University of California, Davis
Computational Social Science Specialization
University of California, Davis

Computational Social Science Specialization

Martin Hilbert

Instructor: Martin Hilbert

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4.7

(588 reviews)

Beginner level
No prior experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(588 reviews)

Beginner level
No prior experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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

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Taught in English

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  • Earn a career certificate from University of California, Davis
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Specialization - 5 course series

Computational Social Science Methods

Course 111 hours4.7 (341 ratings)

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: Machine Learning
Category: Artificial Intelligence
Category: Network Analysis
Category: Scientific Methods
Category: Social Sciences
Category: Simulations
Category: Economics, Policy, and Social Studies
Category: Data Science
Category: Computational Thinking
Category: Data Mining
Category: Sociology
Category: Data Analysis

Big Data, Artificial Intelligence, and Ethics

Course 29 hours4.6 (573 ratings)

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: Data Ethics
Category: Big Data
Category: Natural Language Processing
Category: Data Analysis
Category: Machine Learning
Category: Artificial Intelligence
Category: Computer Vision
Category: Social Sciences
Category: Research
Category: Data Mining
Category: Algorithms
Category: Text Mining
Category: Research Methodologies

Social Network Analysis

Course 310 hours4.7 (235 ratings)

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: Graph Theory
Category: Computational Thinking
Category: Predictive Analytics
Category: Data Analysis
Category: Social Sciences
Category: Data Wrangling
Category: Data Visualization Software
Category: Scientific Visualization

Computer Simulations

Course 412 hours4.4 (80 ratings)

What you'll learn

Skills you'll gain

Category: Simulations
Category: Social Sciences
Category: Computer Programming
Category: Data Modeling
Category: Economics
Category: Systems Thinking
Category: Sociology
Category: Network Analysis
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Computational Thinking

Computational Social Science Capstone Project

Course 513 hours4.6 (37 ratings)

What you'll learn

Skills you'll gain

Category: Web Scraping
Category: Machine Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Visualization Software
Category: Trend Analysis
Category: Simulations
Category: Natural Language Processing
Category: Databases
Category: Big Data
Category: Network Analysis
Category: Social Sciences
Category: Data Manipulation
Category: Data Cleansing
Category: Computational Thinking
Category: Data Collection

Instructor

Martin Hilbert
University of California, Davis
10 Courses66,883 learners

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