Online training course run by the Data Science Academy, AstraZeneca, Cambridge (UK)
Gabriella Rustici, Sergio Martínez Cuesta, Leo Souliotis, Katarzyna Nurzynska, Michał Oziębło, Daniel Roythorne, Samuel Lewis, Caterina Darcy
| Week | Title | Activity | Materials | Trainer |
|---|---|---|---|---|
| 0 | Troubleshooting software installations | preparation | Introduction and installations | all |
| 0 | Basic Python concepts and functions | preparation | Materials | all |
| 0 | Basic Python concepts and functions | preparation | Solutions | all |
| 1 | Data handling | Lecture | Materials | JB |
| 1 | Data handling | Recap | Solutions | JB |
| 2 | Data visualisation | Lecture | Materials | JB |
| 2 | Data visualisation | Recap | Solutions | JB |
| 3 | Key concepts in statistics and machine learning | Lecture | Materials | LS |
| 4 | Data analysis and modelling | Lecture | Materials | LS |
| 4 | Data analysis and modelling | Recap | Solutions | LS |
| 5 | Introduction to Machine Learning - part 1 | Lecture | Materials | MO |
| 5 | Introduction to Machine Learning - part 1 | Recap | Solutions | MO |
| 6 | Introduction to Machine Learning - part 2 | Lecture | Materials | MO |
| 6 | Introduction to Machine Learning - part 2 | Recap | Solutions | MO |
| 7 | Networks and Knowledge Graphs | Lecture | Materials | KN |
- Data Science in Python by Data Science Academy at AstraZeneca:
- The University of Cambridge Introduction to Python course
- The University of Cambridge Data Science in Python course
- Data Carpentry Python lessons
- The CRUK-CI Introduction to R during COVID-19 course
- Python pandas documentation