Computational Social Science Methods
This course provides an overview of the current opportunities and reach of computational social science. Learn from experts in the field how to use digital footprints, machine learning, social networks, and computer simulations to gain insights into human behavior and shape it. Discover the power of CSS and its applications to international development, machine learning, social networks, and social emergence. ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
18th Sep, 2023
Course Overview
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Updated in [June 30th, 2023]
What skills and knowledge will you acquire during this course?
The skills and knowledge that will be acquired during this course include an understanding of the current opportunities and reach of computational social science. Students will learn about the various applications of computational social science, including studying human behavior, analyzing social interactions, fostering international development, machine learning, social networks, and computer simulation. They will gain insights into the power and influence of computational methods in shaping social and political movements.
How does this course contribute to professional growth?
This course on Computational Social Science Methods contributes to professional growth by providing an overview of the current opportunities and widespread influence of computational social science. It highlights the relevance of studying human behavior through computational means in various domains such as the services offered by leading companies, the hidden influence of governmental agencies, and the impact of social and political movements. The course addresses three key questions: the significance of Computational Social Science at present, the scope of CSS, and examples of CSS applications. It explores four main applications of CSS, including gaining insights from analyzing digital footprints for international development, understanding machine learning concepts, harnessing the power of social networks, and utilizing computer simulations to unravel social emergence.
Is this course suitable for preparing further education?
This course provides an overview of computational social science and its applications. It explores the reasons for the current relevance of computational social science, the topics it covers, and provides examples of its use. The course covers four main applications of computational social science, including studying social interactions to foster international development, machine learning, social networks, and computer simulation.
Pros & Cons
Nicely structured and engaging.
Practical skills and hands-on assignments.
Provides basic information in a fun and interactive way.
Illustrates new possibilities in social sciences.
Develops skills in identifying and processing data.
Provides an overview of core concepts in computational social science.
Helps in applying tools for personal research.
Peer graded assessment instructions not clear.
Confusing machine learning lecture.
Fewer assignments in some modules.
Penalizes for not providing more than asked.
Some may struggle without background knowledge.
Course Provider
Provider Coursera's Stats at AZClass
Discussion and Reviews
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