TheRBootcamp Learn Data Science with R

→ Upcoming Bootcamps
We Teach R Upcoming Team


We teach R

We are Basel-based data scientists who have jointly spent over 30 years doing data science with R for both research and industry. We founded The R Bootcamp out of our passion for R and Data Science. Our Team of like-minded R enthusiasts hosts public and in-house Data Science courses around Switzerland and Germany. Our goal is to help you learn the skills needed to discover and communicate insights from data and join the data revolution.

In association with the Advanced Studies, University of Basel, we continuously offer three standalone, complementary courses. For beginners with no R or other programming experience we recommend to first complete R for Data Science. For detailed course description see Upcoming Bootcamps.

R for Data Science
Learn the basics of R and how to use it to explore, manipulate, and visualize data.
Statistics with R
Learn to derive actionable analytics from data using statistical inference in R.
Machine Learning with R
Learn about the power of Machine Learning and how to employ it with R.

Our courses are composed of short, interactive presentations and longer hands-on practicals, during which you will work through step-by-step exercises designed to make you an active user of R. For every 5 participants there will be 1 instructor to ensure personalized support catering to your specific level and needs. Feel free to explore our open materials of our latest and previous courses. If you have any questions don't hesitate to send us a message. To learn about the latest courses, sign up for our mailing list.



We teach R

We are Basel-based data scientists who have jointly spent over 30 years doing data science with R for both research and industry. We founded The R Bootcamp out of our passion for R and Data Science. Our Team of like-minded R enthusiasts hosts public and in-house Data Science courses in Switzerland and Germany. Our goal is to help you learn the skills needed to discover and communicate insights from data and join the data revolution.

In association with the Advanced Studies, University of Basel, we continuously offer three standalone, complementary courses. For beginners with no R or other programming experience we recommend to first complete R for Data Science. For detailed course description see Upcoming Bootcamps.

R for Data Science
Learn the basics of R and how to use it to explore, manipulate, and visualize data.
Statistics with R
Learn to derive actionable analytics from data using statistical inference in R.
Machine Learning with R
Learn about the power of Machine Learning and how to employ it with R.

Our courses are composed of short, interactive presentations and longer hands-on practicals, during which you will work through step-by-step exercises designed to make you an active user of R. For every 5 participants there will be 1 instructor to ensure personalized support catering to your specific level and needs. Feel free to explore the open materials of our latest and previous courses. If you have any questions don't hesitate to send us a message. To learn about the latest courses, sign up for our mailing list.







Upcoming Bootcamps

R for Data Science
Hosted by Advanced Studies, University of Basel.
Max. 14 spots. Registration Fees: 1,190CHF.
→ Course description.

Aug 24/25 | Register Nov 9/10 | Preregister
Statistics with R
Hosted by Advanced Studies, University of Basel.
Max. 14 spots. Registration Fees: 1,490CHF.
→ Course description.

Sep 7/8 | Register
Machine Learning with R
Hosted by Advanced Studies, University of Basel.
Max. 14 spots. Registration Fees: 1,490CHF.
→ Course description.

Oct 5/6 | Preregister


Past Bootcamps

Bootcamps

[ML2] May 2019
Schedule and Materials

[St2] April 2019
Schedule and Materials

[DS2] February 2019
Schedule and Materials

[ML2] January 2019
Schedule and Materials

[DS2] October 2018
Schedule and Materials

[DS4] July 2018
Schedule and Materials

[DS4] April 2018
Schedule and Materials

A perfect course if you would like to get a good understanding about machine learning and how to apply it in R. The course covers the most important topics regarding machine learning and is very well organized. In the end you will be able to create meaningful machine learning models, to evaluate and to optimize them. The lecturers are enthusiastic about the topic and explained everything in an understandable way. Frederik, Senior Consultant

Many thanks for the excellent course, I really learnt a lot. the documents were super useful and the examples really interesting. In addition you guys were all awesome, super helpful, engaging and the atmosphere was really stimulating.
Bruno, Head of Clinical Development

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



Team

Dirk
Dr. Dirk Wulff
Founder
    

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++. He is an active R developer having authored the packages cstab, memnet, mousetrap.

Nathaniel
Dr. Nathaniel Phillips
Founder
  

Nathaniel is a data and decision scientist who specialises in machine learning, statistical inference, and R. 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. He has authored the free, online e-book YaRrr! The Pirate’s Guide to R and the R packages yarrr, and FFTrees.

Markus
MSc Markus Steiner
Team Basel
    

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.

Michael
Dr. Michael Schulte-Mecklenbeck
Team Bern
  

Michael is a senior lecturer for methodology at the department of Business Administration, University of Bern. His research focuses on human decision processes, eye-tracking and real world traffic behavior. He is an experienced user of R and organises the BernR meetup.

Dirk
Dr. Dirk Wulff
Founder
    

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++. He is an active R developer having authored the packages cstab, memnet, mousetrap.

Nathaniel
Dr. Nathaniel Phillips
Founder
  

Nathaniel is a data and decision scientist who specialises in machine learning, statistical inference, and R. 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. He has authored the free, online e-book YaRrr! The Pirate’s Guide to R and the R packages yarrr, and FFTrees.

Markus
MSc Markus Steiner
Team Basel
    

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.

Michael
Dr. Michael Schulte-Mecklenbeck
Team Bern
  

Michael is a senior lecturer for methodology at the department of Business Administration, University of Bern. His research focuses on human decision processes, eye-tracking and real world traffic behavior. He is an experienced user of R and organises the BernR meetup.


Contact Us

Send us a message.
   
Join our mailing list.