Remove Big Data Remove Data Collection Remove Descriptive Analytics Remove Predictive Modeling
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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How to supercharge data exploration with Pandas Profiling

Domino Data Lab

Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task.

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What Is Embedded Analytics?

Jet Global

Use the experts in analytics to add value to your product. Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. Ideally, your primary data source should belong in this group. Diagnostic Analytics: No longer just describing.