Data Analytics & Viz Course

In this course, students learn to develop desktop analytical tools, informational frameworks and visual interfaces for improving resource-usage and process effectiveness in support of these issues. They become acquainted with data acquisition, cleaning, filtering, structuring (in the form of optimization and simulation modeling) as well as prescription and practical conveyance. They become familiar with complex spreadsheet modeling, VBA coding, integration of Microsoft Power BI tools, the Palisades @RISK suite and application mobility. Students emerge with the technical skills and integrated multi-application competency needed to lead cutting edge analytical projects.
The key deliverable of the DAV course is a group-developed stand-alone application catered to the on-going decision support needs of an organization (public or private) or section of the population. These take on a range of forms, pulling in the capabilities of multiple tools with design for use in mind. On the left are a few examples of pitches, walk-throughs and live-presentations of tools developed (also see Student Project Gallery).
Two reference texts are central to the discussions of interactive analytical and visual application development.


A host of data acquisition, visualization and analysis tools, packaged for simple access and use, see the Blackbelt Ribbon Add-in - A collaboration with my former students who are now Blackbelts themselves.

BLACKBELT RIBBON add-in download:

ExtraLite Version now available for user until May 2022(or place the following URL in your Browser and check downloads: )
Full version with use cases and function directory, found in 3rd Edition Excel Basics to Blackbelt text (forthcoming May 2020).

Mobile App Projects

These apps are designed for the support of classroom discussions of descriptive, predictive and prescriptive analytics. For support in the use of these apps, please contact Dr. Bendoly @



Enterprise Applications

Reference Guides

Foundations of Data Analytics
'Standard Convention' Iconography of Data Visualization
Decision tree for Descriptive, Predictive, Predictive Analytics

Other Examples

Try my Pleuroku game on Excel (a mix of Minesweeper and Sudoku), built a few years back: