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Learn regression analysis using R in this immersive online course delivered by Daniel Kovarek. Gain practical skills to apply regression techniques, evaluate research, and interpret statistical findings effectively.
This course introduces you to regression analysis using R. You will explore the classical theory of Ordinary Least Squares (OLS) regression, along with non-linear regression techniques. Through the use of various data sets and models, you will gain an understanding of when and how regression can be valuable in policy analysis and other contexts.
The course is delivered using a combination of pre-course activities, live online interaction and post-class activities. An RStudio Cloud account will be provided for data and setup. Daily three-hour live sessions (on Zoom) will feature class discussions, Q&A, group exercises and tutorials on the application of regression analysis to political science questions.
You must have a basic understanding of probability. Basic knowledge of R would also be useful. If you don't have this knowledge, consider taking the Introduction to Inferential Statistics course.
3 ECTS credits awarded for engaging fully in class activities.
1 additional ECTS credit awarded for completing a post-course assignment.
Daniel Kovarek is a postdoctoral research fellow at the European University Institute. He studies political behaviour at the voter and the elite level; his expertise lies in the intersection of political geography and distributive politics. Within the context of the ERC SOLID project, he looks at how crises affect European integration using a variety of quantitative models. Daniel has been teaching a wide variety of graduate-level courses on applied statistics, research design and programming at Central European University and colleges of Corvinus University of Budapest. His research has appeared in Research & Politics, The ANNALS of the American Academy of Political and Social Science and Environmental Politics, among others.
We offer renowned training on quantitative and qualitative methods particularly salient in social science research.
We harness the know-how of leading methodologists to help you tackle your project with confidence.
Access pre-recorded lectures, annotated readings, exercises, and more – all in your very own digital environment.
Get quality interaction with your Instructor and fellow participants, with live sessions and smaller class sizes.
Registration is now open! Read the full course outline here, add the course to your basket and head to checkout.
Your space is not secured until your registration is paid in full.
Discover below what past participants have shared about their experiences.
'Extensive and practical'
The course is very comprehensive and covers a wide range of material and topics. The videos on the application on R studio and the code book are very useful and a valuable resource for our own research projects.
'Valuable knowledge'
I learned so much in this course, especially learning how to do all the analysis in R is extremely useful for me.
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