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Data Science in Python
Venue
Online training course run by the Data Science Academy, AstraZeneca, Cambridge (UK)
Trainers
Gabriella Rustici, Sergio Martínez Cuesta, Leo Souliotis, Katarzyna Nurzynska, Michał Oziębło, Daniel Roythorne, Samuel Lewis, Caterina Darcy
Course structure and links
| 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 |
References
- 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