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Learn to convert data into actionable insights. Visual Analytics 09.20 Open is a Course

Visual Analytics 09.20 Open

Ended Oct 19, 2020

Sorry! The enrollment period is currently closed. Please check back soon.

Full course description

Course Introduction

This 30h course leads to a Visual Analytics Certificate (3 CEUs) by the Cyberinfrastructure for Network Science Center in the Luddy School of Informatics, Computing, and Engineering at Indiana University-Bloomington.

Download FAQs (PDF). Please contact cnscntr@indiana.edu for institution-specific bulk registrations or other questions.

Learning Outcomes

  • A theoretical foundation of how to design effective analysis workflows and data visualizations;
  • Hands-on skills in the application of visual analytics in real-world case studies;
  • Expertise on how new methods and tools can create value across the product life cycle;
  • An understanding of how to define, measure, and improve data visualization literacy within an institution; and
  • Knowledge of research challenges and application areas that power data-driven decision making across industries.

Module Topics Include

  • Week 1 — Data-Driven Decision Making, Visual Analytics Framework, Workflow Design
  • Week 2 — “When”: Temporal Data Analysis and Visualization
  • Week 3 — “Where”: Geospatial Data Analysis and Visualization
  • Week 4 — “What”: Topical Data Analysis and Visualization
  • Week 5 — “With Whom”: Network Analysis and Visualization
  • Week 6 — Future Developments, Value Creation via Data-Driven Decision Making

Meet the Instructors

Photo of Instructor, Katy BörnerKaty Börner, Victor H. Yngve Distinguished Professor of Engineering and Information Science. Founding Director of the Cyberinfrastructure for Network Science Center at Indiana University.

Photo of Assistant Instructor, Michael GindaMichael Ginda, data analyst and research assistant with the Cyberinfrastructure for Network Science Center, SICE. He holds a Master’s degree in Library Science from Indiana University.

Photo of Assistant Instructor, Andreas BueckleAndreas Bueckle, PhD Candidate in Information Science, performing research on information visualization, specifically virtual and augmented reality.

 

Length: 30 hours

 

Department: 
Cyberinfrastructure Network Science

 

Credit: Certificate, 3 CEUs

 

Audience: Everyone, professionals who use data visualization