[Ieee_vis] Give the Gift of Knowledge! Visual Analytics Certificate (VAC) Course: Jan 10-Feb 20, 2022
Borner, Katy
katy at indiana.edu
Mon Dec 13 01:45:19 CET 2021
Greetings,
If you would like to give the gift of knowledge this Holiday season, please consider sending your staff (or yourself!) to our next Visual Analytics Certificate (VAC) course which takes place Jan 10-Feb 20, 2022. Please share with colleagues, staff, and others.
Sending warm wishes during this Holiday season!
Katy Borner & Nancy Ruschman
--------------------------------------------------------------------------------------------
2022 Visual Analytics Certificate (VAC) Course
Visual Analytics Certificate: Unlock the power of data and position yourself for success.
Join us for the next Visual Analytics Certificate (VAC) course<https://visanalytics.cns.iu.edu/> which runs January 10-February 20, 2022 and earn 3 CEUs from the Cyberinfrastructure for Network Science Center (CNS) at the Indiana University Luddy School of Informatics, Computing, and Engineering. This six-week online asynchronous course is designed for the working professional and will provide the theoretical and practical grounding you need to design insightful visualizations. With applications from human resources to business intelligence, visual analytics harness today's computing power with the power of human pattern recognition to unleash the real value in your data. Developing skills to access insights to data is key to making crucial decisions in today's world. Register here<https://visanalytics.cns.iu.edu/>. Additional course information may be found here<https://visanalytics.cns.iu.edu/dld/visual_analytics_certificate.pdf>.
Employees from numerous corporate, government, education, and nonprofit organizations have found the VAC class to be valuable. Participating organizations include:
* The Boeing Company
* Biotechnology and Biological Sciences Research Council in UK (BBSRC)
* The Centers for Disease Control and Prevention (CDC)
* City of Bloomington, IN
* Cummins
* Eli Lilly and Company
* James McDonnell Foundation
* National Renewable Energy Laboratory (NREL)
* Naval Surface Warfare Center, Crane Division (NSWC Crane)
* Office of Naval Research (ONR)
* Office of Scientific and Technical Information (OSTI)
* Space Telescope and Science Institute (STSCI)
A component of the course includes working on practical, real-world projects. The project takes participants through a series of steps that allow the participant to explore various visualizations and decide which will relay the best insights given the stakeholder's objective. The project component is set up as a mock consultation with a client or stakeholder and includes the following steps: Primary Objective, Insight Needs, Stakeholder Analysis, Data Acquisition, Data Analysis Methods, Data Visualizations, Interpretation of Results.
Project examples from past VAC participants include:
* COVID-19 Impact on NSWC Crane Work Behaviors
* Supply Chain Management Strategies
* Software Development Optimization Methods
* Quality Benefits of the Use of Augmented Reality in Aviation Production
* Effects of Schedule Pressure and Bleeding Edge Infrastructure Technology on Boeing Acoustics Software Quality
* Inbound Sales Call Conversion Rates
* Hispanic Cancer Mortality
* Staffed Hospital Bed Availability
* Traffic Patterns in Alaska Over Time
* EPA Air Quality Consequent to Forest Fire Consumption of Townships
Below are testimonials from a few of our participants:
UX Researcher & Designer, Eli Lilly and Company "As a User Experience Researcher, a large part of my job is to clearly communicate my research findings and tell stories with the data. This course has given me a clear framework and methodology for creating more meaningful and useful data visualizations. Now I feel like I can hold a decent data vis conversation with the analysts I work with, enabling better collaboration and more innovative ways to share my research insights."
Biotechnology and Biological Sciences Research Council (BBSRC) Participant: "The structure of the course allowed us to very flexibly fit this learning amongst our existing busy schedules. The content was incredibly well aligned to our everyday analyses and it was particularly neat how a meeting with our international colleagues co-incidentally fell within the week we were exploring international networks as part of the VAC. A great opportunity to immediately put our latest learning into practice!"
Naval Surface Warfare Center, Crane Division (NSWC Crane) participant "For me personally, the course was excellent at delivering the theoretical framework for data-driven decision making using the Data Visualization Language framework. The weekly curriculum was iterative and extensive enough to continue forward while also performing with my professional responsibilities. I did feel that it was extraordinarily beneficial to take the certificate program within a larger cohort of professionals from the same organization, as this offered a greater impact to how we individually approached our projects with insights provided by internal colleagues as well as our external course instructors."
CNS Visual Analytics Certificate News:
* IU visual analytics course leverages power of data for business, government partners<https://partnerships.iu.edu/iu-visual-analytics-course-leverages-power-of-data-for-business-government-partners/>
* Empowered by Data Visualizations: Career-Changing Training in Visual Analytics<https://cns.iu.edu/docs/news/20201112-vac-impact-story.pdf>
Take the first step in monitoring health, science, and technology developments across your industry sector, increasing internal efficiencies, and managing communication flows. No programming or coding experience necessary. Some familiarity with statistics and the use of spreadsheets for data analysis is helpful.
Sign up now
Cost for the course is $950. For more information and to register visit https://visanalytics.cns.iu.edu/<https://visanalytics.cns.iu.edu/> or contact Nancy Ruschman at nruschma at indiana.edu<mailto:nruschma at indiana.edu>.
This course has been developed and is taught by the Cyberinfrastructure for Network Science Center<https://cns.iu.edu/mission.html> (CNS), a research center at Indiana University with nearly 20 years of experience at the forefront of data visualization. We have worked with corporations, researchers, and government agencies to render data into insights, visually.
2022 Visual Analytics Certificate (VAC) Course
Learning Outcomes and Topics
ASSIGNMENTS
Weekly quizzes and weekly assignments due each Sunday.
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;
* Knowledge of research challenges and application areas that power data-driven decision making across industries.
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
COST:
$950 for 6-week course
REGISTRATION
Registration link: https://visanalytics.cns.iu.edu/<https://visanalytics.cns.iu.edu/>
ABOUT CNS
CNS<http://cns.iu.edu/> is a research center at IU's Luddy School of Informatics and Computing in Bloomington, Indiana. For nearly 20 years, CNS has played a leading role in the field of data visualization, developing open source tools for the creation of data visualizations, offering a Massive Open Online Course in Information Visualization, co-organizing international workshops and conferences, and promoting network science and visualization through international initiatives. 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 Places & Spaces: Mapping Science: Home<http://scimaps.org/>).
--
Katy Borner
Victor H. Yngve Distinguished Professor of Engineering and Information Science
Director, CI for Network Science Center, http://cns.iu.edu<http://cns.iu.edu/>
Curator, Mapping Science exhibit, http://scimaps.org<http://scimaps.org/>
ISE and ILS, Luddy School of Informatics, Computing, and Engineering, Indiana University
Luddy Hall 4018, 700 N. Woodlawn Ave, Bloomington, IN 47408, USA
Phone: (812) 855-3256 Twitter: @katycns
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://listserv.uni-tuebingen.de/pipermail/ieee_vis/attachments/20211213/1cdf9d79/attachment-0001.html>
More information about the ieee_vis
mailing list