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Home » Technology » Big Data & Data Science » Visualizing Graph Data

Course Skill Level:

Foundational

Course Duration:

3 day/s

  • Course Delivery Format:

    Live, instructor-led.

  • Course Category:

    Big Data & Data Science

  • Course Code:

    VISGRDL21E09

Who should attend & recommended skills:

Professionals with basic Linux experience

Who should attend & recommended skills

  • Those who want to collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniques.
  • Skill-level: Foundation level Web Scraping with Python skills for Intermediate skilled team members.
  • This is not a basic class.
  • IT skills: Basic (1-2 years’ experience) Python: Basic (1-2 years’ experience).

About this course

Visualizing Graph Data teaches you how to understand graph data, build graph data structures, and create meaningful visualizations. This engaging course gently introduces graph data visualization through fascinating examples and compelling case studies. You’ll discover simple, but effective, techniques to model your data, handle big data, and depict temporal and spatial data. By the end, you’ll have a conceptual foundation as well as the practical skills to explore your own data with confidence.

Skills acquired & topics covered

  • How to build graph data structures and create your own dynamic and interactive visualizations using a variety of tools.
  • Simple, but effective, techniques to model your data, handle big data, and depict temporal and spatial data
  • Fascinating examples and case studies to show you the real-world value of graph visualizations.
  • How to understand graph data structures, and create meaningful visualizations
  • Techniques for creating effective visualizations
  • Examples using the Gephi and Key Lines visualization packages
  • Real-world case studies
  • You’ll have a conceptual foundation as well as the practical skills to explore your own data with confidence

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