INFOMDWR
Materials for Applied Data Science course INFOMDWR
Data Wrangling and Data Analysis
This webpage contains all materials required for the Applied Data Science course INFOMDWR.
The materials on this website are CC-BY-4.0 licensed.
Syllabus
You can find the course syllabus as a web page here or as a pdf here. The course schedule with required reading materials is in the syllabus as well, specifically here.
Lectures
| Week | Date | Topic |
|---|---|---|
| 1 | 2024-09-05 | Introduction to the course |
| 1 | 2024-09-06 | Data models |
| 2 | 2024-09-09 | Data extraction with SQL |
| 2 | 2024-09-10 | Integrity constraints in databases |
| 2 | 2024-09-11 | Functional dependency |
| 3 | 2024-09-16 | Indexing & data integration |
| 3 | 2024-09-17 | Hetero. data analysis & string similarity |
| 3 | 2024-09-18 | Data extraction in Python |
| 4 | 2024-09-23 | Data preparation 1 |
| 4 | 2024-09-24 | Data preparation 2 |
| 4 | 2024-09-25 | Data visualization |
| 5 | 2024-09-30 | Exploratory data analysis |
| 5 | 2024-10-01 | Supervised learning: Regression |
| 5 | 2024-10-02 | Q&A |
| 6 | 2024-10-07 | Supervised learning: model evaluation |
| 6 | 2024-10-08 | Supervised learning: classification |
| 6 | 2024-10-09 | Deep learning |
| 7 | 2024-10-14 | Missing data 1: Mechanisms |
| 7 | 2024-10-15 | Missing data 2: Solutions |
| 7 | 2024-10-16 | Clustering |
| 8 | 2024-10-21 | Model-based clustering |
| 8 | 2024-10-22 | Text mining 1 |
| 8 | 2024-10-23 | Text mining 2 |
| 9 | 2024-10-28 | Time series |
| 9 | 2024-10-29 | Data streams |
| 9 | 2024-10-30 | Algorithmic fairness |
| 10 | 2024-11-05 | No lecture: study time |
| 10 | 2024-11-06 | Q&A |
Labs
Deadlines
| Week | Date | Topic |
|---|---|---|
| 4 | 2024-09-23 | 10:00AM assignment 1 |
| 5 | 2024-10-04 | Midterm exam |
| 6 | 2024-10-07 | 10:00AM assignment 2 |
| 8 | 2024-10-21 | 10:00AM assignment 3 |
| 10 | 2024-11-04 | 10:00AM assignment 4 |
| 10 | 2024-11-08 | Final exam |
| 10 | 2025-01-06 | Resit exam |