Best Books for Data Science
List of "Best Books for Data Science" compiled based on Amazon book reviews by experts. These books are used by students of top institutes, universities, colleges and professionals. Please feel free to suggest any other book on this topic using the comment section below.
- Introducing Data Science by Arno D.B. Meysman, Mohamed Ali Davy CielenDreamtech Press (Number of pages: 320)
- Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by EMC Education ServicesWiley (Number of pages: 432)
- Data science for Business by Foster ProvostShroff (Number of pages: 424)
- Machine Learning by Tom M. MitchellMcGraw Hill Education (Number of pages: 432)
- Data Science from Scratch by Joel GrusShroff (Number of pages: 356)
- Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles by Narasimha KarumanchiCareermonk Publications (Number of pages: 434)
- Data Science for Dummies by Lillian PiersonDummies (Number of pages: 408)
- R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham,Garrett GrolemundShroff/O'Reilly (Number of pages: 520)
- What Is Data Science? by Mike LoukidesO'Reilly Media (Number of pages: 27)
- Mastering Python for Data Science by Samir MadhavanPackt Publishing Limited (Number of pages: 294)
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