How do you use feedback in data analysis?
Feedback is an essential part of data analysis, as it helps you to improve your methods, validate your results, and communicate your findings. However, feedback can also be challenging to collect, interpret, and apply, especially when you are dealing with complex or sensitive data. In this article, you will learn how to use feedback in data analysis effectively, by following these six steps:
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Chyna Poor ThunderOperations Coordinator | Process Implementations, Strategic Planning, Teamwork and Collaboration
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Amanda Fetch, MScTop LinkedIn Community AI, Research, Data Science Voice| AI Innovation Leader/Mentor| Board Director| MITXPRO AI…
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Lawrence S.Ole MbelatiSustainable Land, and Natural Resources consultant