“The CAP program is well suited for both math [doctorates] and others with a less technical background because it covers the entire analytics process,” Mitchell-Guthrie says. “The mathematician may bring great strengths in building the model and have gaps in framing and defining the problem.”
The CAP covers several domains, including business problem solving, analytics problem framing, model building, and lifecycle management. The range of activities covered by the CAP is based on an analysis of the skills and capabilities required to perform analytics in the real world.
The vendor-neutral nature of CAP is an important factor to consider. “The ability to use a given application and/or having programming skills are necessary but not sufficient for success in data analytics,” Mitchell-Guthrie says. “Bringing together skills in specific software and the methodology from CAP is a powerful combination for an analytics professional.”
Employer demand for specific certifications such as the CAP demonstrates its market value. Typically, large companies are the ones seeking CAP-certified professionals. Companies known to highlight the CAP credential in job postings and staff include Sports Authority, Accenture, and FedEx. “There is strong market demand forecast for analytics skills, so I expect an increasing number of people to earn the CAP,” Mitchell-Guthrie adds.
Little wonder — because, as a relatively new career path, data science has a lot going for it.
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