Data Science Books (Free Download in PDF)
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Linear Algebra in Data Science
It explains core mathematical concepts essential for understanding machine learning and data analysis with intuitive, example-driven content.
Print length: 208 pages
Published: May 15, 2024
ISBN: 978-3031549076 (ISBN10: 3031549074)
The teextbook bridges systems programming and analytics, teaching how to use Rust for high-performance, memory-safe data science workflows.
Print length: 663 pages
Published: June 25, 2024
ISBN: - (ISBN10: B0D7ZSTM5X)
Mathematics for Data Science: Linear Algebra with Matlab
The book teaches essential linear algebra techniques for data science with clear MATLAB-based examples and applications.
Print length: 390 pages
Published: 2025
ISBN: - (ISBN10: -)
From Concepts to Code: Introduction to Data Science
It is a beginner-friendly introduction to data science, covering key concepts, algorithms, and hands-on coding techniques for real-world data analysis.
Print length: 386 pages
Published: May 6, 2024
ISBN: 978-1032517957 (ISBN10: 1032517956)
It is a complete guide to using R for data analysis, visualization, and predictive modeling with practical examples.
Print length: 576 pages
Published: July 18, 2023
ISBN: 978-1492097402 (ISBN10: 1492097403)
Foundations of Data Science with Python
The book provides a comprehensive introduction to data science using Python, focusing on key concepts, tools, and practical applications for data analysis.
Print length: 502 pages
Published: February 22, 2024
ISBN: 978-1032350424 (ISBN10: 1032350423)
Advanced Data Analytics Using Python
The book provides a comprehensive guide to leveraging Python’s advanced libraries and tools for efficient data analysis, modeling, and visualization.
Print length: 268 pages
Published: November 26, 2022
ISBN: 978-1484280041 (ISBN10: 1484280040)
Practical Linear Algebra for Data Science
This book provides a clear and practical guide to understanding and using linear algebra techniques for data science, with real-world applications and examples.
Print length: 505 pages
Published: September 6, 2022
ISBN: 978-1098120610 (ISBN10: 1098120612)
Scaling Python with Dask: From Data Science to Machine Learning
Learn to parallelize computations, manage large datasets, and scale machine learning models effortlessly.
Print length: 223 pages
Published: August 22, 2023
ISBN: 978-1098119874 (ISBN10: 1098119878)
Explore machine learning algorithms and statistical techniques in this comprehensive guide.
Print length: 588 pages
Published: January 17, 2023
ISBN: 978-1098121228 (ISBN10: 1098121228)
What is a Data Science Book?
How to Choose Books for Studying Data Science?
- Author's Authority: Study books written by recognized experts in the field of Data Science. Their experience and knowledge will help you better understand complex concepts.
- Content and Structure: Choose editions with well-structured content that covers all necessary aspects of Data Science, from beginner to advanced levels.
- Relevance of Material: Ensure that the guide contains up-to-date information and reflects the latest trends and technologies in the industry. Data Science evolves quickly, so it's important that the information is current.
- Practical Focus: Look for books with practical examples and exercises. This will allow you to apply theoretical knowledge in practice and better retain the material.