Free Course — No signup required

Learn R Programming
in 5 Days

Data frames, ggplot2, statistical modeling, machine learning, and interactive Shiny apps.

5 lessons
Self-paced
~60 min/day
Free forever
No account needed
Start Day 1 — Free → See what's covered
What you'll learn

R Programming in 5 Days

Free 5-day R programming course. Data frames, ggplot2, statistics, machine learning with caret/tidymodels, and Shiny.

  • Load and wrangle data with dplyr: filter, mutate, group_by, summarize, join
  • Visualize data with ggplot2: scatter plots, bar charts, facets, themes, and publication quality
  • Run statistical tests: t-test, chi-square, ANOVA, and interpret p-values correctly
  • Train and evaluate ML models with caret and tidymodels on real datasets
  • Build an interactive Shiny web app with reactive inputs and live charts
tidyverse
ecosystem
ggplot2
visualization
Shiny
apps
$0
cost
5-Day Curriculum

Every lesson builds on the last.
No theory without practice.

01
R Basics and Data Frames
Vectors, data frames, readr, dplyr verbs, pipes
dplyrtibblepipereadr
→
02
ggplot2
Grammar of graphics, geoms, aesthetics, facets, themes
ggplot2geom_pointfacet_wraptheme
→
03
Statistics
t-test, chi-square, ANOVA, correlation, linear regression
t.testlmcoranova
→
04
Machine Learning
caret, tidymodels, cross-validation, feature engineering
carettidymodelscross-validationROC
→
05
Shiny
reactivity, UI layout, renderPlot, server logic, deployment
ShinyreactiverenderPlotshinyapps.io
→
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Your instructor
B
Bo Peng
Founder, Precision AI Academy

Kaggle Top 200 data scientist. Trained 400+ professionals across universities and federal agencies. Built production systems at scale. Every lesson has concrete examples and exercises you can finish in under an hour.

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