- Docente: Davide Raggi
- Credits: 6
- SSD: SECS-P/05
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Economics (cod. 8408)
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from Sep 20, 2022 to Oct 27, 2022
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,...)
- A primer to classes
- 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.
As concerns the teaching methods of this course unit, all students should attend Module 1, 2 [https://www.unibo.it/en/services-and-opportunities/health-and-assistance/health-and-safety/online-course-on-health-and-safety-in-study-and-internship-areas] on Health and Safety online”.
Assessment methods
Final project with discussion.
The maximum possible score is 30 cum laude. The grade is graduated as follows:
<18 failed
18-23 sufficient
24-27 good
28-30 very good
30 e lode excellent
Teaching tools
Anaconda Python 3.7 (or more recent) and Jupiter Notebook
Office hours
See the website of Davide Raggi