There is a growing and widely recognized need for highly qualified personnel in this emerging area of data science. The gap between demand for and supply of Data Scientists is well documented. 

For example, an article from Datanami (Tracking the Data Science Talent Gap”, Alex Woodie, Datanami, March 25, 2021) noted the following: “Back in 2018, the research firm Gartner said there would be a shortage of 250,000 data scientists in the United States by 2022. 

A year earlier, McKinsey put the national gap in data scientists and others with deep analytical expertise at 140,000 to 190,000 people by 2021, resulting in demand that’s 60 percent greater than supply. 

In 2021, the consulting firm Accenture found that more than 90 percent of its clients planned to hire people with data science expertise, but more than 40 percent cited a lack of talent as the number one problem.