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	<h1>Must Read Books</h1>
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			<span class="post-date">Aug 03</span>

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				Posted by <a href="/forum/user/2337-sagarika-sengupta">Sagarika Sengupta</a>				in <a href="/resources/sigmaway-blog/analytics">Analytics</a>			</span>
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	<p>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:</p>
<p>• R Cookbook by Paul Teetor</p>
<p>• Python for <a href="/our-services/analytics.html" target="_blank" rel="noopener noreferrer">Data Analysis</a> by Wes McKinney </p>
<p>• Web Analytics: An Hour a Day by Avinash Kaushik </p>
<p>• Web Analytics 2.0 by Avinash Kaushik </p>
<p>• How to Measure Social Media: A Step-By-Step Guide to Developing and Assessing Social Media ROI by Nichole Kelly</p>
<p>• The Visual Display of Quantitative Information by Edward R. Tufte</p>
<p>• Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics by Nathan Yau</p>
<p>• The Wall Street Journal Guide to Information Graphics: The Dos &amp; Don’ts of Presenting Data, Facts, &amp; Figures by Dona M. Wong</p>
<p>• Now You See It: Simple Visualization Techniques for Quantitative Analysis by Stephen Few</p>
<p>Read more at <a href="https://www.analyticsvidhya.com/blog/2015/06/infographic-read-books-analytics-data-science/" target="_blank" rel="noopener noreferrer">https://www.analyticsvidhya.com/blog/2015/06/infographic-read-books-analytics-data-science/</a></p>
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