B2022 - Python for Economists

Academic Year 2026/2027

  • Teaching Mode: In-person learning (entirely or partially)
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Applied Economics and Markets (cod. 6756)

    Also valid for Second cycle degree programme (LM) in Economics and Public Policy (cod. 6758)

Learning outcomes

This course provides theory and tools for using Python as a programming language in economic research. It (i) introduces students to the basic logic and syntax of Python (e.g. object-oriented programming) and (ii) emphasizes how to use it to perform Data Science-related tasks (working with relational dataset, big data, data visualization, among others).

Syllabus

The syllabus has not been published yet.

Office hours

See the website of Massimo Aliberti