← Back to Tools
R

Tool

R

A language built specifically for statistics

Learn R's vectors, data frames, and statistical functions.

8

Chapters

17

Hours (estimated)

1

Self-paced

Part-time

About 6 weeks

1 hour a day, 3 days a week

Full-time

About 2 weeks

3 hours a day, 3 days a week

Estimated from 8 chapters (notes, practice, labs, quiz, exercise, and challenge) plus the final exam. Go at your own pace.

Curriculum

8 chapters, each with a tutorial, a live example, a quiz, an exercise, a challenge, and class practice.

  1. 1

    Introduction to R

    Vectors, and R's statistics-first design.

  2. 2

    Vectors & Data Types

    Numeric, character, and logical vectors.

  3. 3

    Data Frames

    R's table-like structure for real datasets.

  4. 4

    Control Flow

    if/else and for/while loops in R.

  5. 5

    Functions

    Defining reusable functions in R.

  6. 6

    ggplot2 Basics

    Building layered, grammar-of-graphics plots.

  7. 7

    dplyr Basics

    filter, select, mutate, and pipe syntax.

  8. 8

    Statistical Functions

    Distributions, tests, and summary statistics.

Start learning — it's free →

R is free to study, self-paced. Pass the final exam to earn an optional Certificate of Completion for $40.