Using real data problems encountered in the field, you will learn to build linear models for numerical data and categorical models for non-numerical types of data.
Use Python to import, clean, manipulate, and analyze various types of data. Draw insights, develop a hypothesis, and begin running experiments to test your assumptions. Using Python packages, you will construct visualizations that can help tell a story with your analyses and predictions. You will then practice presenting these insights.
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