Standard syllabus
R · Graduate · CS / Programming
Topics
R basics
- RStudio workflow; scripts, console, and projects
- Vectors, matrices, lists, and data frames
- Indexing, subsetting, and recycling rules
- Factors, dates, and missing data (NA) handling
- Reading/writing CSV, RDS, and common file formats
Analysis and visualization
- Summary statistics and exploratory data analysis
- Base and ggplot2 graphics: histograms, scatter, faceting
- Hypothesis tests and confidence intervals (intro)
- Linear regression with lm(); model summaries and diagnostics
- dplyr/tidyverse: filter, select, mutate, group_by, summarize
Reproducible R workflows
- R Markdown/Quarto reports
- Project-oriented workflows and renv (intro)
- Tidy data principles and reshaping
- Functions, scoping, and package structure (intro)
- Debugging and profiling R code
- Version control habits for analysis projects
Pricing calculator
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$1,162 · R · 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.