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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2016/10/practical-data-science.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'd like to learn how to run R within Azure Machine Learning and SQL Server, you may be interested in these upcoming <a target="_blank" href="https://projectbotticelli.com/courses?pk_campaign=pb2016j">4-day Practical Data Science courses</a>, presented by Rafal Lukawiecki from Project Botticelli.</p>
<p>In this classroom-based course, you will learn machine learning, data mining, some statistics<em>,</em> data preparation, and how to interpret the results. You will also learn how to formulate business questions in terms of data science hypotheses and experiments<em>,</em> and how to prepare inputs to answer those questions. Rafal will share his decade of hands-on experience while teaching you about Azure Machine Learning (Azure ML) which is the foundation of Cortana Analytics Suite, and its highly-visual, on-premise companion, the SQL Server Analysis Services Data Mining engine, supplemented with the free Microsoft R Open and Microsoft R Server software. By the end of this course you will be able to plan and run data science projects.</p>
<p>For more information on the courses and local details, follow the links to the host city below: </p>
<ul>
<li>24–27 October 2016: <a target="_blank" href="http://technitrain.com/coursedetail.php?c=68">London</a></li>
<li>7–11 November 2016 (5-day version): <a target="_blank" href="https://www.sqlskills.com/sql-server-training/chicago-iepds-20161107/?utm_source=rafal&utm_medium=email&utm_campaign=pbwebsite">Chicago</a></li>
<li>14–17 November 2016: <a target="_blank" href="http://ch.atosconsulting.com/rafal">Zurich</a></li>
<li>21–25 November 2016: <a target="_blank" href="http://www.glasspaper.no/Sok/rafal/?queryString=rafal&epslanguage=no">Oslo</a></li>
<li>28 November – 1 December 2016: <a target="_blank" href="http://www.cornerstone.se/rafal">Stockholm</a></li>
</ul>
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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/practical-data-science.html"> Revolutions</a></strong>.</div>
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