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

Computational Social Science Specialization

Taught in English

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Martin Hilbert

Instructor: Martin Hilbert

12,193 already enrolled

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Specialization - 5 course series

Get in-depth knowledge of a subject

4.7

(544 reviews)

Beginner level
No prior experience required
2 months 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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Specialization - 5 course series

Get in-depth knowledge of a subject

4.7

(544 reviews)

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

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  • Learn in-demand skills from university and industry experts
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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 (323 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.

Big Data, Artificial Intelligence, and Ethics

Course 212 hours4.6 (477 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.

Social Network Analysis

Course 310 hours4.7 (223 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.

Computer Simulations

Course 412 hours4.5 (79 ratings)

What you'll learn

Computational Social Science Capstone Project

Course 513 hours4.6 (37 ratings)

What you'll learn

Instructor

Martin Hilbert
University of California, Davis
5 Courses53,135 learners

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