Descriptive Analytics
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Descriptive analytics is a preliminary stage of data processing that creates a summary of historical data to yield useful information and possibly prepare the data for further analysis. Data aggregation and data mining methods organize the data and make it possible to identify patterns and relationships in it that would not otherwise be visible. Descriptive analytics provides information about what happened, while prescriptive analytics attempts for determine what is likely to happen in the future.
Objectives
Upon completion of this lesson, you will be able to
Upon completion of this lesson, you will be able to
- describe data through descriptive statistics
- evaluate central tendency and distribution
- explore data through visualization
- calculate correlation
- establish normality
- understand when to use non-parametric statistics
- transform and standardize data
Required Readings
Example Data Sets
Supporting Software & Tools
- TBD
Suggested Readings