en:ddefiando2022

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en:ddefiando2022 [2024/07/26 11:26] – [Course metadata] cpoueten:ddefiando2022 [2024/07/26 11:31] (Version actuelle) cpouet
Ligne 11: Ligne 11:
   * Language of instruction: French   * Language of instruction: French
   * Coordinator: tba   * Coordinator: tba
-  * Instructor(s): Augustin Amann (S4M), Vincent Archer (S4M), Aurélien Poissonier (DGAFP), Nathan Rouff (Ekimetrics), Antoine Winckels (Air France)+  * Instructor(s): Augustin Amann (S4M), Vincent Archer (S4M), Aurélien Poissonier (DGAFP), Regis Chenavaz (Kedge BS), Antoine Winckels (Air France)
   * //Last update 26/07/2024 by C. Pouet//   * //Last update 26/07/2024 by C. Pouet//
  
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   *  **Quantitative marketing** (24 hours) taught by Augustin Amann and Vincent Archer,   *  **Quantitative marketing** (24 hours) taught by Augustin Amann and Vincent Archer,
   *  **Data and macroeconomics** (24 hours) taught by Aurélien Poissonier,   *  **Data and macroeconomics** (24 hours) taught by Aurélien Poissonier,
-  *  **Yield management** (24 hours) taught by Régis Chenavaz and Antoine Winckels,+  *  **Applied data science** (24 hours) taught by Nathan Rouff and Antoine Winckels,
   * **Data Project:  modeling and validation ** (20 hours) taught by tba.   * **Data Project:  modeling and validation ** (20 hours) taught by tba.
  
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 ==== Course content ==== ==== Course content ====
 === Quantitative marketing=== === Quantitative marketing===
-   Data processing +   Introduction to prescriptive analytics 
-     * Data: a story of representation +   Interpretability and maching learning 
-     * Data in business +   - Application to revenue management 
-     * From segmentation to dynamic targeting +   - Application to predictive maintenance
-  Marketing from a Data Scientist point of view +
-     * Context: the data world +
-     * Scoring +
-     * Statistics +
-     * Correlations +
-     * Automatic learning +
-     * Supervised classification +
-     * Perspectives+
 === Data and macroeconomics === === Data and macroeconomics ===
 This course aims at giving a broad view of macroeconomic data. It is structured around three questions: This course aims at giving a broad view of macroeconomic data. It is structured around three questions:
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