Data Analysis in R: Basics and Beyond
In a rapidly changing (professional) context, lifelong learning has become a must. With microcredentials Ghent University offers a new type of course for a broad group of lifelong learners.
Practical information:
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Microcredentials are short academic programmes that meet the high quality standards of Ghent University. Both in terms of content and practice, the development of a microcredential is primarily focused on the needs of professionals and lifelong learners. The focus of the programme is on a well-defined set of learning outcomes. They consist of a limited number of subjects to which credits are linked. For following a microcredential, your learning account will be used . If you successfully complete the programme, you will receive credit certificates for the individual subjects and a recognised certificate that offers clear added value for professionals and employers. Microcredentials are organised by the 'academies for lifelong learning' of Ghent University.
This microcredential comprises two modules of this year's course program in Data Analysis:
- Module 2 - Getting Started with R Software for Data Analysis
- Module 6 - Leverage your R Skills: Data Wrangling, Plotting & Reporting
Final Competences of the Study Programme
To be able to perform a data-analysis in R:
- To import data in different formats, converting to a data structure that is consistent with the data base design and facilitates the required analyses, with corresponding data types;
- To calculate new variables;
- To select and program plot types and tables to inspect and present relevant aspects of the data;
- To perform and present the output of basic statistical tests;
- To code efficiently and transparently (basic use of loops and user-defined functions, avoid hard-coding).
Teachers / speakers
Dr. Limin Liu is a postdoc researcher at the Center for Statistics at Ghent University. She studied social work and sociology in Beijing and Berlin where she has accumulated several years of empirical research experience in the field of sociology of eduction, social mobility and stratification. Upon her social science research experience, she achieved a Master in Statistical Data Analysis at Ghent University. Since 2019, she has joined the team of statistician consultants and focused on both qualitative and quantitative research methods. She is also teaching for FLAMES and ICES in many qualitative and quantitative data analysis software courses.
Dries Reynders studied Physics and Statistical Data Analysis at Ghent University. As a consultant for Stat-Gent, he has experience with a wide range of statistical methods and with clearly and efficiently communicating and reporting the results to varying audiences.