To all voracious readers, here is an ideal list of books to have in bookshelf of every data scientist and analyst. These books cover a wide range of topics and perspective, which would help to become a well-rounded data scientist and analyst. Here are a few:
• R Cookbook by Paul Teetor
• Python for Data Analysis by Wes McKinney
• Web Analytics: An Hour a Day by Avinash Kaushik
• Web Analytics 2.0 by Avinash Kaushik
• How to Measure Social Media: A Step-By-Step Guide to Developing and Assessing Social Media ROI by Nichole Kelly
• The Visual Display of Quantitative Information by Edward R. Tufte
• Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics by Nathan Yau
• The Wall Street Journal Guide to Information Graphics: The Dos & Don’ts of Presenting Data, Facts, & Figures by Dona M. Wong
• Now You See It: Simple Visualization Techniques for Quantitative Analysis by Stephen Few
Read more at https://www.analyticsvidhya.com/blog/2015/06/infographic-read-books-analytics-data-science/
