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Computational Social Science Capstone Project Coursera

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
7 days
Duration
7 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

This Computational Social Science Capstone Project course offered by Coursera in partnership with UC Davis is part of the Computational Social Science Specialization. When you enroll in this course, you'll also be enrolled in this Specialization.

Overview

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 Computational Social Science Capstone Project course offered by Coursera in partnership with UC Davis, where we are bringing it all together.

Key features

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.

Programme Structure

Course structure:

  • Social Network Analysis capstone: getting started
  • Milestone: NLP 
  • Network Measures
  • Milestone: Agent-Based Computer Simulations
  • One-Step Flow

Key information

Duration

  • Part-time
    • 7 days
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate level
  • Some related experience required
  • This course is aimed at learners with prior knowledge of computational social science who want to apply their skills in a comprehensive, real‑world project involving data scraping, network analysis, machine learning, and simulation to study social systems.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription

Funding

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