- Big Data
- Data Analysis
- Machine Learning
- Human Learning
- Machine Learning Algorithms
- Social Media
- Critical Thinking
- Data Management
- Algorithms
- Network Architecture
- Network Model
- Probability & Statistics
February 24, 2024
Approximately 2 months at 10 hours a week to completeGörkem Saylam's account is verified. Coursera certifies their successful completion of University of California, Davis Computational Social Science Specialization.
Course Certificates Completed
Computer Simulations
Computational Social Science Capstone Project
Social Network Analysis
Big Data, Artificial Intelligence, and Ethics
Computational Social Science Methods
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
Earned after completing each course in the Specialization
University of California, Davis
Taught by: Martin Hilbert
Completed by: Görkem Saylam by February 11, 2024
5 weeks of study, 2-5 hours/week
University of California, Davis
Taught by: Martin Hilbert
Completed by: Görkem Saylam by February 24, 2024
4 weeks of study, 2-5 hours/week
University of California, Davis
Taught by: Martin Hilbert
Completed by: Görkem Saylam by February 3, 2024
5 weeks of study, 2-5 hours/week
University of California, Davis
Taught by: Martin Hilbert
Completed by: Görkem Saylam by February 3, 2024
4 weeks of study, 2-5 hours/week
University of California, Davis
Taught by: Martin Hilbert
Completed by: Görkem Saylam by February 7, 2024
4 weeks of study, 2-5 hours/week