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
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences View 416 other Short Courses in Computer Sciences in United StatesWhat students do after studying
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
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription