Schedule and Course Material
The course runs for a duration of seven weeks. Each week consists of an energizing kickstarter, material for self-study, a tutorial, and exercises/activities. Gradually, you will develop your coding skills, enabling you to work productively on your team project.
Click on each course week for details.
- Please always bring a laptop to class. Lectures and tutorials are not scheduled in computer rooms, but you require a computer to follow the classes.
- The course material is based on Boegershausen et al. (2022), “Fields of Gold: Scraping Web Data for Marketing Insight”. Study the paper and apply its learnings throughout. Visit the paper’s companion website for extra material.
| Course week | Date | Time | Location | Content |
|---|---|---|---|---|
| Week 0 | Preparation before the course starts | |||
| Week 1 | Wed 1 Feb | 8.45-11.30 | On campus | Getting started with Python & web data |
| Week 2 | Thu 9 Feb | 12.45-14.30 | On campus | Tutorial: Web scraping for dummies |
| Week 3 | Mon 13 Feb | 10.45-12.30 | Online | Team coaching #1 |
| Thu 16 Feb | 12.45-14.30 | On campus | Tutorial: Web scraping 101 | |
| Week 4 | Mon 27 Feb | 10.45-12.30 | Online | Team coaching #2 |
| Thu 2 Mar | 12.45-14.30 | On campus | Tutorial: APIs 101 | |
| Week 5 | Thu 9 Mar | 12.45-15.30 | On campus | Team coaching #3 & Coding camp |
| Week 6 | Mon 13 Mar | 10.45-12.30 | Online | Team coaching #4 |
| Thu 16 Mar | 12.45-14.30 | On campus | Team coaching #5 | |
| Week 7 | Mon 20 Mar | 10.45-12.30 | Online | Team coaching #6 |
| Fri 24 Mar | 12.45-14.30 | On campus | Course summary and exam preparation |
Tips
- We recommend you view the schedule (and associated rooms) in Tilburg University’s MyTimetable.
- Login credentials for the live streams will be made available on the Canvas page of this course for students from Tilburg University, and via email to remaining students.
- If recordings are made, you will find them on Hannes’ YouTube channel. Subscribe to it now to stay up-to-date!
- If code is shared, you will typically find it on Hannes’ GitHub Gists.