Don Huesman




huesman at tech showcase 150-150Don Huesman is the Managing Director of the Innovation Group at the Wharton School. Previously, Don held positions at Wharton supervising technology support for the School’s academic departments and faculty, and overseeing the use of technology in Executive Education. Don has been a lecturer in Wharton’s graduate and undergraduate programs, teaching courses in IT and Decision Sciences. Don is currently a doctoral student at Penn’s Graduate School of Education studying higher education management, technology enabled learning environments and non-traditional adult learners.

In the early 1980′s, Don was an entrepreneur and software pioneer in the personal computer industry, co-founding the company that produced The Organizer, the first personal information manager for PCs, as well as the first TSRs – software programs that hide in memory until needed. His company put the first calendars, to-do lists, and contact management systems on personal computers.

Don has taught the strategic use of information systems in a variety of executive education programs, including Wharton’s Advanced Management Program, the International Forum and the American Institute, as well as programs for the Securities Industry Association, the Council for Insurance Agents and Brokers, ASIS, Morgan Stanley, Merrill Lynch, Johnson & Johnson, GlaxoSmithKline, Dupont, and the Siam Cement Corporation, among others.

More info here.

E.g., 2016-10-23
E.g., 2016-10-23
E.g., 2016-10-23
Oct 24th 2016

The simple spreadsheet is one of the most powerful data analysis tools that exists, and it’s available to almost anyone. Major corporations and small businesses alike use spreadsheet models to determine where key measures of their success are now, and where they are likely to be in the future. But in order to get the most out of a spreadsheet, you have know how to use it. This course is designed to give you an introduction to basic spreadsheet tools and formulas so that you can begin harness the power of spreadsheets to map the data you have now and to predict the data you may have in the future.

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