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Understands and can demonstrate the fundamentals of importing data, common data transformations and outputs.
Understands the basics of machine learning concepts, when to use machine learning, and how to prepare data for modeling.
Understands a wide breadth of tool functionality and can apply knowledge to complex problems.
Skilled with the most used tools that are fundamental to data preparation and analysis and can apply knowledge to solve real-world problems.