Basel R Bootcamp
Short Course

R is one of the most popular and fastest growing languages for statistical analyses and predictive anayltics. Unlike proprietary software such as SPSS, SAS, and MatLab, R is free, open source, and has an huge community of developers. For these reasons, R is often the programming language of choice for academic research and industry titans such as Google, Apple and Facebook. In this course, you will learn R from the ‘ground-up’ in an intensive 4-day course covering 4 different modules. In the first module, you will learn the basics of the R language, from loading external data as new objects, to doing basic calculations, to loading new packages. In the second module, you will learn an overview of R’s most common statistical functions and packages, from basic descriptive statistics, to hypothesis tests such as t-tests, ANOVA and regression, to Bayesian statistics and advanced machine learning algorithms. In the third module, you will learn how to make elegant, modern data visualisations, from histograms, barplots and scatterplots, to network plots and maps, to interactive web-based visualizations with Shiny. Finally, in the fourth module, you will learn how to write clearly structured and efficient code, supplemented with C++ and parallel functions, how to write and share reproducible documents with R Markdown, and how to share your code on popular code sharing platforms such as GitHub and the Open Science Framework.

Each course day will contain a series of short lectures and examples to introduce you to new topics. The bulk of each day will be dedicated to hands-on exercises to help you ‘learn by doing’. All course materials, tutorials, examples, exercises, and solutions will be available online for you to view at any time before, during, and after the course. You only need to bring a laptop with software installation rights.

This course is designed for anyone who wants to learn R to work with data, either in an academic or industry setting. No prior programming experience required. We are happy to tailor material to the needs of the group.

  • Dr. Nathaniel Phillips, PhD
  • Dirk Wulff, PhD

CHF 1,590.-
Minimum number of students 10
Maximum number of students 15

Course starts on:
Saturday, 07.04.2018
Course ends on:
Sunday, 15.04.2018

Saturdays and Sundays, 7, 8, 14, 15, April 2018; course times of 9:30 am to 6:00 pm

Department of Psychology, University of Basel

Certificate of attendance by the University of Basel, Advanced Studies. 1 ECTS

Fields marked with * are mandatory

Location

Advanced Studies Steinengraben 22, 4051 Basel

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