Best Reference Books for Data Science

by BuildMyVocab

List of "Best Reference 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.

1. Introducing Data Science by Arno D.B. Meysman, Mohamed Ali Davy Cielen
   Dreamtech Press (Number of pages: 320)
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2. Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by EMC Education Services
   Wiley (Number of pages: 432)
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3. Data science for Business by Foster Provost
   Shroff (Number of pages: 424)
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4. Machine Learning by Tom M. Mitchell
   McGraw Hill Education (Number of pages: 432)
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5. Data Science from Scratch by Joel Grus
   Shroff (Number of pages: 356)
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6. Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles by Narasimha Karumanchi
   Careermonk Publications (Number of pages: 434)
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7. Data Science for Dummies by Lillian Pierson
   Dummies (Number of pages: 408)
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8. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham,Garrett Grolemund
   Shroff/O'Reilly (Number of pages: 520)
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9. What Is Data Science? by Mike Loukides
   O'Reilly Media (Number of pages: 27)
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10. Mastering Python for Data Science by Samir Madhavan
    Packt Publishing Limited (Number of pages: 294)
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