<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/free-e-book-data-science-with-sql-server-2016/"></div></div><div><a data-url="https://www.r-bloggers.com/free-e-book-data-science-with-sql-server-2016/" data-counturl="https://www.r-bloggers.com/free-e-book-data-science-with-sql-server-2016/" data-count="horizontal" data-text="Free e-book: Data Science with SQL Server 2016" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2016/10/data-science-with-sql-server-2016.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>There's <a target="_blank" rel="nofollow" href="http://a0.typepad.com/6a0105360ba1c6970c01bb094bdad8970d-pi"><img title="Data science book cover" alt="Data science book cover" src="http://a0.typepad.com/6a0105360ba1c6970c01bb094bdad8970d-250wi"></a> a new e-book available to <a target="_blank" rel="nofollow" href="https://mva.microsoft.com/ebooks/">download free from Microsoft Academy</a>: Data Science with Microsoft SQL Server 2016. </p>
<p>This 90-page e-book is aimed at data scientists who already have some experience in R, but want to learn how to use R wirth SQL Server. The book was written by some of my most experienced colleagues from Microsoft's data science team at Microsoft: Buck Woody, Danielle Dean, Debraj GuhaThakurta, Gagan Bansal, Matt Conners, and Wee-Hyong Tok, and begins with an <a target="_blank" rel="nofollow" href="https://blogs.technet.microsoft.com/machinelearning/2016/10/19/data-science-with-microsoft-sql-server-2016-free-ebook/">introduction</a> by Joseph Sirosh. It includes everything you need to know to use R and SQL Server:</p>
<ul>
<li>How to install and configure your data science tool-set: SQL Server 2016, Microsoft R Client, RStudio/RTVS, etc.</li>
<li>How to download data from SQL Server into a local R client</li>
<li>How to create and update tables in SQL Server from R</li>
<li>Use a remote SQL Server instance as an R compute engine, driven from your local R client</li>
<li>Write SQL Server stored procedures that run R code on the server, and how to share them with others.</li>
</ul>
<p>(If you're new to R or data science, there are also links to learning resources in Chapter 1.) The book also includes several fully-worked examples following the data science process, with links to data and code so you can try them out yourself:</p>
<ul>
<li>Creating a model to predict whether a tip is given for a taxi ride in New York City</li>
<li>Building a customer churn model to find customers likely to switch to a competing service provider</li>
<li>Analyzing &quot;Internet of Things&quot; data as part of a predictive maintenenance program</li>
</ul>
<p><a target="_blank" rel="nofollow" href="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01bb094bdd46970d-pi"><img title="Data science process" alt="Data science process" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01bb094bdd46970d-800wi" border="0"></a></p>
<p><strong>Data Science with Microsoft SQL Server 2016</strong> is available now as a download from <a target="_blank" rel="nofollow" href="https://mva.microsoft.com/ebooks/">Microsoft Academy</a>. (Desktop and mobile PDF formats available. Free registration required.)</p>
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<p><div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="https://www.r-bloggers.com/free-e-book-data-science-with-sql-server-2016/"></div></div><div><a data-url="https://www.r-bloggers.com/free-e-book-data-science-with-sql-server-2016/" data-counturl="https://www.r-bloggers.com/free-e-book-data-science-with-sql-server-2016/" data-count="vertical" data-text="Free e-book: Data Science with SQL Server 2016" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://blog.revolutionanalytics.com/2016/10/data-science-with-sql-server-2016.html"> Revolutions</a></strong>.</div>
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