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Data Literacy – The Chainsaw Case

A famous business school case by Harvard Professor Michael Porter on forecasting chainsaw sales dramatically illustrated the limits of statistical models when common business sense and clear-eyed thinking are missing. In the chainsaw case, students were asked to forecast the future U.S. demand for chainsaws, a growing market, and assess the relative positions of differentContinue reading “Data Literacy – The Chainsaw Case”

AI Success, But Not Business Success

In their book, “Mining Your Own Business,” Jeff Deal and Gerhard Pilcher, COO and CEO of Elder Research respectively, describe what I’ll call “The Case of the Climbing Churn.” Churn is when a subscriber cancels or fails to renew a service or subscription. A successful predictive model for identifying likely churners was deployed for aContinue reading “AI Success, But Not Business Success”

Student Spotlight – Thomas Karagiorgios

He spoke with Val Woodside, our Customer Success Specialist at about his experience in the certificate program. Tell us about your experience at It was excellent. For me it was the first time that I studied through this online process. You have to study on your own and then you can send inContinue reading “Student Spotlight – Thomas Karagiorgios”

As an Aspiring Data Scientist, What Do I Really Need to Know About Statistics?

As the popularity of data science has grown, so too has advice on how to get jobs in data science.  A common form of advice is a list of sample questions you might be asked at your job interview (see here and here for examples).  Often, the list starts out with statistics, but beware: itContinue reading “As an Aspiring Data Scientist, What Do I Really Need to Know About Statistics?”

Famous Errors in Statistics

“A little knowledge is a dangerous thing,” said Alexander Pope in 1711; he could have been speaking of the use of statistics by experts in all fields. In this article, we look at three consequential mistakes in the field of statistics. Two of them are famous, the third required a deep dive into the corporate annual reports of