Schedule
The course takes place each Wednesday 12:00 – 13:40 in L11, except 17. 4. (reading week), 1. 5. and 8. 5. (holidays).
| Lecture | Date | Topics | Notes |
|---|---|---|---|
| 1. | 21. 2. | Introduction and Tidy data | Example script |
| 2. | 28. 2. | Basic coding in R | Dataset |
| 3. | 6. 3. | Visualization and summary of distributions | Dataset |
| 4. | 13. 3. | Visualization and summary of relationships | Dataset & Script |
| 5. | 20. 3. | Normal distribution & data manpulation with dplyr |
Dataset |
| 6. | 27. 3. | Presenting data sets for projects & Practice | |
| 7. | 3. 4. | Considering space | Dataset (lasoles) & Solution |
| 8. | 10. 4. | Considering time | Dataset (datations) |
| - | 17. 4. | Reading week | Individual consultations of projects |
| 9. | 24. 4. | Distances & Custering | Dataset (dart points) |
| - | 1. 5. | Holidays | |
| - | 8. 5. | Holidays | |
| 10. | 15. 5. | Dimensionality reduction: Correspondence analysis | |
| 11. | 22. 5. | Reproducibility & Table transformations |