Coursera – Computational Social Science Specialization 2021-4
Coursera – Computational Social Science Specialization 2021-4 Downloadly IRSpace

Computational Social Science Specialization is a course in social computational science. Digital technology has not only changed society, it has changed the way we look at it. The rise of human communication is leaving a vast digital footprint. Examining it allows us to gain a unique insight into what society is and how it works, including complex social networks that have long been obscure. Computer computing power allows us to identify hidden patterns with the help of statistical tools such as machine learning.
What you will learn in the Computational Social Science Specialization course series:
- Discover how to build social systems and patterns recognizable by social networks and human dynamics
- Define and discover the opportunities and limitations of metadata
- Web scrape online data, build a visualization of a social network with it and use machine learning to analyze its contents
- Use computer simulation to plan your own mock communities to discover business strategies
Course details:
Publisher: Coursera
Instructor: Martin Hilbert
Language: English
Education Level: Introductory
Number of Courses: 5
Duration: Assuming 3 hours per week, 6 months
Courses in the Computational Social Science Specialization series:
COURSE 1
Computational Social Science-Methods
COURSE 2
Big Data, Artificial Intelligence, and Ethics
COURSE 3
Social Network Analysis
COURSE 4
Computer Simulations
COURSE 5
Computational Social Science-Capstone Project
Course prerequisites:
No background knowledge is necessary to work through this Specialization.
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Subtitle: English and other languages
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This collection includes 5 different courses.
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Computational Social Science Methods 2021-4
Big Data, Artificial Intelligence, and Ethics 2021-4
Social Network Analysis 2021-4
Computer Simulations 2021-4
Computational Social Science Capstone Project 2021-4
Size
1.4 GB + 2.1 GB + 1.4 GB + 1.4 GB + 374 MB