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<!DOCTYPE html>
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<!---<div class="intro-heading text-uppercase" style='margin-bottom:0px;'>The R Bootcamp<br><a href="https://therbootcamp.github.io/ML_2019Oct/"><font style="font-size:40%;line-height:50px;color:#EA4B68;vertical-align: text-top;text-transform: lowercase;">...running...</font></a></div>--->
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<!---<h3 class="section-subheading text-muted">We are Switzerland-based data scientists who have jointly spent over 25 years doing data science with R for both research and industry. Our goal is to help you learn the skills needed to discover and communicate insights from data and join the data revolution.</h3>--->
<p class="text-muted">We are Swiss-based data scientists who have jointly spent over 25 years doing data science with R for both research and industry. Our goal is to help you learn the skills needed to discover and communicate insights from data and join the data revolution.</p><br><br>
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<p class="text-muted">We offer various courses for everyone interested in starting their journey into Data Science. For more information see <a class="js-scroll-trigger" href="#courses"><b>upcoming courses</b></a>.</p>
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<p class="text-muted">We are active R developers and share R's open philosophy. That's why you will find all our materials are <a data-toggle="modal" href="#arxiv"><b>publicly available</b></a> at all times.</p>
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<!---<h3 class="section-subheading text-muted">Like you, we are students of R and Data Science. In this section, we share some of our insights in the form of small tutorials and useful tips and tricks.</h3>
<p class="text-muted">Like you, we are students of R and Data Science. Here, we share some of our insights in the form of small tutorials and useful tips and tricks.</p><br><br>--->
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<p class="text-muted">5 reasons why you should learn R today</p>
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<p class="text-muted">using the amazing <a class="pckg" target="_blank" href="https://www.tidyverse.org/">tidyverse</a></p>
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<p class="text-muted">created easily using <a class="pckg" target="_blank" href="https://rmarkdown.rstudio.com/">R Markdown</a></p>
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<!---
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<h3 class="section-subheading text-muted">Balancing short, interactive presentations and longer hands-on, step-by-step practicals our courses are designed to cater to your specific level and needs, may you be a beginner or advanced data analyst. There will be multiple instructors to ensure that no one gets lost. Feel to contact us, if you have questions, and explore our open materials.</h3>
--->
<p class="text-muted" style="margin:0px;font-size:1.5em">For professionals and academics!</i></p>
<p class="text-muted">Balancing short, interactive presentations and longer hands-on, step-by-step practicals our courses are designed to cater to your specific level and needs, may you be a beginner or advanced data analyst. There will be multiple instructors to ensure that no one gets lost. Please contact us, if you have questions, and explore our open materials.</p><br><br><br>
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<h4>R for Data Science</h4>
<p class="text-muted" style="margin-bottom:2px;font-size:1.2em">990CHF @ Uni Basel</p>
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<p class="text-muted">Learn how to do data science using R from the ground-up. After the course, you will know how to load data from external files, clean, organise, and explore data, conduct basic statistical analyses and create striking visualisations.</p>
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<!---<a class="date" href="https://advancedstudies.unibas.ch/courses/course/machine-learning-with-r-208291#collapsible-heading-anmeldung">Aug 24/25 | Register</a>--->
<a class="pre-date" href="mailto:[email protected]?subject=Preregistration for R for Data Science&body=I would like to preregister for the next R Bootcamp 'R for Data Science'.">tba | Preregister</a>
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<h4>Statistics with R</h4>
<p class="text-muted" style="margin-bottom:2px;font-size:1.2em">990CHF @ Uni Basel</p>
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<p class="text-muted">Learn how to make robust, actionable data-driven decisions from data using Statistics and R. After the course, you will be able to run various statistical tests and models, understand their assumptions and interpret their results.</p>
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<!---<a class="date" href="https://advancedstudies.unibas.ch/courses/course/statistics-with-r-233189#collapsible-heading-anmeldung">Sep 7/8 | Register</a>--->
