Orateur
Description
(23 seats available on a first-come, first-served basis)
Your experiments generate terabytes of measurements, simulations, and observations… yet these data often remain trapped in flat files: tedious parsing, limited sharing, frustrating sequential access.
What if you could turn raw data into structured information and solid knowledge with just a few queries?
This introductory course immerses you in the world of data structuration, relational databases and SQL – a true “intergalactic dataspeak” that is universal and timeless.
Blending historical perspective with hands-on practice, you will learn to:
• rigorously structure your data (normalization, keys, constraints)
• ask powerful questions with SELECT, JOIN, GROUP BY…
• optimize performance with indexes and understand what the engine is really doing
• avoid classic pitfalls that waste countless hours
No prior knowledge required. Designed for PhD students and early-career researchers across all scientific disciplines, this course provides the practical tools to move from frustrating files to reliable, fast, and scalable databases.
Master SQL: the essential skill that will stay with you throughout your scientific career. Join us!
