Turn a raw data file into a one-page visual summary your stakeholders will actually use. Join instructor Mo Chen for a five-part process for AI-assisted exploratory data analysis: brief the AI on what the data is (and isn’t), profile it for problems, test hypotheses against a split of the data, land on one honest headline, and build the charts that back it up. Mo also shows where generic AI prompts fall short, and how to tell a real finding from a pattern that just happens to look like one.
This course was created by Mo Chen. We are pleased to host this training in our library.
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