. It covers popular machine learning algorithms and techniques using Python libraries like scikit-learn, Keras, and TensorFlow.
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www.amazon.com
HandsOn Machine Learning with ScikitLearn, Keras & TensorFlow by Aurélien Géron

Data Science and Big Data Analytics by EMC Education Services This book covers the concepts of big data, which is the term used for very large and complex datasets that traditional data processing techniques cannot handle. It also covers the tools and techniques used to analyze big data.
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www.amazon.in
Data Science and Big Data Analytics by EMC Education Services

R for Data Science by Hadley Wickham and Garrett Grolemund This book is a great introduction to R programming, which is another popular language used in data science. It covers the basics of data manipulation, analysis, and visualization with libraries like ggplot2.
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r4ds.had.co.nz
R for Data Science by Hadley Wickham and Garrett Grolemund

For Advanced Learners:

The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman This book is a classic text on statistical learning, which is a broader field that encompasses machine learning. It covers the theoretical foundations of many machine learning algorithms.
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link.springer.com
Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville This book is a comprehensive guide to deep learning, which is a type of machine learning that uses artificial neural networks to learn from data. It covers the theory and practice of deep learning algorithms.
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www.amazon.com
Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig This book is a classic text on artificial intelligence, which is a broader field that encompasses data science. It covers the history, theory, and applications of artificial intelligence.
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Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig

These are just a few of the many great books on data science available. The best book for you will depend on your experience level and learning style.