Computational Social Science Specialization
Computational Social Science Specialization
Instructor: Martin Hilbert
Access provided by Georgetown University
Beginner level
No prior experience required
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Discover how social networks and human dynamics create social systems and recognizable patterns
Define and discuss big data opportunities and limitations
Web scrape online data, create a social network visualization with it, and use machine learning to analyze its content
Use computer simulations to program your own artificial societies to explore business strategies and policy options
Skills you'll gain
- Data Wrangling
- Network Analysis
- Social Network Analysis
- Simulations
- Data Cleansing
- Agentic systems
- Natural Language Processing
- Data Science
- Data Ethics
- Social Media Analytics
- Social Sciences
- Applied Machine Learning
- Big Data
- Web Scraping
- Research
- Systems Thinking
- Data Processing
- Artificial Intelligence
- Databases
- Text Mining
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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