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Mining Social Media + Network Diffusion

This course is designed for students who have taken Data Society’s Introduction to Network Analysis course or who have some experience in network analysis. This 2 ½ hour course teaches students how to pull and clean social media data, identify the most important nodes in a network, and build a dispersion simulation within a network.

Course Objectives

  • Create interactive visualizations with clickable charts, graphs, maps and networks
  • Publish dynamic graphs and applications to your blog or website
  • Collect and manipulate data from almost any website, saving you time and creating new possibilities
Prerequisites: Intro to Network Analysis View syllabus
Instruction: 2 hrs 40 min
Practice: 10 – 15 hrs

Merav Yuravlivker

Merav Yuravlivker is a nationally ranked instructor and co-founder of Data Society. She used data-driven strategies in the classroom to maximize educational outcomes and has over 10 years of experience in instructional design, training, and teaching. Merav has helped bring new insights to businesses and move their organizations forward through implementing data analytics strategies.

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