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Lectures

There are no formal lectures; the material is designed for self-study. However, I’ll be available for live demos and Q&A each week:

  • Mondays, 13:00–16:00 (on campus): Live demo of the previous week’s material, followed by time for questions and homework help. In past iterations of the course, these sessions have been very appreciated.
  • Thursdays, 13:00–16:00 (on Zoom): Open Q&A. Zoom link for Q&A

Bring your laptop. Parts of the sessions will be interactive, and following along will make the homework easier.

Room and location details are in the TimeEdit schedule: View the schedule

The code for all demos is available here: GitHub: su-mt4007/lecture-demos

Attendance at the live demos is not mandatory, but highly recommended—you’ll have direct access to me during these times. Use it!

Schedule

WeekDateTopic
1Mon, 2025-11-03, 13:00 - 16:00Reproducible Analysis with GitHub, Jupyter, and Functional Programming
Thu, 2025-11-06, 13:00 - 16:00Zoom Q&A
2Mon, 2025-11-10, 13:00 - 16:00DataFrames & Visualising Data with Plots
Thu, 2025-11-13, 13:00 - 16:00Zoom Q&A
3Mon, 2025-11-17, 13:00 - 16:00Exploratory Data Analysis (EDA) & Processing Data
Thu, 2025-11-20, 13:00 - 16:00Zoom Q&A
4Mon, 2025-11-24, 13:00 - 16:00Joining Data, SQL, and an Introduction to RegEx
Thu, 2025-11-27, 13:00 - 16:00Zoom Q&A
5Mon, 2025-12-01, 13:00 - 16:00Guest Lecturer, Pär Villner from Annalect
Thu, 2025-12-04, 13:00 - 16:00Retrieving Data from the Web (REST APIs & Web Scraping)
6Mon, 2025-12-08, 13:00 - 16:00On site Q&A
Thu, 2025-12-11, 13:00 - 16:00Zoom Q&A
7Mon, 2025-12-15, 13:00 - 16:00ZOOM Q&A
Thu, 2025-12-17, 13:00 - 16:00Zoom Q&A