We are wrapping up this foundational course in social data science. We hope that you learned a lot. We want to present some paths to pursue going forward. The following could be of interest:
Topics in Social Data Science, the latest version here is an obvious choice where we go more into depth with text data and machine learning. We also learn about spatial and networks data.
We expect to offer a seminar in the spring about using machine learning in econometrics.
For the economists interested in learning about using Python for modelling then you should take a look at Introduction to programming and numerical analysis for Economists.
There are multiple courses at the computer science department in University of Copenhagen as well as at Technical University of Denmark, e.g. natural language processing and advanced machine learning courses.
Online there are many great resources for looking at deep learning (i.e. extensions of neural networks) and much more.