<a class="pre-date" href="mailto:[email protected]?subject=Preregistration for R for Data Science&body=I would like to preregister for the next R Bootcamp 'Statistics with R'.">tba | Preregister</a>
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<h4>Machine Learning with R</h4>
<p class="text-muted" style="margin-bottom:2px;font-size:1.2em">990CHF @ Uni Basel</p>
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<h4 style="padding:0px;margin:0px">R for Data Science</h4>
<p class="item-intro text-muted">Learn Data Science with R from the ground up</p>
<a class="date" href="https://advancedstudies.unibas.ch/courses/course/r-for-data-science-208287#collapsible-heading-anmeldung">Aug 24/25 | Register</a><br><a class="pre-date">Nov 9/10 | Preregister</a>
<br><br>
<p class="head">Learning objective</p>
<p class="text-muted entry">This course teaches you the basics of the R language and the Rstudio environment, how to load data from various external files types, including .csv, .excel, .sav, how to clean, organise, and explore data, how to conduct basic statistical analyses and, finally, how to create striking visualisations.</p>
<p class="head">Prerequisites</p>
<p class="text-muted entry">There are no strict knowledge prerequisites for this course. Prior experience with a programming language (e.g.; R, Python, SAS), as well as an introductory course in statistics, is helpful but not necessary. Participants are requested to bring their own laptop with software installation rights.</p>
<p class="head">Details</p>
<table class="text-muted entry" cellspacing="0" cellpadding="0">
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<td class="elem">Times</td>
<td>2-day course: Sat-Sun, 9am-6pm</td>
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<tr>
<td class="elem">Location</td>
<td><a href="https://advancedstudies.unibas.ch/courses/course/r-for-data-science-208287">Advanced Studies</a> - University of Basel <a href="https://www.google.com/maps/place/Advanced+Studies+der+Universit%C3%A4t+Basel/@47.5542123,7.5852195,15z/data=!4m5!3m4!1s0x0:0x1b8cefd9e51f9e3c!8m2!3d47.5542123!4d7.5852195"><i class="fas fa-map-marker-alt"></i></a></td>
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<td class="elem">Class</td>
<td>Max. 14 students</td>
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<tr>
<td class="elem">Price</td>
<td>990CHF</td>
</tr>
</table>
<p class="head">Schedule & Materials <font style="font-size:10px">(Feb, 2019)</font></p>
<table class="text-muted entry schedule" cellspacing="0" cellpadding="0">
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<th></th>
<th>Day 1</th>
<th>Day 2</th>
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<tr>
<td class="time">0900</td>
<td><a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/Welcome/Welcome.html">Welcome</a></td>
<td><a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/Recap/Recap.html">Recap</a></td>
</tr>
<tr>
<td class="time">0930</td>
<td><a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/IntroToR/IntroToR.html">Intro to R</a></td>
<td><a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/Analysing/Analysing.html">Analysing</a> <a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/Analysing/Analysing_practical.html">+</a></td>
</tr>
<tr>
<td class="time">1200</td>
<td>Lunch</td>
<td >Lunch</td>
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<tr>
<td class="time">1300</td>
<td><a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/Wrangling/Wrangling.html">Data</a> <a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/Data/Data_practical.html">+</a></td>
<td><a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/Plotting/Plotting.html">Plotting</a> <a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/Wrangling/Wrangling_practical.html">+</a></td>
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<td class="time">1530</td>
<td><a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/Wrangling/Wrangling.html">Wrangling</a> <a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/Plotting/Plotting_practical.html">+</a></td>
<td><a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/CaseStudies/CaseStudies.html">Case studies</a>: <a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/CaseStudies/Clinical_Data_Case_Study.html">I</a>, <a href="https://therbootcamp.github.io/R4DS_2019Feb/_sessions/CaseStudies/Financial_Data_Case_Study.html">II</a></td>
</tr>
<tr>
<td class="time">1745</td>
<td>Wrap-up</td>
<td>Apero</td>
</tr>
</table>
<p class="head">Key packages</p>
<table class="text-muted entry" cellspacing="0" cellpadding="0">
<tr>
<td class="elem"><a class="pckg" target="_blank" href="http://cran.r-project.org/package=tidyverse">tidyverse</a></td>
<td>A collection of cutting-edge Data Science packages prominently including <a class="pckg" target="_blank" href="http://cran.r-project.org/package=readr">readr</a>, <a class="pckg" target="_blank" href="http://cran.r-project.org/package=dplyr">dplyr</a>, and <a class="pckg" target="_blank" href="http://cran.r-project.org/package=ggplot2">ggplot2</a>.</td>