Advanced techniques for efficient use of computers to perform statistical computations and to analyze large amounts of data. Includes version control systems; tools supporting reproducibility; functional programming; randomization and bootstrapping; dynamic data visualizations; and R package development.
A first course in R Statistical Software for data analysis. Topics include data management and wrangling, visualization, functional programming, statistical models, and resampling methods.
Introduction to the discipline of statistics, including the development of the discipline, professional ethics, data visualization and the role of statistics in the scientific enterprise.
Github repository of materials for a one day ‘Introduction to the Tidyverse’ workshop..
Github repository of materials for a three-day introductory R workshop offered to Cal Poly employees in Summer of 2019.
Github repository of puzzle-based R exercises.
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