Ce cours apparaît dans les formations suivantes :
• IÉSEG > MSc in Investment Banking and Capital Markets > Semester 2 > 2,00 ECTS

Pré requis

Basic knowledge in computer programming (VBA or any other language) is preferable.

Objectifs du cours

At the end of the course, the student should be able to:
- Successfully collaborate within a intercultural team
- Propose creative solutions within an organization
- Convey powerful messages using contemporary presentation techniques
- Employ state-of-the-art management techniques
- Demonstrate an expertise on key concepts, techniques and trends in their professional field
- Be a reference point for expertise-related questions and ambiguities

Contenu du cours

Overview and Installation
Numbers and Strings
Functions and Conditionals
Data Structures and Loops
Files and Modules
Applications

Modalités d'enseignement

Organisation du cours

Méthodes pédagogiques

• Interactive class

Évaluation

One final exam (project to be done individually in class during 3 hours - last session)
One group project (financial application - Monte Carlo simulation)

The output of the two projects is a Python Notebook.

Bibliographie

• Data Science from Scratch: First Principles with Python (Joel Grus) -

• Python for Finance (Yves Hilpisch) -

• Natural Language Processing with Python (Steven Bird & Ewan Klein) -

Ressources internet

• DataCamp

• LearnPython