Learn R With Cloud-Based RStudio
A practical, hands-on learning platform for data science, statistics, and analytics. No setup required. Access RStudio directly from your browser with guided modules, examples, and projects.
Explore learning paths
A practical, hands-on learning platform for data science, statistics, and analytics. No setup required. Access RStudio directly from your browser with guided modules, examples, and projects.
Explore learning pathsA learning environment designed for modern analytics and real-world problem solving.
Use RStudio without installing anything. Just log in, explore datasets, write code, and build models directly from your browser.
Beginner to advanced lessons that teach the foundations of statistics, data wrangling, visualization, and modelling.
Every lesson comes with hands-on code examples, exercises, and projects inside RStudio for maximum retention.
Start in R, add SQL, and grow into full analytics workflows with short, focused courses that mirror real work.
Learn the R language from scratch — objects, scripts, and the core skills to read, transform, and summarise real datasets.
Move from “I can run R” to “I can analyse data” using tidyverse tools for wrangling, joins, and visualisation.
Learn how to query databases with SQL — selecting, filtering, grouping and joining tables to answer business questions.
Build statistical intuition while coding: distributions, confidence intervals, hypothesis tests, and simple regression.
Get comfortable with the R interface, syntax, and key data structures by building scripts directly in RStudio.
Learn data wrangling, joins, and visualisation using the tidyverse, with practical examples drawn from real datasets.
Apply statistical methods to real problems: sampling, tests, and simple models, all coded step-by-step in R.
Write your first SELECT queries and learn the foundations of working with relational data for analysis.
Combine tables, group results, and calculate metrics — the core patterns behind dashboards and reporting.
Learn the patterns that power real-world dashboards: window functions, dates, and queries designed for BI tools.
A curated sequence that takes you from zero to running analyses: core R, tidyverse, SQL for analytics, and a capstone project using both.
Focus on the skills used in reporting roles: automating reports, building reproducible analysis scripts, and combining R with SQL exports.
Quantyl will expand into Python, Streamlit, and machine learning environments — all browser-based, all practical, no installation.