Course Summary
This course teaches computational social science methods, which combine theories and methods from social science, statistics, and computer science to understand and analyze social and behavioral data.Key Learning Points
- Learn how to use programming languages such as Python and R to analyze social and behavioral data
- Understand the principles of research design, data collection, and statistical analysis in computational social science
- Apply computational methods to real-world social and behavioral problems
Job Positions & Salaries of people who have taken this course might have
- USA: $62,453
- India: ₹4,69,388
- Spain: €29,325
- USA: $62,453
- India: ₹4,69,388
- Spain: €29,325
- USA: $75,891
- India: ₹7,00,000
- Spain: €36,000
- USA: $62,453
- India: ₹4,69,388
- Spain: €29,325
- USA: $75,891
- India: ₹7,00,000
- Spain: €36,000
- USA: $88,320
- India: ₹9,83,488
- Spain: €45,000
Related Topics for further study
- Computational Social Science
- Research Design
- Data Collection
- Statistical Analysis
- Python and R Programming
Learning Outcomes
- Understand the principles of computational social science methods
- Apply computational methods to real-world social and behavioral problems
- Analyze social and behavioral data using programming languages such as Python and R
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics and programming
- Access to programming software such as Python and R
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video lectures
- Assignments
Similar Courses
- Statistical Learning
- Data Science Essentials
- Social and Economic Networks: Models and Analysis
Related Education Paths
Notable People in This Field
- Duncan J. Watts
- Nicholas A. Christakis
- Ethan Zuckerman
Related Books
Description
This course gives you an overview of the current opportunities and the omnipresent reach of computational social science. The results are all around us, every day, reaching from the services provided by the world’s most valuable companies, over the hidden influence of governmental agencies, to the power of social and political movements. All of them study human behavior in order to shape it. In short, all of them do social science by computational means.
Knowledge
- Examine the history and current challenges faced by Social Science through the digital revolution.
- Configure a machine to create a database that can be used for analysis.
- Discuss what is artificial intelligence (AI) and train a machine.
- Discover how social networks and human dynamics create social systems and recognizable patterns.
Outline
- Computational Social Science (CSS)
- What is this Specialization About?
- Course Introduction
- Optional: Study Suggestions (not required)
- Module 1 Introduction
- The Digital Revolution
- First Ever UC-wide Online Course
- A Very Short History of Science
- A Very Simplistic Hierarchy of Science
- Social Emergence (Part 1)
- Social Emergence (Part 2)
- The Scientific Method Revisited
- Limitations of Induction and Deduction
- Glass of Red Wine Theorizing
- Social Science Challenges
- About UCCSS
- A Note From UC Davis
- Optional/Complementary
- Module 1 Quiz
- Example of Computational Social Science: Data Science
- Introduction to Examples of CSS (Part 1)
- Overview of Big Data
- Fighting Poverty with Data
- Extracting Features
- Predicting Poverty
- Who Cares?
- Webscraping Lab How-To
- Welcome to the Web Scraping Lab
- Welcome to Peer Review Assignments!
- Optional/ Complementary
- Web Scraping Assigned Task
- Module 2 Quiz
- Examples of CSS: Machine Learning & AI
- Introduction to Examples of CSS (Part 2)
- Overview of Artificial Intelligence (Part 1)
- Overview of Artificial Intelligence (Part 2)
- Machine Learning
- Overfitting
- Training, Validation, Testing
- A Common Difficulty in ML
- Optional/Complementary
- Module 3 Quiz
- Examples of CSS: Social Networks and Computer Simulations
- Introduction to Social Networks and Computer Simulations
- Overview of Social Networks
- Connected
- From Obesity to Generosity
- Get Your Friends Involved!
- Overview of Computer Simulations
- Models
- Why Model?
- Cultural Boundaries
- Course Summary
- Module 4 Quiz
Summary of User Reviews
Discover the methods and tools used in computational social science with this Coursera course. Students praise the course for its engaging content and practical applications.Key Aspect Users Liked About This Course
Engaging contentPros from User Reviews
- Practical applications
- In-depth coverage of methods and tools
- Good balance of theory and practice
Cons from User Reviews
- Some technical topics can be challenging
- Course can be time-consuming
- Not suitable for beginners
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