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AI Training · Visian

Learning objectives

By the end of the day

  • Spot weak signals in a dataset faster
  • Formulate hypotheses and test them with AI
  • Turn an analysis into actionable insights

Programme

Course outline

  1. Frame an assisted exploratory analysis
  2. Detection of patterns, anomalies and correlations
  3. Formulating and testing hypotheses
  4. From analysis to actionable recommendation
  5. Workshop on a participants' dataset

Audience and prerequisites

Who it is for

Audience: Data Analysts, business analysts

Prerequisites: Data analysis basics. Occasional use of a GenAI tool.

Practical details

Format and funding

  • On-site or remote, open sessions or in-house.
  • 100% hands-on, on real cases brought by participants.
  • Assessment of learning and certificate of completion.
  • Qualiopi-certified training body: course eligible for OPCO funding.

This module is part of the Visian AI Training programme : 6 roles, 21 modules, taken individually or as a track.

Train a team on this module?

Programme adapted to the team's context and tools, in-house or in open sessions.

Request this training →