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(This article was first published on <strong><a href="http://www.quantide.com/r-live-class-statistics-for-data-science/"> R blog | Quantide - R training &amp; consulting</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p><img alt="Locandina Statistics Data for Science" src="https://i0.wp.com/www.quantide.com/wp-content/uploads/2017/09/Locandina-Statistics-Data-for-Science-1024x666.png?w=450" class="wp-image-3648" data-recalc-dims="1"></p>
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<p><span><b>Statistics for Data Science</b> is our second course of the autumn term. It takes place in <b>October 11-12</b> in <b>Milano Lima</b>.</span></p>
<p><span>In this two-day course you will learn how to develop a wide variety of linear and generalized linear models with R. The course follows a step-by-step approach: starting from the simplest linear regression we will add complexity to the model up to the most sophisticated GLM, looking at the statistical theory along with its R implementation. Supported by plenty of examples, the course will give you a wide overview of the R capabilities to model and to make predictions.</span></p>
<h3><strong>Statistics for Data Science Outlines</strong></h3>
<ul>
<li><span>t-test, ANOVA</span></li>
<li><span>Linear, Polynomial and Multiple Regression</span></li>
<li><span>More Complex Linear Models</span></li>
<li><span>Generalized Linear Models</span></li>
<li><span>Logistic Regression</span></li>
<li><span>Poisson Dep. Var. Regression</span></li>
<li><span>Gamma Dep. Var. Regression</span></li>
<li><span>Check of models assumptions</span></li>
<li><span>Brief outlines of GAM, Mixed Models. Neural Networks, Tree-based Modelling</span></li>
</ul>
<p> </p>
<p><span><b>Statistics for Data Science</b><span> is</span><span> organized by the R training and consulting company </span><i><span>Quantide </span></i><span>and is</span><span> taught in </span><b>Italian</b><span>, while all the course materials are in </span><b>English</b><span>.</span></span></p>
<p><span>The course is for max 6 attendees.</span></p>
<h3><b>Location</b></h3>
<p><span>The course location is 550 mt. (7 minutes on walk) from Milano central station and just 77 mt. (1 minute on walk) from Lima subway station.</span></p>
<h3><strong>Registration</strong></h3>
<p>If you want to reserve a seat go to: <a rel="nofollow" href="https://www.eventbrite.com/e/r-live-class-statistics-for-data-science-tickets-37685981786" target="_blank"><span>FAQ, detailed program and tickets.</span></a></p>
<h2><b>Other R courses | Autumn term</b></h2>
<p>You can find <a rel="nofollow" href="http://www.quantide.com/new-r-live-courses-milan-calendar/" target="_blank">an overview of all our courses here</a>. Next dates will be:</p>
<ul>
<li><i><span>October 25-26</span></i><span>: </span><b>Machine Learning with R</b><span>. </span><span>Find patterns in large data sets using the R tools for Dimensionality Reduction, Clustering, Classification and Prediction. </span><a rel="nofollow" href="https://www.eventbrite.com/e/r-live-class-machine-learning-with-r-tickets-37686381983" target="_blank"><span><span>Reserve now!</span></span></a></li>
<li><i><span>November 7-8</span></i><span>: </span><b>Data Visualization and Dashboard with R</b><span>. Show the story behind your data: create beautiful effective visualizations and interactive Shiny dashboards. </span><a rel="nofollow" href="https://www.eventbrite.com/e/r-live-class-data-visualization-dashboards-with-r-tickets-37686798228" target="_blank"><span><span>Reserve now!</span></span></a></li>
<li><i><span>November 21-22</span></i><span>: </span><b>R with Database and Big Data</b><span>. From databases to distributed infrastructure, master the R techniques to handle and query Big Data. </span><a rel="nofollow" href="https://www.eventbrite.com/e/r-live-class-r-with-database-big-data-tickets-37687096119" target="_blank"><span><span>Reserve now!</span></span></a></li>
<li><i><span>November 29-30</span></i><span>: </span><b>Professional R Programming</b><span>. Organise, document and test your code: write efficient functions, improve the code reproducibility and build R packages. </span><a rel="nofollow" href="https://www.eventbrite.com/e/r-live-class-professional-r-programming-tickets-37687470238" target="_blank"><span><span>Reserve now!</span></span></a></li>
</ul>
<p><span>In case you are a group of people interested in more than one class, write us at </span><a rel="nofollow" href="mailto:training@quantide.com" target="_blank"><span>training[at]quantide[dot]com</span></a><span>! We can arrange together a tailor-made course, picking all the topics that are interesting for your organization and dropping the rest.</span></p>
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<p>The post <a rel="nofollow" href="http://www.quantide.com/r-live-class-statistics-for-data-science/" target="_blank">R live class – Statistics for Data Science</a> appeared first on <a rel="nofollow" href="http://www.quantide.com/" target="_blank">Quantide – R training &amp; consulting</a>.</p>
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