Books
A curated collection of essential books for your data science journey. All books are available for free download.
Programming for Data Science Complete RoadMap
Author: Juma Shafara
This guide is designed to help you navigate the essential skills needed to become a successful data scientist. Whether you ' re just starting out or looking to enhance your existing skills, this roadmap will provide a clear and structured path.
Topics: Python | Data Analysis | Pandas
Python for Data Analysis
Author: Wes McKinney
The definitive guide to using Python for data analysis. Learn pandas, NumPy, and other essential tools from the creator of pandas.
Topics: Python | Data Analysis | Pandas
Hands-On Machine Learning
Author: Aurelien Geron
A comprehensive guide to machine learning with scikit-learn, Keras, and TensorFlow. Perfect for beginners and practitioners.
Topics: Machine Learning | Scikit-learn | TensorFlow
Deep Learning
Authors: Ian Goodfellow, Yoshua Bengio, Aaron Courville
The definitive textbook on deep learning. Covers the mathematical foundations and practical applications of neural networks.
Topics: Deep Learning | Neural Networks | Advanced
Introduction to Statistical Learning
Authors: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
An accessible introduction to statistical learning methods. Includes R code examples and practical applications.
Topics: Statistics | Machine Learning | R
The Elements of Statistical Learning
Authors: Trevor Hastie, Robert Tibshirani, Jerome Friedman
A comprehensive treatment of modern statistical learning. More advanced than ISL, covering theory and methodology.
Topics: Statistics | Machine Learning | Theory | Advanced
Pattern Recognition and Machine Learning
Author: Christopher Bishop
A comprehensive introduction to pattern recognition and machine learning from a Bayesian perspective.
Topics: Pattern Recognition | Bayesian Methods | Advanced
Suggest a Book
Know a great data science book that should be on this list? Email us your suggestions!