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:

• Week 0 (05-07 Sep): Introduction to R (online workshop)
• Week 1 (11-15 Sep): Introduction to Computational Social Science with R
• Week 2 (18-22 Sep): Automated Web Data Collection with R
• Week 3 (25-29 Sep): Social Network Analysis with R

• Week 0 (04-06 Sep): Introduction to Python (online workshop)
• Week 1 (11-15 Sep): Introduction to Computational Social Science with Python
• Week 2 (18-22 Sep): Automated Web Data Collection with Python
• Week 3 (25-29 Sep): Introduction to Machine Learning for Text Analysis with Python

If you are planning to collect and analyze your own text data from the web, have a look at these courses:

• Week 2 (18-22 Sep): Automated Web Data Collection with R or Automated Web Data Collection with Python
• Week 3 (25-29 Sep): Introduction to Machine Learning for Text Analysis with Python or From Embeddings to Transformers: Advanced Text Analysis with Python

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

• Week 1 (11-15 Sep): Big Data and Computation for Social Data Science
• Week 2 (18-22 Sep): Automated Image and Video Data Analysis with Python or Week 3 (25-29 Sep): Introduction to Machine Learning for Text Analysis with Python or Week 3 (25-29 Sep): From Embeddings to Transformers: Advanced Text Analysis with Python

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

• Week 2 (18-22 Sep): Automated Web Data Collection with R
• Week 3 (25-29 Sep): Social Network Analysis with R

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!