Intro to Social Data Science 2023

Guide to preparations It is necessary that you plan enough time to prepare for the course. We expect that, depending on your prior experience, you have spent up to 50 hours on learning basic Python and pandas before we begin teaching. In particular you should do the following (prioritized order): Install anaconda and other software Open the Assignment 0 notebook. See this guide on how to open and use a notebook [Read More]

This post contain practical information related to each of the three assignments. Check back later for news about deadlines and other assignment related information. All assignments must be handed via Absalon here.

Assignment 0: Available June 28. Deadline July 27 @ 12.00

Assignment 1: Available August 2. Deadline August 4 @ 23.59

Assignment 2: Available August 8. Deadline August 11 @ 23.59

This class will involve a lot of coding, for which you will need some basic tools. Python, Jupyter Notebook and JupyterLab A git client A github account We will discuss these tools in much more detail in class, so don’t worry if this is all new and perhaps a bit frightening right now. Python, Jupyter Notebook and JupyterLab Python is a free programming language. We will use the distribution called Anaconda as it comes with the most essential for working with data, statistical computing and visualizations. [Read More]

This post provides a short intro on picking up useful Jupyter hacks. We begin with a short overview of the most essential Jupyter shortcuts and skills. If you have not read the introduction to Jupyter you should do that immediately, see here. Keyboard short cuts Editing and executing cells enter edit mode: click inside the cell or press ENTR exit edit mode: click outside cell or press ESC. executing code within a cell is SHFT+ENTR or CTRL+ENTR (not the same! [Read More]

When the teaching in our course finishes, you are to hand in a project. The formal requirements are found here along with details on grading. The exam period runs until August 23, 2023, at 10 AM. In this blog post we want to expand a little bit on how a good project will look. The goal of the project is to pose an interesting question and attempt to answer it by collecting publicly available data. [Read More]