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R Bootcamps About Us Upcoming


R Bootcamps

Learn Data Science from experienced R instructors and developers in a learning-friendly environment. We will show you the latest tools and techniques to discover and communicate insights from data, making you ready for the data revolution.

Our courses teach the full spectrum of data science with R in in-depth, hands-on courses for beginners, academics, and industry professionals. We cover statistical analysis and machine learning. We show you how to make elegant, informative data visualizations for data both big and small. We introduce you to some of R's most efficient libraries for data analysis and tools to write transparent, reproducible reports.

Feel free to explore the materials of our LATEST COURSE.

Essentials.

rlogo
Get to know the R and RStudio environment. Load your data into R and do basic manipulations.

Analysis.

ttest
Descriptive and inferential statistics. Applied machine learning and statistical prediction.

Visualisation.

ttest
Publication-ready visualisations for small and big data. Interactive websites with Shiny.

Productivity.

ttest
Speed up your code. Write and share reproducible code and reports using R Markdown.



R Bootcamps

Learn Data Science from experienced R instructors and developers in a learning-friendly environment. We will show you the latest tools and techniques to discover and communicate insights from data, making you ready for the data revolution.

Our courses teach the full spectrum of data science with R in in-depth, hands-on courses for beginners, academics, and industry professionals. We cover statistical analysis and machine learning. We show you how to make elegant, informative data visualizations for data both big and small. We introduce you to some of R's most efficient libraries for data analysis and tools to write transparent, reproducible reports.

Feel free to explore the materials of our LATEST COURSE.

Essentials.

rlogo
Get to know the R and RStudio environment. Load your data into R and do basic manipulations.

Statistics.

ttest
Descriptive and inferential statistics. Applied machine learning and statistical prediction.

Visualisations.

ttest
Publication-ready visualisations for small and big data. Interactive websites with Shiny.

Productivity.

ttest
Speed up your code. Write and share reproducible code and reports using R Markdown.



Upcoming Bootcamps

Applied Machine Learning with R

Basel. 19/20 January 2019. 2-day course. At Advanced Studies, University of Basel.
Maximum: 15 students. Registration Fees: 1,490CHF.
9 spots left. → Learn more.
Register here!

Basel
source: towardsdatascience.com

Statistics with R

Basel. February/March 2019 (tba). 2-day course. At Advanced Studies, University of Basel. Maximum: 15 students. Registration Fees: 1,490CHF.
13 spots left.
Preregister here!

Basel
source: lynda.com

Introduction to Data Science with R

Basel. February/March 2019 (tba). At Advanced Studies, University of Basel.
Maximum: 20 students. Registration Fees: 1,190CHF.
19 spots left. → Learn more.
Preregister here!

Basel
source: careeranna.com



Past Bootcamps

Bootcamps

October 2018
Schedule and Materials

July 2018
Schedule and Materials

June 2018 @ Erfurt
Schedule and Materials

April 2018
Schedule and Materials

You really deserve all compliments: for presentation, for teaching, for your help and last but not least and friendly attitude. The course was above my expectations! The material presented was hands-on and up-to-date!
Stefan, Senior Risk Modeller & Researcher

I learned from the basics to really cool stuff like interactive plots. Right after the bootcamp I decided to move fully into R. Really great bootcamp!
Edgar, Associate Professor

Every participant will have found something he or she could relate to, be it statistics, visualizations, presentations or web apps. It certainly made me want to take my computer and get cracking right away!
Johan, Analyst

Learning R at TheRBootcamp has offered me [...] the feeling of staying relevant in the changing finance industry
Irena, Credit Officer



About Us

We Teach R.

We are Dr. Dirk Wulff and Dr. Nathaniel Phillips, two data scientists who have jointly spent over 20 years doing data science with R for both research and industry applications. We founded The R Bootcamp out of our passion for teaching and communicating R. We have taught dozens of courses in R and statistics at the Bachelor’s and PhD level, and have written the free, online e-book YaRrr! The Pirate’s Guide to R. We are active R developers and have written several R packages including cstab, mousetrap, yarrr, and FFTrees.

If you have any questions don't hesitate to send us a message. To stay in touch and learn about the latest courses, sign up for our mailing list.

Team.

Dirk
Dr. Dirk Wulff

Dirk is a researcher at the University of Basel and the Max Planck Institute for Human Development, Berlin, specialising in decision science and mathematical models of cognition. He is an expert on big data applications in the behavioral sciences using R, Python, and C++.

Nathaniel
Dr. Nathaniel Phillips

Nathaniel is a data and decision scientist who specialises in machine learning, statistical inference, and the R programming language. Currently, he is a data scientist at Roche, where he leverages big data, machine learning, and visualisations to further the vision of personalised health care.

Markus
MSc Markus Steiner

Markus is a PhD student at the University of Basel. He studies risky decisions and specialises in building computational and statistical models of human cognition, using these to predict and improve real life decisions.

Dirk
Dr. Dirk Wulff

Dirk is a researcher at the University of Basel and the Max Planck Institute for Human Development, Berlin, specialising in decision science and mathematical models of cognition. He is an expert on big data applications in the behavioral sciences using R, Python, and C++.

Nathaniel
Dr. Nathaniel Phillips

Nathaniel is a data and decision scientist who specialises in machine learning, statistical inference, and the R programming language. Currently, he is a data scientist at Roche, where he leverages big data, machine learning, and visualisations to further the vision of personalised health care.

Markus
MSc Markus Steiner

Markus is a PhD student at the department for Cognitive and Decision Science, University of Basel. He studies risky decisions and specialises in building computational models of human cognition, using these to predict and improve real life decisions.


Contact Us

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