Université Catholique de Lille
Sitraka FORLEREnterprise System Architect

Data Analytics for Business, M2 International Management

Session 4

Predictive analytics for decision-makers

Thursday 7 January 2027, 13:00–16:00, on campus
Université Catholique de Lille, Campus Vauban, Lille

model complexityerrortrainingtestunderfitting ← | → overfitting
Figure 1: bias and variance, test error goes through a minimum, training error never comes back up.

Open the session

Each session has its own password, given in class. Capitals, spaces and hyphens do not matter. The slides are encrypted: nothing can be read without it.

In this session

  1. What a model learns
  2. Overfitting and leakage
  3. Errors have a price
  4. Milestone 3, in class
Session 19 December 2026Session 217 December 2026Session 37 January 2027Session 47 January 2027Session 58 January 2027Session 68 January 2027
Figure 2: the thread of the course; this session is highlighted.
SessionTitleDate
Session 1From data to decisions9 December 2026Open
Session 2Data visualisation and storytelling17 December 2026Open
Session 3SQL essentials for managers7 January 2027Open
Session 4Predictive analytics for decision-makers7 January 2027
Session 5Generative AI, governance and the EU AI Act8 January 2027Open
Session 6Capstone: pitch your insights8 January 2027Open

Table 1: the sessions of the course, in order; each one opens with its own password.