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

Practical

  • Date & location
    • online weblectures on 28, 29 & 30 April and 3 & 5 May 2021
  • Language: English

Registration

  • Price: max. €900 (check the website for discounts)
  • Target audience:
    PhD-students, non-profit/social sector, private sector
  • No prerequisites

Ready to get started

All practical information can be found on the website of KU Leuven.