When does the course take place?
Start date: 30 september 2026
Please find below an overview of the course timings:
Day 1: Introduction to data science - on campus
Wednesday, 30 september 2026 - 9:30-16:30
- Python environment setup
- Phytion basics
- Data science workflow
- Core data structures
- Refresh Python in code editor
Day 2: Self-study & Q&A
Wednesday, 7 October 2026 - 9:30-15:30
- Loading CSV, excel & databases
- Missing values & duplicates
- Merging data with Pandas
Day 3: Exploration & Visualisation + Statistics for Data Science
Wednesday, 14 October 2026 - 09:30-15:30
- Matplotlib & Seaborn
- Line, bar, scatter, heatmaps
- NumPy, arrays & operations
- Descriptive statistics
- Correlation & covariance
- Data pre-processing
Day 4: Introduction to Machine Learning + Supervised and unsupervised learning part 1 & 2 - on campus
Wednesday, 21 October 2026 - 09:30-16:30
- Supervised vs unsupervised
- Scikit-learn fundamentals
- Linear logistics regression
- Decision trees & random forsests
- Model evaluation
- K-means clustering & PCA
- Neural networks
- Support vector machines
- Model tuning & valuation
Day 5: Capstone projects - on campus
Wednesday, 28 October 2026 - 09:30-16:30
- Final project presentations
- Certificate ceremony
- Q&A with instructors
The tuition fee for the programme is €2,750.
