Each lesson will include theory, demonstration, and practical exercises.
During exercise sessions, students are encouraged to work in pairs.
Students will be encouraged to strengthen their knowledge by practicing between lessons.
Goals
After following this course, participants
Requirements
Laptop (at least one per group).
Python and exercise environment installed (installation instructions will be provided before the course).
Participants
Max. 30 participants (15 exercise groups)
This workshop will take place weekly on Tuesdays
November 1st |
14h15 – 17h00 |
Introduction to Python |
November 8th |
14h15 – 17h00 |
Python II |
November 15th |
14h15 – 17h00 |
Working with data |
November 22nd |
14h15 – 17h00 |
Working with text (NLP) |
November 29th |
14h15 – 17h00 |
Web scraping |
December 6th |
14h15 – 17h00 |
AI and modeling |
December 13th |
14h15 – 17h00 |
Where to go from here |
Ireneu Pla is a data engineer specialised in artificial intelligence. He has a background in Computer Science, obtained at the Swiss Federal Institute of Technology (EPFL), and an interest in data taken early in his studies. He has worked in Switzerland and Singapore on innovation projects with startups, big companies, sports institutions, and the public sector.
PhD students of the Graduate Institute will be informed of each workshop by email. For any questions regarding registration to the workshop, please contact: emma.cranfield@graduateinstitute.ch