Computational Social Science Methods by University of California, Davis
One of the top Online Courses to Learn Social Sciences, Computational Social Science Methods by University of California, Davis provides an overview of computational social science's current opportunities and omnipresent reach. Every day, the outcomes may be found all around us, from the services offered by the world's most valuable firms to the secret influence of government agencies to the power of social and political movements. They're all trying to influence human behavior. In a nutshell, they all use computational methods to do social science research.
In this course they answer three questions:
- Why Computational Social Science (CSS) now?
- What does CSS cover?
- What are examples of CSS?
In this final section, they will take a look at four of CSS's most important uses. Prof. Blumenstock of UC Berkeley first outlines how we might learn more about today's social interactions by researching the vast digital footprint left behind, especially in order to support international development. Second, Prof. Shelton of UC Riverside gives them an introduction to machine learning, including the fundamental concepts underpinning this current driver of much of today's computational landscape. Prof. Fowler of UC San Diego talks on the power of social networks, and Prof. Smaldino of UC Merced talks about how computer modeling can help them unravel some of the mysteries of social emergence.
This course offers:
- Flexible deadlines: Reset deadlines in accordance to your schedule.
- Certificate : Earn a Certificate upon completion
- 100% online
- Beginner Level
- Approx. 11 hours to complete
- Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
- Course 1 of 5 in the Computational Social Science Specialization
Coursera Rating: 4.7/5
Enroll here: https://www.coursera.org/learn/computational-social-science-methods
