Understanding Data with R: a hands-on workshop towards becoming a data-analyst (ONLINE COURSE)
Which companies are committing fraud? Which scientific hypothesis is correct? Do movie critics differ from regular consumers in their ratings? Whether it’s a fun or serious question, each of these questions require data to answer them. In this course, you will learn the two vital skills for using data to answer questions of interest: 1) data manipulation; 2) data analysis.
In this interactive two-week course, you will learn through interactive workshop-sessions how to manipulate datasets so that you can produce informative analyses and insightful data visualizations. Importantly, you will not only learn data analysis techniques, but also how to use these techniques to answer questions.
We will use the popular programming language called R to manipulate data, run statistical tests, and produce data visualizations. No prior programming knowledge is required, although some knowledge of statistics is preferred.
By completing this course, you will:
- Acquire an understanding of the role of data in answering research questions, both in academics and in industry;
- Gain a basic understanding of the statistical programming language R, using RStudio;
- Learn how to manipulate data (e.g., renaming variables, removing cases, combining datasets);
- Learn how to create beautiful and insightful data visualizations that are relevant for answering the research question;
- Learn how to conduct statistical analyses (e.g., descriptives, correlations, regression);
- Learn how to write a report that answers a research question using the data.
12 Jul 2021 - 23 Jul 2021
Bachelor / Undergraduate
Master / Graduate
|Program fee||900 EUR|
|Extra information about the
- 10% discount for current Tilburg University students*
- 10% discount for students from partner universities*
*Combining discounts is not possible
|Application deadline||13 June 2021|
For this course, please include a motivation letter in which you express the following:
- Your motivation for why you would like to participate in the course, including some expectations about the course and what you hope to get out of it
- Your experience with programming (also if you have no experience with programming)
- Your experience with statistics (e.g., do you know about t-tests, ANOVAs, regression?)
Admission to this course will be based your motivation letter.