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Descriptive Analytics
Descriptive analytics is often considered the place to start when evaluating data and the historical insights needed to make effective business decisions. At first glance, descriptive data might appear as the least interesting part of the analytics ecosystem. Yet it forms the backbone of most analytics and, unlike machine learning and data science, most analysts, even those without quantitative backgrounds, intuitively understand descriptive results. Faculty will examine the synergies between data and the decisions we make, and by the end of the program, participants will comprehensively understand data collection and analysis, so the best data drives the best outcomes for your organization.
- Credits: 0 credits
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*This is for 30 credit hour programs only.