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Learn survey design using common design structures followed by visualizing and analyzing survey results.
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Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.
Master sampling to get more accurate statistics with less data.
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
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