With increasing migration to Western Europe, inclusion and integration have become important topics. This course will provide you with insights into relevant issues on the topic of migrant inclusion in a digitalized society
The aim of the course 'Data Science with R and Rstudio' is to learn and experience working with the software through explanations and exercises which will extend in several relevant areas of working with R and Rstudio for statistics.
This Python course is specially designed for social scientists who have little or no programming experience. The course focuses on hands-on exercises and practical tips to get you started in the world of Python.
During this course you will learn about various techniques of machine learning and how R and Rstudio can be used to perform both supervised and unsupervised techniques of this specific type of learning.
This course uses a wide variety of real datasets to discuss issues from collection through modelling to interpretation and conclusions. Concepts for handling uncertainty are developed into powerful statistical models
Join for a week-long journey into R programming for data analysis. From mastering R basics and data import to advanced skills in cleaning, visualization, and analysis, this course integrates theory with hands-on exercises.
The course covers the basics of programming in R. Besides that, it also covers working in RMarkdown, which allows you to generate an entire research paper with RStudio.
During this course you will be introduced to data analytics using the statistical program R. At the end of the course you will be able to use R independently for your own projects
Radboud University
