R Programming & Statistics

Learn R.
Between the chaos.

For Excel analysts tired of clicking, PhD candidates staring down a methodology chapter, and healthcare researchers who learned biology — not programming. Real R skills, paced for real lives.

Who are you?

Quantile learner 1Quantile learner 2Quantile learner 3Quantile learner 4

8,200+ learners learning R around their real lives

Tidy Data✦ggplot2 Mastery✦Regression Models✦Survival Analysis✦dplyr Pipelines✦Publication Plots✦R Without Fear✦Statistical Thinking✦Tidy Data✦ggplot2 Mastery✦Regression Models✦Survival Analysis✦dplyr Pipelines✦Publication Plots✦R Without Fear✦Statistical Thinking✦
People.

Your Guides

They learned R the hard way.
You won't have to.

Every instructor at Quantile was once exactly where you are — confused, busy, and quietly convinced that R was for someone else.

Dr. Keiko Tanaka, a Japanese-American woman with glasses, smiling at camera in a home office with books behind her

2,840

students

4

courses

Tidy Data

focus

Dr. Keiko Tanaka

Statistician & Course Lead

What I struggled with

"I spent two years in a statistics PhD program copying code from Stack Overflow without understanding why it worked. I was too embarrassed to ask."

What clicked

"The day I stopped treating R as a black box and started reading the actual error messages — really reading them — everything changed in about a week."

Now teaches

Data Cleaning & Wrangling with tidyverse

James Okonkwo, a Nigerian-American man in his 40s, standing in front of a whiteboard with a relaxed smile

1,920

students

3

courses

Clinical Research

focus

James Okonkwo

Biostatistics Instructor

What I struggled with

"I came from public health. My colleagues were running survival models in SAS and I was the only one who didn't know how. I learned R in six months while working full-time."

What clicked

"When I realized that ggplot2 was just describing what you see — layers of geometry on top of data — the whole system clicked. It's not magic, it's grammar."

Now teaches

Regression Models & Survival Analysis

Sofia Reyes-Morales, a Latina woman with curly dark hair, laughing while looking at a laptop screen

3,410

students

5

courses

Data Storytelling

focus

Sofia Reyes-Morales

Data Visualization Specialist

What I struggled with

"I was a graphic designer who kept being asked to make 'data dashboards.' I knew how things should look, but I couldn't make R do what I saw in my head."

What clicked

"The moment I made my first publication-quality ggplot chart and my client asked if I'd hired a designer — that was it. I was teaching within a year."

Now teaches

ggplot2 & Publication-Ready Visualization

The Curriculum

Twelve weeks. Stolen moments.
Real results.

Every module is designed for people with full lives — not people waiting to have time.

Beginner

Week 1–2

R Without Fear

Install R and RStudio, understand the console, write your first script, import your first dataset. No jargon, no assumptions.

R BasicsRStudioData Import

Two naptime sessions

~3 hours total

Beginner

Week 3–4

Tidy Data with dplyr

Filter rows, select columns, group and summarize. Transform your messy spreadsheet into analysis-ready data.

dplyrPipesData Cleaning

One lunch break a day for a week

~5 hours total

Beginner

Week 5–6

ggplot2 Foundations

Build scatter plots, bar charts, and line graphs. Learn the grammar of graphics and produce charts your colleagues will ask about.

ggplot2AestheticsGeoms

Three weekend mornings

~6 hours total

Your Journey

A trail paced for real lives.

Twelve weeks. Each milestone is a real skill — not a quiz badge. The path winds because learning does too.

Week 1Day OneWeek 3Clean DataWeek 5First PlotWeek 7RegressionWeek 9Pub-ReadyWeek 11CapstoneWeek 12Graduate

12

Weeks

structured but flexible

48

Lessons

each under 20 min

3–6

Hrs/week

fits around your life

∞

Access

learn at your pace

Personalized Path

Find your starting point.

Three questions. Thirty seconds. A curriculum map built around your background, your goal, and your life.

Step 1 of 333%

What's your background with data tools?

Free Download

The Family-Friendly R Study Plan

A printable 12-week schedule designed around real constraints — naptime, commutes, and Sunday mornings. Includes daily micro-lessons under 20 minutes and a progress tracker.

  • 12-week printable schedule
  • Daily micro-lesson prompts
  • R cheatsheet (2 pages)
  • Progress tracker template

Email only. No sales calls.

4.9/5

Average rating

8,200+

Learners

94%

Completion rate