Dr.Isaac Gottlieb

Area Of Expertise : Management Science
35 Years Of Experience
Training Industry : Multi Industry

For more than 25 years Dr. Isaac Gottlieb has been teaching Excel workshops for MBA students in a number of universities, including, Columbia, NYU, Rutgers and others in the US and other countries.  In addition, he taught courses of Management Science and Statistics for Managers (always) using Excel. Over 100,000 students have attended his workshops and courses over the past 25 years.

He received the Microsoft MVP – Most Valuable Professional – award for the years 2014-6. “A Microsoft Most Valuable Professional (MVP) is an award for individuals who have exhibited exceptional technical expertise and a talent for sharing knowledge within their technical community.”  (From Microsoft’s site.)

Isaac Gottlieb has taught how to use Excel—and how to apply it effectively to various business disciplines—to thousands corporate professionals from leading multinational companies as well as small private business corporations. Among them are Johnson & Johnson, Merck, Pfizer, Procter & Gamble, Caterpillar, Vornado, El-Al Airlines, Microsoft, Intel, Boeing, NCR, Chrysler, Sealed Air, JPMorgan, Morgan Stanley, 3M, H-P, and the New York City Economic Development Corporation.

2 results Found
Live Webinar

The Data Ribbon and PivotTables

The purpose of this workshop is to use the features of the data ribbon and the PivotTable of Excel for what we call datamining. Using the process of extracting and discovering patterns in small and large data sets involving methods like sorting, filtering and ...

  • Basic & Intermediate & Advanced
  • 90 Mins
  • Jul 29, 2024
Recorded Webinar

Excel What-if-Analysis decision-making tools

The objective of this workshop is to cover the What-if Analysis set of decision-making tools. It enables the user to investigate what is the impact of input changes on outputs. This allows the decision-maker to make wiser choices for an optimal outcome.

  • Basic & Intermediate & Advanced
  • 90 Mins