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Computational Social Science Methods
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Computational Social Science Methods

This course is part of Computational Social Science.

Course Cost

Free course

Beginner

Skill Level

10 Hours

Self-paced lessons

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

15,060 Enrolled

English

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4.7

15,060 Enrolled

English

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

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Get a Completion Certificate

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Certificate
Certificate

Get a Completion Certificate

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

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Computational Social Science Methods

Beginner

Skill Level

10 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.