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

(612 reviews)

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

(612 reviews)

Beginner level
No prior experience required
4 weeks to complete
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
22 practice exercises

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  • 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

Big Data, Machine Learning, Social Network Analysis, Scientific Methods, Data Science, Data Analysis, Computational Thinking, Artificial Intelligence, Simulations, Social Sciences, and Network 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

Artificial Intelligence, Natural Language Processing, Big Data, Data Ethics, Responsible AI, Machine Learning, Algorithms, Case Studies, Data Mining, Social Sciences, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Research, and Analytics
Social Network Analysis

Social Network Analysis

Course 310 hours

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

Social Network Analysis, Network Analysis, Simulations, Data Manipulation, Social Sciences, Statistical Visualization, Data Analysis, Data Visualization, Data Wrangling, Predictive Analytics, and Graph Theory
Computer Simulations

Computer Simulations

Course 412 hours

What you'll learn

Skills you'll gain

Simulations, Agentic systems, Social Sciences, Computational Thinking, Computer Programming, Sociology, Scientific Methods, Artificial Intelligence and Machine Learning (AI/ML), Social Network Analysis, Economics, and Systems Thinking

What you'll learn

Skills you'll gain

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

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Instructor

Martin Hilbert
University of California, Davis
10 Courses79,913 learners

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