This course gives you an overview of the current opportunities and the omnipresent reach of computational social science. The results are all around us, every day, reaching from the services provided by the world’s most valuable companies, over the hidden influence of governmental agencies, to the power of social and political movements. All of them study human behavior in order to shape it. In short, all of them do social science by computational means.
This course is part of the Computational Social Science Specialization
About this Course
What you will learn
Examine the history and current challenges faced by Social Science through the digital revolution.
Configure a machine to create a database that can be used for analysis.
Discuss what is artificial intelligence (AI) and train a machine.
Discover how social networks and human dynamics create social systems and recognizable patterns.
Syllabus - What you will learn from this course
Computational Social Science (CSS)
Example of Computational Social Science: Data Science
Examples of CSS: Machine Learning & AI
Examples of CSS: Social Networks and Computer Simulations
- 5 stars79.40%
- 4 stars14.61%
- 3 stars1.66%
- 2 stars1.99%
- 1 star2.32%
TOP REVIEWS FROM COMPUTATIONAL SOCIAL SCIENCE METHODS
Amazing gateway to doing real science in social science. Thank you, Professor Hilbert!
Excellent course and the instructor(s) make it even more engaging. I love Martin Hilbert and his explanations, examples. I enjoyed course 1 alot and continuing course 2 at the moment.
Got a rudimentary level understanding of the power of computational tools like ML, SNA and ABM can help in analysis of human dynamics
Excellent course for beginners, or those curious to learn more on computational social sciences that don't have a strong technical background.
About the Computational Social Science Specialization
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