January 2023
Intermediate to advanced
272 pages
4h 8m
English
With today’s high demand for data scientists and the high salaries that they command, it’s often not practical for companies to keep them on staff. Instead, many organizations work to ramp up their existing staff’s analytics skills, including predictive analytics. But organizations need to proceed with caution. Predictive analytics is especially easy to get wrong. Here are the first three “don’ts” your team needs to learn, and their corresponding remedies.
As fashionable as it is, “data science” is not a business objective or a learning objective in and of itself. This buzzword means nothing more specific than “some clever ...
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