Module three
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Cleaning and Preparing Data
Learning Outcomes
This module introduces foundational practices in cleaning and preparing data for analysis. Participants explore common data quality issues, discuss governance considerations, and gain experience with real-world messiness in Excel and Power BI. Emphasis is placed on context, correction strategies, and improving a dataset’s fitness-for-use.
Learning outcome one
Recognize and diagnose common data quality issues and apply practical correction strategies to improve dataset reliability.
Learning outcome two
Work with messy, real-world data using tools like Excel and Power BI.
Learning outcome three
Evaluate a dataset’s fitness-for-use.
Course Content
