Advance your skills in one of the most in-demand fields, Visual Analytics, by joining the next Visual Analytics Certificate (VAC) course, January 18-February 28, 2021. This 6-week, 3 CEU course leads to a Visual Analytics Certificate by Cyberinfrastructure for Network Science Center in the Luddy School of Informatics, Computing, and Engineering at Indiana University-Bloomington. Delivered entirely online, all coursework can be completed asynchronously to fit busy schedules. For registration and FAQs go to https://visanalytics.cns.iu.edu/
VAC COURSE DATES
January 18 – February 28, 2021
ABOUT THE COURSE
This 30-hour, 3 CEU course leads to a Visual Analytics Certificate by Cyberinfrastructure for Network Science Center (CNS) in the Indiana University Luddy School of Informatics, Computing, and Engineering. Delivered entirely online, all coursework can be completed asynchronously to fit busy schedules. The course is self-paced with no specific class days and times; everything is available online.
VAC Webpage + Registration link: https://visanalytics.cns.iu.edu/
There are typically quizzes each week; weekly assignments are due each Sunday.
- 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.
- 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
Our mission is to advance datasets, tools, and services for the study of biomedical, social and behavioral science, physics, and other networks. A specific focus is research on the structure and evolution of science and technology (S&T) and the communication of results via static and interactive maps of science (learn more at http://scimaps.org/). More information may be found here: https://cns.iu.edu/mission.html