- Docente: Davide Raggi
- Crediti formativi: 6
- SSD: SECS-P/05
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Economics (cod. 8408)
-
dal 19/09/2023 al 24/10/2023
Conoscenze e abilità da conseguire
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
Contenuti
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
Testi/Bibliografia
Teaching material will be provided by the instructor through the virtuale page.
Metodi didattici
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”.
Modalità di verifica e valutazione dell'apprendimento
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
Strumenti a supporto della didattica
Anaconda Python 3.7 (or more recent) and Jupiter Notebook
Link ad altre eventuali informazioni
https://virtuale.unibo.it/course/view.php?id=52690
Orario di ricevimento
Consulta il sito web di Davide Raggi