Différences

Ci-dessous, les différences entre deux révisions de la page.

--- en:ddefidode2022 [2025/07/25 15:19] – [Bibliography] cpouet
+++ en:ddefidode2022 [2025/09/18 10:36] (Version actuelle) – [Course content] cpouet
@@ Ligne 10: / Ligne 10: @@
   * Language of instruction: French
   * Coordinator: tba
-  * Instructor(s): Marie Billaud-Friess, Michaël Chalamel (L'Oréal), Franck Chevalier (EY), Emmanuel Daucé, Christophe Pouet
+  * Instructor(s): Marie Billaud-Friess, Michaël Chalamel (L'Oréal), Franck Chevalier (EY), Emmanuel Daucé, Christophe Pouet, , Sitraka Forler (Post Luxembourg), Lirone Samoun (smartpush)
-  * //Last update 04/07/2022 by C. Pouet//
+  * //Last update 02/09/2025 by C. Pouet//
 ==== Brief description ====
 This course unit is divided into four parts:
-  * ** Statistical learning ** (24 hours) taught by Christophe Pouet.
+  * ** Statistical learning ** (30 hours) taught by Christophe Pouet.
-  * ** Python for data science ** (24 hours) taught by François Brucker and Emmanuel Daucé.
+  * ** Python for data science ** (18 hours) taught by François Brucker and Emmanuel Daucé.
   * ** Advising using data ** (24 hours) taught by Michaël Chalamel and Franck Chevalier.
-  * ** Data Project: data sources and preprocessing ** (24 hours) taught by tba.
+  * ** Data Project: data sources and preprocessing ** (24 hours) taught by Sitraka Forler and Lirone Samoun.
 ==== Learning outcomes ====
@@ Ligne 46: / Ligne 46: @@
 === Python for data science===
    - Dataframe: data exploration and data description
-   - Spotting patterns using factor
+   - Recommendation systems (including KNN, PCA and SVD)
-     - Principal Component Analysis
+   - Data visualization (including maps, geopandas, ...)
-     - Correspondence analysis
-   - Prediction using trend analysis
-     - Linear regression
-     - Logistic regression
-   - Data classification
-     - Classification using partitions
-     - Hierarchical methods
 === Data-driven decision making===
    - What is data?