This is the second part of a two-semester sequence focusing on programing and data analysis using R. Taken along with the Big Data Computing Foundations sequence on CS methods for data science. The course focuses on more advanced R such as distribution theory via simulation methods, statistical modeling: A/B testing, ANOVA, multiple linear regression, logistic regression, multivariate analysis. Prereq: 5401, 5621, and enrollment in data analytics major.
This is the second part of a two-semester sequence focusing on programing and data analysis using R. Taken along with the Big Data Computing Foundations sequence on CS methods for data science. The course focuses on more advanced R such as distribution theory via simulation methods, statistical modeling: A/B testing, ANOVA, multiple linear regression, logistic regression, multivariate analysis. Prereq: 5401, 5621, and enrollment in data analytics major.
