<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/short-course-on-r-and-data-mining-university-of-canberra-fri-7-oct-2016/"></div></div><div><a data-url="https://www.r-bloggers.com/short-course-on-r-and-data-mining-university-of-canberra-fri-7-oct-2016/" data-counturl="https://www.r-bloggers.com/short-course-on-r-and-data-mining-university-of-canberra-fri-7-oct-2016/" data-count="horizontal" data-text="Short Course on R and Data Mining, University of Canberra, Fri 7 Oct 2016" 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="https://rdatamining.wordpress.com/2016/09/20/short-course-on-r-and-data-mining-university-of-canberra-fri-7-oct-2016/"> R – blog.RDataMining.com</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p><b>Short Course on R and Data Mining</b></p>
<p><b>Information Technology and Engineering, University of Canberra</b></p>
<p><b>Fees: </b>There is no fees for the short course but seats are limited to 60 – so register early through <a target="_blank" href="http://www.meetup.com/CanberraDataSci/events/234168862/">http://www.meetup.com/CanberraDataSci/events/234168862/</a></p>
<p><b>Presenters: </b><a target="_blank" href="http://www.rdatamining.com/about">Dr Yanchang Zhao</a> (Adjunct Professor, UC), <a target="_blank" href="https://www.canberra.edu.au/about-uc/faculties/estem/contacts-estem/staff/dharmendra-sharma">Professor Dharmendra Sharma</a></p>
<p><b>Time: </b>9:30am – 12:30pm, Fri 7 Oct 2016</p>
<p><b>Room:</b> 2B02 (Building 2, room B02, University of Canberra)<b><br>
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<p><b>Map and Parking:</b></p>
<p><a target="_blank" href="http://www.canberra.edu.au/maps/pdf-maps/PARKING-Casual.pdf">http://www.canberra.edu.au/maps/pdf-maps/PARKING-Casual.pdf</a></p>
<p><b>Course Outline:</b></p>
<p>The course will cover R programming, data exploration and visualisation, and data mining with R. It will cover four topics below in two sessions. Each 1.5-hour session will consist of presentations on two topics, followed by lab for students to do exercises.</p>
<p>– R Programming and Data Exploration and Visualisation with R</p>
<p>– Regression and Classification with R</p>
<p>– Association Rule Mining with R</p>
<p>– Text Mining with R — an Analysis of Twitter Data</p>
<p>Instructions, prerequisites and slides for the course are or will be available at <a target="_blank" href="http://www.rdatamining.com/training/uc">http://www.rdatamining.com/training/uc</a>.</p>
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