Collecting and Analyzing Big Data

online weblectures (as of 28 April 2021)
KU Leuven

Introduction to collecting and analyzing big data for social scientists

By the end of the course, it is expected that participants will be able to :

  • Collect data from the internet using web scraping and APIs
  • Read and write digital text files
  • Analyze data using supervised learning technique such as random forest models
  • Analyze data using unsupervised learning techniques such as topic models
  • Understand and apply current methods for analyzing texts
  • Link machine learning methods to relevant social science questions
  • Program in Python

Praktisch

  • Datum & locatie
    • online weblectures op 28, 29 en 30 april en 3 en 5 mei 2021
  • Taal: Engels

Inschrijven?

  • Prijs: max. €900 (check de website voor kortingstarieven)
  • Doelgroep:
    PhD-studenten, non-profit/social sector, private sector
  • Geen voorkennis nodig

Klaar om te starten?

Alle praktische info vind je op de opleidingspagina op de website van KU Leuven.