This course is part of Text Marketing Analytics Specialization

Instructors: Chris J. Vargo +1 more

What you'll learn

  •   Describe the concept of network analysis and related terminology
  •   Apply network analysis to marketing data via a peer-graded project
  •   Visualize a network based on centrality and other statistics via homework
  •   Extract marketing insights from a network via a peer-graded project
  • Skills you'll gain

    There are 4 modules in this course

    This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

    Network Analysis Data Structures and Calculations

    Preparing and Visualizing Social Networks

    Preparing and Visualizing Semantic Networks

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