This course teaches you how to use analysis of variance and regression methods to analyze data with a single continuous response variable, and introduces statistical model building.
You learn how to perform elementary exploratory data analysis (EDA) and discover natural patterns in data. Important statistical concepts such as confidence intervals and hypothesis testing are introduced and applied. The course also covers principles of model building, including model interpretation and addressing violations of statistical assumptions. Capstone practices at the end of the course allow students to apply their knowledge.
Duration: 4 half-day sessions
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