Data, Data Storage, Data Collection
Data, Data Storage, Data Collection
Data is the foundation of intelligent systems and decision-making processes. Understanding how to work with data, from its collection to its use for decision making, is central to modern data-driven applications. This course introduces students to the full data lifecycle. It explores how to collect, clean, store, and analyze data, before discussing how to communicate the findings.
Content will be made accessible from ESSEC’s educational platform. In the meantime, here is the content for the first session(s):
Session 1: Introduction to Data
- Lecture slides.
- Project guidelines: slides and written instructions.
Session 2: Data Lifecycle
- Lecture slides.
- Group Exercises:
Session 3: Foundations of Data Collection
- Lab: the archive contains a Jupyter Notebook alongside fallbacks datasets. This is the lab you started in Session 2 about the Data Lifecycle in practice.
- Solution of the lab.
- Lecture slides.
- Exercise sheet.
- Solution of the exercise sheet.
- Additional exercise not solved in the lecture.
Session 4: Practical Data Collection
- Lecture slides.
- Exercise sheet.
- Solution of the exercise sheet.
- Additional exercises not solved in the lecture.