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(This article was first published on <strong><a href="http://www.milanor.net/blog/efficient-data-manipulation-r/"> MilanoR</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p><strong>Efficient Data Manipulation with R </strong>is our second course of the Fall Term. It will take place on<strong> October</strong><strong> 17-18 </strong>in<strong> Legnano (Milan)</strong>.</p>
<p>This class will be a good fit for you if you have a working knowledge of R, and you usually handle with data and databases.</p>
<p>You will learn to organize your data manipulation tasks in a standard and clear way, write clean and efficient code, and build reproducible data management processes, using the most modern R tools: <a target="_blank" href="https://cran.r-project.org/web/packages/tidyr/index.html">tidyr</a>,<a target="_blank" href="https://cran.r-project.org/web/packages/dplyr/index.html"> dplyr </a>and <a target="_blank" href="https://cran.r-project.org/web/packages/lubridate/index.html">lubridate</a> packages.<strong><br>
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<p><strong>Outline</strong></p>
<div class="wp-caption"><a target="_blank" rel="attachment wp-att-2210" href="https://i1.wp.com/www.milanor.net/blog/wp-content/uploads/2016/03/data_flow.png"><img sizes="(max-width: 201px) 100vw, 201px" alt="data manipulation" class="wp-image-2210" src="https://i1.wp.com/www.milanor.net/blog/wp-content/uploads/2016/03/data_flow.png?resize=201%2C237" data-recalc-dims="1"></a>
<p class="wp-caption-text">Data manipulation in a data flow</p>
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<ul>
<li>Tidying data with tidyr</li>
<li>The fundamental verbs of data manipulation: select, filter, arrange, mutate and summarize</li>
<li>Group-wise calculations</li>
<li>Date handling with lubridate</li>
<li>Joining tables</li>
<li>Chain operators</li>
<li>Do as generic data manipulation tool</li>
<li>Programming with dplyr and tidyr: NSE vs SE</li>
<li>Working with backend databases</li>
</ul>
<p> </p>
<p> </p>
<p>The course is open to max 6 attendees: <a target="_blank" href="https://www.eventbrite.it/e/biglietti-r-live-class-efficient-data-manipulation-with-r-26056889859">FAQ, detailed program and tickets here</a>.</p>
<p>Data Manipulation is organized by the R training and consulting company <strong>Quantide</strong> and it is taught <strong>in Italian.</strong></p>
<p>All the course materials are<strong> in English</strong>.</p>
<p>If you want to know more about Quantide, check out <a target="_blank" href="http://www.quantide.com/">Quantide’s website</a>.</p>
<h4><strong>Location</strong></h4>
<p>Legnano is about 30 min by train from Milano. Trains from Milano to Legnano are scheduled every 30 minutes, and Quantide premises are 3 walking minutes from Legnano train station.</p>
<h4></h4>
<p> </p>
<h2><strong>Other R courses | Autumn term</strong></h2>
<p><strong>October 25-26: <a target="_blank" href="http://www.quantide.com/courses-overview/statistical-models-with-r/">Statistical Models with R</a>.</strong> Develop a wide variety of statistical models with R, from the simplest Linear Regression to the most sophisticated GLM models. <a target="_blank" href="https://www.eventbrite.it/e/r-live-class-statistical-models-with-r-tickets-26056835697">Reserve now</a></p>
<p><strong>November 7-8: <a target="_blank" href="http://www.quantide.com/courses-overview/data-mining-with-r/">Data Mining with R</a>.</strong> Find patterns in large data sets using the R tools for Dimensionality Reduction, Clustering, Classification and Prediction. <a target="_blank" href="https://www.eventbrite.it/e/biglietti-r-live-class-data-mining-with-r-26056751445">Reserve now</a></p>
<p><strong>November 15-16: <a target="_blank" href="http://www.quantide.com/courses-overview/r-for-developers/">R for Developers</a>.</strong> Move forward from being a R user to become a R developer. Discover the R working mechanisms and master your R programming skills. <a target="_blank" href="https://www.eventbrite.it/e/r-live-class-r-for-developers-tickets-26056312131">Reserve now</a></p>
<p>For further information contact us at training[at]quantide[dot]com</p>
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<p>The post <a target="_blank" rel="nofollow" href="http://www.milanor.net/blog/efficient-data-manipulation-r/">Efficient Data Manipulation with R Course | Milan</a> appeared first on <a target="_blank" rel="nofollow" href="http://www.milanor.net/blog">MilanoR</a>.</p>
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