Workshop sponsored by:
Workshop
Sunday, September 30, 2012 in Boston
Three hour: 1:30pm - 4:30pm
Accelerating Discovery with Visualization: Hands-On Workshop
Intended Audience: Practitioners interested in gaining insights faster and having more impact with visualization.
Knowledge Level: No prior experience required. You will be provided hands-on instruction on how to use JMP.
Workshop Description
This half-day workshop provides a hands-on experience using JMP's interactive, dynamic data visualization and analysis capabilities as well as JMP's interactive, dynamic information presentation. Regardless of your current tool use—spreadsheets, writing code, or other—you will see how visual exploration speeds your time to value and how compelling visualizations can compel action. You will experience a visual productivity boost, making your analysis efforts more efficient and effective.
The instructor, a world-reknowned author, professor, speaker, and thought leader, will lead participants with hands-on visual discovery and story-telling:
- A short Introduction to JMP
- An overview of a variety of visual data analysis methods and examples to speed discovery
- A tour of information visualization possibilities to tell the data's stories
- Options to share your results:
- For repeatability and collaboration: journals, scripts, and apps
- For decision making and impact: data movies, dropboxing to iPad for display on the go and more
Hardware: Bring Your Own Laptop
Each workshop participant is required to bring their own laptop running Mac or Windows. A trial version of JMP will be made available to all registered participants prior to the workshop.
Attendees receive an electronic copy of the course materials and related JMP examples at the conclusion of the workshop.
Schedule
- Workshop starts at 1:30pm
- Break: 2:30 - 2:50pm
- End of the Workshop: 4:30pm
Instructor
Dick De Veaux, Professor of Mathematics and Statistics, Williams College
Richard D. De Veaux, PhD, is a Professor in the Department of Mathematics and Statistics at Williams College in Williamstown, MA. An expert in applied statistics, his professional interests include data mining methodology and its application to problems in science and industry, as well as model selection and other problems for large data sets.
De Veaux holds a doctorate in statistics and a master's degree in education from Stanford University. A summa cum laude graduate of Princeton University, he earned bachelor's degrees in civil engineering and mathematics.
Before joining the Williams faculty, he served on the faculty at Princeton and at The Wharton School of the University of Pennsylvania. He has also been a visiting research professor at the Institut National de la Recherche Agronomique in Montpellier, France; the Université Paul Sabitier in Toulouse, France; and the Université René Descartes in Paris. In 2006-2007 he was the William R. Kenan Jr. Visiting Professor for Distinguished Teaching at Princeton University.
De Veaux is a Fellow of the American Statistical Association and the author of many research papers. He is co-author, with Paul Velleman and David Bock, of several critically acclaimed textbooks, including Intro Stats and Stats: Data and Models.
