Social Network Analysis

Social Network Analysis is a powerful analytical approach that investigates social structures through the lens of networks and graph theory. Coursera's Social Network Analysis catalogue teaches you to examine complex systems by characterizing networked structures in terms of nodes (individual actors or entities) and the ties or edges (relationships or interactions) that connect them. You'll learn to apply various metrics and techniques, including centrality measures, clustering coefficients, and community detection algorithms, to uncover patterns in social media networks, organizational structures, and information flow. Mastering Social Network Analysis empowers you to gain valuable insights into human behavior, organizational dynamics, and information dissemination, making it an essential skill for data scientists, sociologists, and business analysts in today's interconnected world.
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Results for "social network analysis"

  • Status: Free Trial

    University of California San Diego

    Skills you'll gain: Interactive Learning, Student Engagement, Algorithms, Diversity Awareness, Pedagogy, Facebook, Mathematics Education, Instructional Strategies, Programming Principles, Teaching, Data Storage, Education and Training, Software Engineering, Geographic Information Systems, Lesson Planning, Computer Science, Theoretical Computer Science, Computational Thinking, Social Network Analysis, User Experience

  • Status: Preview

    Skills you'll gain: Child Development, Advocacy, Research, Research Methodologies, Social Sciences, Data Collection, Social Network Analysis, Anthropology, Human Development, Nutrition and Diet, Environmental Issue, Biology

  • Status: Free Trial

    Skills you'll gain: Research, Investigation, Social Network Analysis, Trend Analysis, Verification And Validation, Facebook, Data Validation, Content Management

  • Status: Free Trial

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

  • Status: Preview

    Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Predictive Analytics, Predictive Modeling, Pandas (Python Package), Matplotlib, Algorithms

  • Status: Preview

    Universiteit Leiden

    Skills you'll gain: Health Systems, Health Care Administration, Governance, Health Care, Health Policy, Health Disparities, Health Equity, Clinical Leadership, Social Network Analysis, Social Determinants Of Health, Preventative Care, Public Health and Disease Prevention, Community Health, Continuous Quality Improvement (CQI)

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