B2032 - INTRODUCTION TO PYTHON FOR ECONOMISTS

Anno Accademico 2024/2025

  • Docente: Davide Raggi
  • Crediti formativi: 3
  • SSD: SECS-P/05
  • Lingua di insegnamento: Inglese
  • Modalità didattica: Convenzionale - Lezioni in presenza
  • Campus: Bologna
  • Corso: Laurea Magistrale in Economics and Econometrics (cod. 5977)

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,...)
  • 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


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=65970

Orario di ricevimento

Consulta il sito web di Davide Raggi