Quantyl is a hands-on learning platform for analytics and data science. Start with R + RStudio today, and grow into Python and SQL tracks as they launch.
No setup. No installs. Learn with real tools, guided modules, and practical projects.
Learn R by writing real code in a real workspace. Perfect for beginners, students, and analysts who want practical skills.
Quantyl helps you learn analytics and data science by doing the work: writing code, exploring data, and building projects — not watching endless videos.
If you want to learn R properly — or level up your practical workflow — Quantyl is built for you.
We’re focused on making the R experience excellent first, then expanding into Python and SQL learning paths.
Start with R today. SQL and Python content is being added progressively — Premium gets early access.
A practical starter set: basics → analysis → stats → next steps.
Learn objects, vectors, scripts, and reading real datasets.
Tidyverse workflow: wrangling, joins, and visualisation patterns.
Sampling, inference, and simple models — coded step-by-step.
SQL foundations for querying, joins, grouping, and reporting workflows.
R and RStudio foundations, analysis, and statistics.
Get comfortable with R syntax and core data structures in RStudio.
Wrangling, joins, and visualisation using the tidyverse.
Practical stats for real questions: tests, estimation, and simple models.
Coming soon: SQL for analytics and reporting workflows.
SELECT, WHERE, GROUP BY, and joins — built for analysis.
The patterns behind dashboards: joins, grouping, and metrics.
Window functions, dates, and BI-ready query structure.
Cloud, Linux, infrastructure, and AI foundations (coming soon).
S3, EC2, RDS, IAM basics, and how they connect to analytics workflows.
SSH, terminal, users, services — core VPS skills for data work.
Linear algebra, calculus, and probability intuition for ML.
Curated sequences that guide you from zero to job-ready projects.
From zero to analysis: core R, tidyverse, SQL fundamentals, and a capstone.
Reporting-focused workflow: reproducible scripts, outputs, and SQL exports.