This course is currently not scheduled.
Available On Request
Before we can analyze, visualize and present our data, it must be checked for quality, accuracy, and format. Frequently, the dataset needs to be modified, or "cleaned" in various ways to eliminate errors and prepare it for use. This workshop will introduce participants to common issues with removing or correcting "dirty" data, datatype formatting, quality considerations and other aspects of preparing data for use. Several free or low-cost tools will be presented to demonstrate how these issues can be resolved effectvely and efficiently.
Learners will be able to:
To receive CE credit, participants will complete a hands-on data prep assignment, involving the use of a free data cleaning tool.
It is designed for individual participation; each individual must register.
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