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
This is a great course to take as an introduction to Computational Social Science. I hope the rest of the Specialization is just as engaging, relevant, and informative.
Fantastic introduction to social network analysis and how modeling and machine learning are used to plan or predict future actions from past data.
It really helped me in finding that how many things can I do with social data and what new problems can be solved with social networks
Very useful and clear introductory course! Thanks Prof. Martin Hilbert for the amazing content. I cannot wait to take all the other courses in this specialization.
About the Computational Social Science Specialization
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