<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/r-akademie-back-in-town-eoda-r-training-returns-to-hamburg-in-april/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="https://blog.eoda.de/2018/01/18/r-akademie-back-in-town-eoda-r-training-returns-to-hamburg-in-april/"> eoda english R news</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>After last year’s successful premiere, the eoda R-Akademie on the Road will be back in Hamburg this year for four inspiring days of professional R training for data scientists, programmers and R enthusiasts.</p>
<figure class="wp-caption"><a rel="nofollow" href="https://i2.wp.com/blog.eoda.de/wp-content/uploads/2018/01/eoda_R-Akademie-Hamburg.png?ssl=1" target="_blank"><img sizes="(max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 984px) 61vw, (max-width: 1362px) 45vw, 600px" src="https://i2.wp.com/blog.eoda.de/wp-content/uploads/2018/01/eoda_R-Akademie-Hamburg.png?w=450&ssl=1" alt="R-Akademie on the Road: R Training in Hamburg" class="wp-image-4600" data-recalc-dims="1"></a><figcaption class="wp-caption-text">R-Akademie on the Road: R Training in Hamburg</figcaption></figure>
<p>The program for German-speaking users will start with a two-day introduction to R on 17-18 April. This course provides insights into the general logic and terminology of R to lay the foundation of working independently with the language. The following two days will deal with the application of data mining procedures, covering topics from data management to the training of algorithms to the creation and validation of forecasts. Both two-day courses can be booked separately or as a special offer bundle.</p>
<p>eoda R-Akademie on the road in Hamburg:</p>
<p>17-18 April | Einführung in R</p>
<p>19-20 April | Data Mining mit R</p>
<p>For more information visit <a rel="nofollow" href="http://www.eoda.de/de/r-akademie-on-the-road.html" target="_blank">eoda.de</a>.</p>
	<p>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://blog.eoda.de/2018/01/18/r-akademie-back-in-town-eoda-r-training-returns-to-hamburg-in-april/"> eoda english R news</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a rel="nofollow" href="https://www.r-project.org/" title="The R Project for Statistical Computing">R</a> news and <a rel="nofollow" href="https://www.r-bloggers.com/search/tutorial" title="R tutorials">tutorials</a> on topics such as: <a rel="nofollow" href="https://www.r-bloggers.com/search/data%20science" title="Data science">Data science</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data" title="Big Data">Big Data, <a rel="nofollow" href="https://www.r-users.com/" title="R jobs">R jobs</a>, visualization (<a rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2" title="ggplot and ggplot2 tutorials">ggplot2</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/boxplot" title="Boxplots using lattice and ggplot2 tutorials">Boxplots</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/map" title="Maps and gis">maps</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/animation" title="Animation in R">animation</a>), programming (<a rel="nofollow" href="https://www.r-bloggers.com/search/RStudio" title="RStudio IDE for R">RStudio</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/sweave" title="Sweave and literate programming">Sweave</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX" title="LaTeX in R">LaTeX</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/SQL" title="SQL and databases">SQL</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/eclipse" title="Eclipse IDE for R">Eclipse</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/git" title="git and github, Version Control System">git</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/hadoop" title="Large data in R using Hadoop">hadoop</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping" title="Web Scraping of google, facebook, yahoo, twitter and more using R">Web Scraping</a>) statistics (<a rel="nofollow" href="https://www.r-bloggers.com/search/regression" title="Regressions and ANOVA analysis tutorials">regression</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/PCA" title="principal component analysis tutorial">PCA</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/time+series" title="Time series">time series</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/trading" title="finance trading">trading</a>) and more...
<img width="1" alt="" src="http://feeds.feedburner.com/~r/RBloggers/~4/ltNNsTn3gUQ" height="1"></a></div>