<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-online-course-analyzing-big-data-with-microsoft-r-server/"></div></div><div><a data-url="https://www.r-bloggers.com/free-online-course-analyzing-big-data-with-microsoft-r-server/" data-counturl="https://www.r-bloggers.com/free-online-course-analyzing-big-data-with-microsoft-r-server/" data-count="horizontal" data-text="Free online course: Analyzing big data with Microsoft R Server" 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/2016/11/edx-microsoft-r.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>If you're already familiar with R, but struggling with out-of-memory or performance problems when attempting to analyze large data sets, you might want to check out this new EdX course, <a target="_blank" rel="nofollow" href="https://www.edx.org/course/analyzing-big-data-microsoft-r-server-microsoft-dat213x#!">Analyzing Big Data with Microsoft R Server</a>, presented by my colleague <a target="_blank" rel="nofollow" href="https://www.edx.org/bio/seth-mottaghinejad">Seth Mottaghinejad</a>. In the course, you'll learn how to build models using the <code>RevoScaleR</code> package, and deploy those models to production environments like Spark and SQL Server. The course is self-paced with videos, tutorials and tests, and is free to audit.</p>
<p><iframe height="281" allowfullscreen="" width="500" src="https://www.youtube.com/embed/O6mtAP79mEg"></iframe></p>
<p>(By the way, if you don't already know R, you might want to check out the courses <a target="_blank" rel="nofollow" href="https://www.edx.org/course/introduction-r-data-science-microsoft-dat204x-2">Introduction to R for Data Science</a> and <a target="_blank" rel="nofollow" href="https://www.edx.org/course/programming-r-data-science-microsoft-dat209x-1">Programming in R for Data Science</a> first.)</p>
<p>The RevoScaleR package isn't available on CRAN: it's included with Microsoft R Server and Microsoft R Client. You can download and use <a target="_blank" rel="nofollow" href="https://msdn.microsoft.com/en-us/microsoft-r/r-client-get-started">Microsoft R Client</a> for free, which provides an installation of R with the <code>RevoScaleR</code> library built in and loaded when you start the session. An R IDE is also recommended: you can use <a target="_blank" rel="nofollow" href="https://www.visualstudio.com/vs/rtvs/">R Tools for Visual Studio</a> or <a target="_blank" rel="nofollow" href="https://www.rstudio.com/products/RStudio/">RStudio</a>.</p>
<p>The course is open now, and you can get started at EdX at the link below.</p>
<p>EdX: <a target="_blank" rel="nofollow" href="https://www.edx.org/course/analyzing-big-data-microsoft-r-server-microsoft-dat213x#!">Analyzing Big Data with Microsoft R Server</a></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-online-course-analyzing-big-data-with-microsoft-r-server/"></div></div><div><a data-url="https://www.r-bloggers.com/free-online-course-analyzing-big-data-with-microsoft-r-server/" data-counturl="https://www.r-bloggers.com/free-online-course-analyzing-big-data-with-microsoft-r-server/" data-count="vertical" data-text="Free online course: Analyzing big data with Microsoft R Server" 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/2016/11/edx-microsoft-r.html"> Revolutions</a></strong>.</div>
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