RiseUpp Logo
Educator Logo

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

Powered by

Provider Logo
Computational Social Science Capstone Project

This course includes

13 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

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.

icon-0icon-1icon-2icon-3icon-4

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

178 Reviews

62,293 Students

9 Courses

Professor and Chair DE Computational Social Science

Martin Hilbert is a distinguished Professor at the University of California, Davis, specializing in the intersection of digital information and algorithms within complex social systems. He holds dual doctorates in Economics and Social Sciences (2006) and Communication (2012). His academic contributions include pioneering studies on the global information landscape and developing the first digital action plan for Latin America and the Caribbean during his tenure as an Economic Affairs Officer at the United Nations. Hilbert's foresight in recognizing the implications of digital manipulation was evident when he alerted the public about Cambridge Analytica's involvement in political campaigns a year before it became widely known.In addition to his research, Dr. Hilbert teaches various courses, including Big Data, Artificial Intelligence, and Ethics, as well as Computational Social Science methods. His work has been published in leading academic journals and featured in prominent media outlets such as The Wall Street Journal and The Economist. With a rich background that includes providing technical assistance to over 20 countries, he is fluent in five languages and has traveled extensively across four continents, bringing a global perspective to his research and teaching.

Computational Social Science Capstone Project

This course includes

13 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

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.