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David Loughlan: How to get hired in analytics
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Professor David Sumpter
1. Using large language models for scouting
Professor David Sumpter
2. Modelling player movements
Professor David Sumpter
3. Predicting transfer values between leagues
Jernej Flisar
4. Using data in set piece analysis
Ágúst Pálmason Morthens
5. Manager recruitment
Professor David Sumpter
6. Build your own language agent
Dominic Jordan
7. Data skills for the modern game
Nicole Kozlova
8. Setting up your environment
Professor David Sumpter & Dimitris Markou
9. AI Automated Opposition Analysis
David Sumpter & Ida Höglund Persson
10. Quantifying your game model
Nicole Kozlova
11. Data from a player's perspective
Dominic Jordan
12. How to make your CV stand out
Ana Beatriz Macedo
13. Data basics
Lars Ekman
14. Software engineering for language models
Luis Mosquera Toscano
15. Power BI in football
Vosse de Boode
16. Building trust in analytics in the age of AI
Paul Power
17. Modelling sports as graph neural networks
Pegah Rahimian
18. How deep learning understands style, space and decision-making
Dave Carolan
20. Physical Data Masterclass
Luis Mosquera Toscano & David Sumpter
21. Python pitfalls and how to avoid them
Dimitris Markou
22. Adding context to measuring player performance
Folkert Boer
23. How Feyenoord's football department works as one
Read more
Data Analytics
Folkert Boer: How Feyenoord’s football department works as one
Data Analytics
Dimitris Markou: Adding context to measuring player performance
Data Analytics
Luis Mosquera Toscano & David Sumpter: Python pitfalls and how to avoid them
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