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Course Recommendations

All courses in the GESIS Fall Seminar are stand-alone and can be booked separately – feel free to mix and match to build your own personal Fall Seminar experience! Below, you can find some of our recommendations for possible course sequences. 

If you are starting from scratch and would like to go from zero to hero in Computational Social Science with either R or Python, we suggest taking one of these course sequences:


For participants looking to expand their toolbox and workflows for handling and analyzing digital behavioral data, we recommend the following courses:


If you are planning to collect and analyze your own digital behavioral data, have a look at these courses:


In case you are interested in working with large amounts of visual or textual data, you might want to combine:


If you want to study social networks, you might find these two courses interesting:


If you need any advice on which course(s) might be the right one(s) for you, please do not hesitate to contact us. We’re happy to help!