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Scientific and technical
Explore statistical programming, data frames, and reproducible analysis.
scores <- c(72, 81, 90)
mean(scores)COURSE CURRICULUM
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Learn how r sessions, scripts, and reproducible projects works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how expressions, assignment, and vector syntax works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how objects, environments, and lexical scope works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how vectors, factors, matrices, and missing values works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how vectorized operators and recycling rules works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how logical indexing and conditional functions works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how iteration, apply families, and purrr patterns works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how functions, formulas, and tidy evaluation works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how lists, data frames, tibbles, and grouping works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how strings, factors, dates, and regular expressions works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how warnings, errors, and missing-data boundaries works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how scripts, packages, namespaces, and renv works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how s3, s4, and r6 object systems works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how importing data and reproducible pipelines works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.
Learn how testing analyses and statistical assumptions works in R, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.