- Docente: Davide Raggi
- Credits: 3
- SSD: SECS-P/05
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Economics (cod. 8408)
Learning outcomes
After completing the course, the student has a basic knowledge of programming using the Python language to handle some classic econometrics problems.
Course contents
This course introduces the main concepts of Python and its use for handle econometrics problems. In particular the course will focus on:
- Data types: definitions and use
- pandas
- Basic programming structures (loops, if,...)
- Statistical analysis such as regression models
- Advanced econometrics application
Readings/Bibliography
Teaching material will be provided by the instructor.
Teaching methods
Teaching in class and exercises in class and at home
Assessment methods
Final project plus discussion.
Teaching tools
Anaconda Python
Links to further information
Office hours
See the website of Davide Raggi