- 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 19, 2023 to Oct 24, 2023
Learning outcomes
This course introduces the main concepts of Python and its use in economic and econometric analyses. In particular, the course will focus on: 1) Data types: definitions and use 2) Pandas 3) Basic programming structures (loops, if,...) 4) A primer on classes 5) Applications to economics and econometrics
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 on classes
- Statistical analysis such as regression models
- Some applications with machine learning algorithms
- Advanced econometrics application
Readings/Bibliography
Teaching material will be provided by the instructor through the virtuale page.
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
Links to further information
https://virtuale.unibo.it/course/view.php?id=52690
Office hours
See the website of Davide Raggi