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Computational Social Science Methods

This course is part of Computational Social Science.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Computational Social Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.7

(332 ratings)

15,060 already enrolled

Instructors:

English

پښتو, বাংলা, اردو, 3 more

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Computational Social Science Methods

This course includes

11 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Examine social science evolution through digital revolution

  • Create and analyze databases using computational methods

  • Apply machine learning to social science research

  • Analyze social networks and human dynamics patterns

Skills you'll gain

Social Science
Data Analysis
Machine Learning
Artificial Intelligence
Social Networks
Computer Simulation
Web Scraping
Digital Footprints
Network Analysis
Social Emergence

This course includes:

5.1 Hours PreRecorded video

5 quizzes, 1 peer review

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

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There are 4 modules in this course

This comprehensive course explores the intersection of computational methods and social science. Students learn about digital revolution's impact on social science, data collection through web scraping, artificial intelligence applications, and social network analysis. The curriculum covers practical applications of machine learning, computer simulations, and analysis of digital footprints in social research, taught by professors from across the UC system. The course emphasizes hands-on experience with computational tools while examining social emergence patterns.

Computational Social Science (CSS)

Module 1 · 3 Hours to complete

Example of Computational Social Science: Data Science

Module 2 · 3 Hours to complete

Examples of CSS: Machine Learning & AI

Module 3 · 2 Hours to complete

Examples of CSS: Social Networks and Computer Simulations

Module 4 · 2 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Computational Social Science

Instructor

Martin Hilbert
Martin Hilbert

4.8 rating

64 Reviews

62,338 Students

9 Courses

Leading Expert in Computational Social Science at UC Davis

Professor Martin Hilbert is a distinguished academic at the University of California, Davis, where he serves as the Chair of the Department of Computational Social Science. His research focuses on the impact of digital information and algorithms within complex social systems. Dr. Hilbert holds dual doctorates in Economics and Social Sciences (2006) and in Communication (2012), and he is affiliated with both the Communication and Computer Science departments at UC Davis. He is widely recognized for his groundbreaking study that quantified the amount of information in the world and for designing the first digital action plan in collaboration with Latin American and Caribbean governments at the United Nations. Additionally, he was one of the first to raise concerns about Cambridge Analytica's influence on elections before the scandal emerged. Prior to his academic career, Dr. Hilbert worked for 15 years as an Economic Affairs Officer at the United Nations, where he developed the Information Society Program for Latin America and the Caribbean, providing technical assistance to over 20 countries. His extensive research has been published in prestigious journals such as Science and World Development, and he is frequently featured in major media outlets including The Wall Street Journal and NPR. Fluent in five languages and having lived on four continents, Dr. Hilbert brings a truly international perspective to his work, having traveled to over 70 countries throughout his career.

Computational Social Science Methods

This course includes

11 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.