Doing quantitative research can be a hassle: collecting, analyzing and interpreting your data. We are here to help! Together with Turing Students Rotterdam, we are organizing an R-training. During these training sessions, we will introduce you to R and guide you through all the steps needed to process your data. There will be a total of three training sessions and a part that needs to be completed at home before the training kicks off.
This session needs to be completed at home. The introduction will teach you the fundamentals of R as a statistical modeling language. Further, you will learn about factors, matrices and data frames.
Session 1 - (Monday 25th March 15:00 – 18:00)
During this session, we start by explaining how you can set up projects and install packages. You will learn how to load, explore and preprocess data. We will end with some visualization techniques, like scatterplots, histograms and boxplots, that offer clear insights into your data and will help you understand the problems better.
Session 2 – (Monday 1st April, 15:00 – 18:00)
During the second session you will be learning more about statistical models and tools like the t-test, linear regressions and ANOVA in R. After this session, you are able to perform these before mentioned methods, and have the resources and knowledge to apply other comparable methods.
Session 3 – (Friday 12th April, 9:00 – 12:00)
During the last session we will dive deeper into specific regression based and machine learning models. Topics include choice models, classification and clustering models and there will be room to cover additional models suggested by the participants.
Do you want to rock your thesis? Or do you just want to learn how R works? Sign up by clicking here. Be sure to register quickly as spots are limited!
- Session 1 - Monday 25th March 15:00 – 18:00
- Session 2 – Monday 1st April, 15:00 – 18:00
- Session 3 – Friday 12th April, 9:00 – 12:00
Where: Campus (rooms TBA)
Application deadline: 22th of March 23.59h, 2019
If you have any questions, send an email to email@example.com