University of California, Davis
Computational Social Science Specialization
15,175 enrolled
University of California, Davis

Computational Social Science Specialization

Included with Coursera Plus

Get in-depth knowledge of a subject

(604 reviews)

Beginner level
No prior experience required
Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(604 reviews)

Beginner level
No prior experience required
Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers

Overview

  • Discover how social networks and human dynamics create social systems and recognizable patterns

  • Define and discuss big data opportunities and limitations

  • Web scrape online data, create a social network visualization with it, and use machine learning to analyze its content

  • Use computer simulations to program your own artificial societies to explore business strategies and policy options

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
21 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of California, Davis

Specialization - 5 course series

What you'll learn

  • 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.

Skills you'll gain

Category: Big Data
Category: Artificial Intelligence
Category: Network Analysis
Category: Natural Language Processing
Category: Machine Learning
Category: Social Sciences
Category: Scientific Methods
Category: Computational Thinking
Category: Research
Category: Data Science
Category: Web Scraping
Category: Analytics
Category: Simulations
Category: Data Analysis

What you'll learn

  • Define and discuss big data opportunities and limitations.

  • Work with IBM Watson and analyze a personality through Natural Language Programming (NLP).

  • Examine how AI is used through case studies.

  • Examine and discuss the roles ethics play in AI and big data.

Skills you'll gain

Category: Natural Language Processing
Category: Big Data
Category: Data Mining
Category: Artificial Intelligence
Category: Data Ethics
Category: Machine Learning
Category: Data Collection
Category: Data Literacy
Category: Social Sciences
Category: Predictive Analytics

What you'll learn

  • Define networks and discover the languages networks use.

  • Analyze a social network through data wrangling and visualizing a network.

  • Discuss what mechanisms generate networks.

  • Examine social networks analysis using case studies.

Skills you'll gain

Category: Network Analysis
Category: Simulations
Category: Data Visualization Software
Category: Data Visualization
Category: Data Analysis
Category: Data Wrangling
Category: Graph Theory
Category: Scientific Methods

What you'll learn

Skills you'll gain

Category: Simulations
Category: Agentic systems
Category: Social Sciences
Category: Systems Thinking
Category: Scientific Methods
Category: Economics
Category: Computational Thinking
Category: Computer Programming
Category: Sociology

What you'll learn

Skills you'll gain

Category: Web Scraping
Category: Social Sciences
Category: Simulations
Category: Computational Thinking
Category: Data Analysis
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Network Analysis
Category: Databases
Category: Data Visualization Software
Category: Big Data
Category: Agentic systems
Category: Semantic Web
Category: Data Wrangling
Category: Natural Language Processing

Earn a career certificate

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Instructor

Martin Hilbert
University of California, Davis
10 Courses74,678 learners

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