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Computational Social Science Capstone Project

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.

4.6

(37 ratings)

4,237 already enrolled

Instructors:

English

پښتو, বাংলা, اردو, 2 more

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Computational Social Science Capstone Project

This course includes

12 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Master web scraping techniques for social media data collection

  • Visualize and analyze complex social networks

  • Apply machine learning for natural language processing

  • Develop computer simulations of social behavior

  • Integrate multiple computational methods for social analysis

Skills you'll gain

Web Scraping
Social Network Analysis
Natural Language Processing
Computer Simulation
Data Analysis
Network Visualization
Machine Learning
Computational Methods
Social Science Research
Data Science

This course includes:

1.95 Hours PreRecorded video

1 assignment

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 capstone project integrates multiple computational methods to analyze social phenomena. Students collect data through web scraping, visualize and analyze social networks, perform sentiment analysis using NLP, and create computer simulations to model social behaviors. The course demonstrates practical applications of computational tools in social science research, preparing students to conduct data-driven social analysis using modern computational methods.

Getting Started and Milestone 1

Module 1 · 4 Hours to complete

Milestone 2: Social Network Analysis

Module 2 · 2 Hours to complete

Milestone 3: Natural Language Processing

Module 3 · 2 Hours to complete

Milestone 4: Agent-Based Computer Simulations

Module 4 · 4 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 Capstone Project

This course includes

12 Hours

Of Self-paced video lessons

Intermediate 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.