This course is a compact primer in statistics as a foundation for data-driven business analysis. A selection of concepts include descriptive statistics, probability, inference, correlation, and regression. The course also exposes students to basic Python programming for use in statistics.
This course is a compact primer in statistics as a foundation for data-driven business analysis. A selection of concepts include descriptive statistics, probability, inference, correlation, and regression. The course also exposes students to basic Python programming for use in statistics.
You will learn to calculate descriptive statistics and generate basic visualizations using Python; explain principles of probability and derive measures related to probability functions; communicate the uncertainty in statistical estimates; and perform regression analysis and distinguish between correlation and causation.
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