The University of Texas at Austin 3 credits Statistics and Data Sciences
Introduction to the principles and practice of data science. Explore R and reproducible data analysis; summarizing data using descriptive statistics; data visualization and storytelling; data wrangling and relational data; basic prediction and classification using regression models; and programming in R. Only one of the following may be counted: Statistics and Data Sciences 313, 322E, 348. The equivalent of three lecture hours a week for one semester.
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