[Infovis] Visual Analytics Course | 5 hours x 6 weeks | Start: March 25, 2019

[Borner, Katy]

Dear all,
We are excited to let you know that much of the material from http://scimaps.org/atlas2 plus real world case studies are now available in the below Visual Analytics course. The course also features several of the new methods for evaluation, performance analysis, science of science studies, and reporting that are published in https://www.pnas.org/modeling

It would be great if you can communicate the existence of this new course to your colleagues so many can benefit from this opportunity. Let us know if there are questions.

Thank you and best regards from Bloomington,
K

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New: Visual Analytics Course | 5 hours x 6 weeks | Start: March 25



Ready to boost your data skills through learning visual analytics? This six-week online course designed for the working professional provides the theoretical and practical foundations you need to design insightful visualizations. These essential skills have application across your entire organization, from human resources to business intelligence. Visual analytics harnesses today's computing power with the power of human pattern recognition to unleash the potential in your data for monitoring developments across your industry sector, increasing internal efficiencies, managing communications and distribution flows, and driving informed decision-making.



Course begins March 25, 2019

Register for course at https://expand.iu.edu/browse/sice/cns/courses/visual-analytics-2019-03



Handout: https://cns.iu.edu/docs/handouts/Visual-Analytics-Certificate_hi.pdf



Requirements: No programming experience necessary. Familiarity with statistics and use of spreadsheets is helpful.



The course was developed by the Cyberinfrastructure of Network Science Center (CNS) at the School of Informatics, Computing, and Engineering at Indiana University. CNS is a research center with more than 20 years of experience at the forefront of data visualization, known for its work with corporations, researchers, and government agencies interested to render data into actionable insights.



We look forward to empower you,

Katy Borner, Michael Ginda, Andreas Bueckle

Visual Analytics Instructors

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Katy Borner
Victor H. Yngve Distinguished Professor of Engineering and Information Science
Director, CI for Network Science Center, http://cns.iu.edu
Curator, Mapping Science exhibit, http://scimaps.org

ISE and ILS, School of Informatics, Computing, and Engineering, Indiana University
Luddy Hall 4018, 700 N. Woodlawn Ave, Bloomington, IN 47408, USA
Phone: (812) 855-3256  Fax: -6166