Professional Development Seminars
|Practical Data Visualization with R||Saturday, October 3, 2015 - 8:00am||Robert Kabacoff, Ph.D.||
Back by Popular Demand!
In 2014 Robert Kabacoff delivered a GBC/ACM seminar on R. That seminar was a great introduction to R, focusing on learning R and applying it to Big Data Analytics. The attendees wanted more - specifically more on using R for data visualization, graphics, and presentations. Based on this demand, Dr. Kabacoff has agreed to deliver a follow-on workshop dedicated to visualization.
Visualization in R
Data visualization has become a central feature of modern data analysis. The R platform provides one of the most flexible and powerful platform for graphing data, understanding and evaluating statistical models, and communicating results to others.
This day-long workshop will provide practical review of R’s major graphing capabilities, including its base functionality and exciting new capabilities provided by add on packages (including ggplot2, ggvis, and rCharts).
|R for Software Developers and Data Analysts||Saturday, June 28, 2014 - 8:00am||Robert Kabacoff, Ph.D.||
Big Data Analytics
If you are looking at this workshop, you probably have some data that you need to collect, summarize, transform, explore, model, visualize, or present. If so, then R is for you! R has become the world-wide language for statistice, predictive analytics, and data visualization. It offers the widest range of methodologies for understanding data, from the most basic to the most complex and bleeding edge.
|Improving the User Experience For the Very First Time||Saturday, June 8, 2013 - 8:00am||Jared Spool, User Interface Engineering||
Great Design for Competitive Edge
Many organizations are discovering that a great user experience can provide them a powerful competitive edge. A great product or service’s user experience increases revenues, decreases costs, and builds long-term customer loyalty.
For these organizations, it’s the first time they’ve made a it a priority to improve the user experience of their designs. Doing this for the first time can be tricky. It involves technical, process, and cultural changes across the organization.