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

Computational Social Science Specialization

Martin Hilbert

Instructor: Martin Hilbert

Included with Coursera Plus

Get in-depth knowledge of a subject

(612 reviews)

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

(612 reviews)

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

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

Overview

What’s included

Shareable certificate

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Taught in English
22 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

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

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

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

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

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

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Instructor

Martin Hilbert
University of California, Davis
10 Courses79,784 learners

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