Best Books for a Data Scientist
List of "Best Books for a Data Scientist" 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.
- Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce,Andrew BruceO'Reilly Media (Number of pages: 320)
- Data Scientist: The Definitive Guide to Becoming a Data Scientist by Zacharias Voulgaris PhDTechnics Publications, LLC (Number of pages: 300)
- The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists by Carl Shan,William Chen,Henry Wang,Max SongData Science Bookshelf, The (Number of pages: 346)
- Data Science For Dummies by Lillian PiersonFor Dummies (Number of pages: 408)
- Introduction to Machine Learning with Python: A Guide for Data Scientists by Andreas C. Müller,Sarah GuidoO'Reilly Media (Number of pages: 394)
- Data Smart: Using Data Science to Transform Information into Insight by John W. ForemanWiley (Number of pages: 432)
- Data Analytics with Hadoop: An Introduction for Data Scientists by Benjamin Bengfort,Jenny KimO'Reilly Media (Number of pages: 288)
- Think Like a Data Scientist: Tackle the data science process step-by-step by Brian GodseyManning Publications (Number of pages: 328)
- Data Science Interviews Exposed by Yanping Huang,Jane You,Iris Wang,Feng Cao,Ian GaoCreateSpace (Number of pages: 230)
- The Sky Is Falling (The DATA Set) by Ada HopperLittle Simon (Number of pages: 128)
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