class: center, middle, inverse, title-slide # Choose I ### The R Bootcamp <br/><a href='https://therbootcamp.github.io'>www.therbootcamp.com</a><br/><a href='https://twitter.com/therbootcamp'><span class="citation">@therbootcamp</span></a> ### July 2018 --- layout: true <div class="my-footer"><span> <a href="https://therbootcamp.github.io/"><font color="#7E7E7E">Basel, July 2018</font></a>                                           <a href="https://therbootcamp.github.io/"><font color="#7E7E7E">www.therbootcamp.com</font></a> </span></div> --- # Choose your adventure! .pull-left45[ <u>Base track</u><br> <font size="8"><hfont>Practical - Case studies</hfont></font><br> Work on one or all of 3 case studies designed to repeat the central elements of <high>Data I/O</high>, <high>Data Wrangling</high>, and <high>Statistics</high><br> <high>Clinical trial</high> Analyse a clinical trial comparing the effectiveness of drugs on reducing histamine.<br> <high>Finance</high> Study the development of key financial markets across the last 20 years<br> <high>Sales</high> Analyze sales from a real-world retailer across time and locations.<br> ] .pull-right45[ <u>Advanced track</u><br> <font size="8"><hfont>Machine Learning</hfont></font><br> Learn... ...when machine learning algorithms like <high>Random forests</high>, <high>Decisions trees</high>, and <high>Regression</high> work and why. ...how they are <high>implemented in R</high> to improve prediction performance in a real world data set. ]