Computational Social Science Capstone Project

This course is part of Computational Social Science Specialization

Instructor: Martin Hilbert

Skills you'll gain

  •   Machine Learning
  •   Databases
  •   Data Collection
  •   Social Sciences
  •   IBM Cloud
  •   Natural Language Processing
  •   Web Scraping
  •   Unstructured Data
  •   Simulations
  •   Data Mining
  •   Computational Thinking
  •   Big Data
  •   Data Visualization Software
  •   Data Wrangling
  •   Network Analysis
  • There are 4 modules in this course

    CONGRATULATIONS! Not only did you accomplish to finish our intellectual tour de force, but, by now, you also already have all required skills to execute a comprehensive multi-method workflow of computational social science. We will put these skills to work in this final integrative lab, where we are bringing it all together. We scrape data from a social media site (drawing on the skills obtained in the 1st course of this specialization). We then analyze the collected data by visualizing the resulting networks (building on the skills obtained in the 3rd course). We analyze some key aspects of it in depth, using machine learning powered natural language processing (putting to work the insights obtained during the 2nd course). Finally, we use a computer simulation model to explore possible generative mechanism and scrutinize aspects that we did not find in our empirical reality, but that help us to improve this aspect of society (drawing on the skills obtained during the 4th course of this specialization). The result is the first glimpse at a new way of doing social science in a digital age: computational social science. Congratulations! Having done all of this yourself, you can consider yourself a fledgling computational social scientist!

    Milestone 2: Social Network Analysis

    Milestone 3: Natural Language Processing

    Milestone 4: Agent-Based Computer Simulations

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