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AccueilITS6 · UE6-DATA
DAT603

SAE Data

FR EN ⬇ PDF
RéférentKévin HOARAU
ECTS2
CM / TD / TP4 / 0 / 0
Typesae

Viable
Viable100%
Complète93%
Manque pour « complète »
  • Version EN relue

But du cours

Prepare, store, and analyze multidimensional data.

Acquis d'apprentissage visés

Process massive data using artificial intelligence techniques

Prérequis

  • Lecturers in DATA-related subjects and engineering tools
  • Data analysis professionals

Programme

A data science engineer must perform exploratory analysis to uncover the underlying structure of the data, focusing in particular on the elements of interest specified in the specifications.

The engineer must address privacy concerns and only include data deemed relevant and/or legally usable in their study. Deliverables include results, the methodology used, and must demonstrate that best practices have been followed.

Modalités d'évaluation

Skills will be assessed based on the elements provided in the deliverable, which will be specified in advance to the engineering students.

Bibliographie

  • Demonstration
  • Git repository
  • Documentation
  • Presentation

Supports

All documents used during teaching sessions or resources mobilized. If necessary, additional documentary references will be provided.