STEM / applied
R for data science · Undergraduate · Data science
Learning objectives from the R for data science syllabus, grouped by unit. Click an objective for study materials.
Learning objectives
Click an objective for study materials.
R and tidyverse core
- RStudio/Posit workflow: scripts, projects, and packages — RStudio/Posit workflow: scripts, projects, and packages
- Vectors, lists, factors, and data frames / tibbles — Vectors, lists, factors, and data frames / tibbles
- dplyr verbs: filter, select, mutate, arrange, summarize, group_by — dplyr verbs: filter, select, mutate, arrange, summarize, group_by
- Joins and relational data with dplyr — Joins and relational data with dplyr
- tidyr pivots and nesting (intro) — tidyr pivots and nesting (intro)
Visualization and reporting
- ggplot2 layers, aesthetics, and facets — ggplot2 layers, aesthetics, and facets
- Themes, scales, and accessible color choices — Themes, scales, and accessible color choices
- Quarto/R Markdown for reproducible reports — Quarto/R Markdown for reproducible reports
- Caching and knitting pitfalls — Caching and knitting pitfalls
- Tables with gt or kable (survey) — Tables with gt or kable (survey)
Modeling in R
- Formula interface with lm/glm (intro) — Formula interface with lm/glm (intro)
- tidymodels or caret survey (course-dependent) — tidymodels or caret survey (course-dependent)
- Train/test splits and resampling (intro) — Train/test splits and resampling (intro)
- Model diagnostics and residual plots — Model diagnostics and residual plots
- Classification metrics overview — Classification metrics overview
What each unit includes
Open a unit below for full materials. Typical resources:
- Study guide
- Exam Strategy
- Common Mistakes
- Worksheets
- Word problems
- Mixed Practice
- Multi-Unit Problems
- Review
- Practice test
- Answer key
Study units
Each unit includes a study guide, worksheets, review, practice test, and answer key. One unit is free; subscribe for the full class.
- R and tidyverse core
RStudio/Posit workflow: scripts, projects, and packages
Coming soon - Visualization and reporting
ggplot2 layers, aesthetics, and facets
Coming soon - Modeling in R
Formula interface with lm/glm (intro)
Coming soon
Pricing calculator
Choose materials, tutoring, or both — or book a single session as needed. Customize your plan on the subscribe page.
$1,162 · R for data science · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.