Johns Hopkins University 3 credits Chemical & Biomolecular Engineering
The course introduces several statistical methods, used to analyze and extract useful information from data. Topics covered include descriptive statistics, basic probability theory, error analysis, confidence intervals, hypothesis testing, regression, design of experiments and an introduction to Bayesian Statistics. Students will also learn to perform statistical analysis of data using Python libraries. Prerequisite(s): (EN.500.113 OR EN.500.133) AND (AS.110.108 AND AS.110.109)
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