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Preview dashboard →Learning Hub
Learn quantitative subjects through structured pathways.
The Learning Hub brings together courses, modules, lessons, resources and interactive demos for statistics, biostatistics, machine learning and academic data analysis.
Platform preview
Courses, demos and study guides in one place.
This hub is designed to feel like a student dashboard while still working as a public static learning platform.
2
Flagship courses
51
Course lessons
3
Interactive demos
July 2026
Course release
Continue
Statistics Foundation
Start with Module 1 or continue through descriptive statistics, probability, inference and regression.
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Review
ML foundations
Revisit prediction thinking, validation, leakage prevention and responsible reporting for health data.
Open →
Explore
Interactive demos
Use visual tools to understand distributions, regression and confidence intervals.
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Featured pathways
Choose a pathway and study in order.
Start with Statistics Foundation if you need a base. Move into ML in Biostatistics when you are ready for health-data prediction, validation and applied modelling.
01
AvailableBeginner → intermediate
Statistics Foundation
A theory-first, zero-coding pathway covering statistical thinking, descriptive statistics, probability, inference and regression.
5 modules26 structured lessonsNo coding required
02
Module 1 availableIntermediate
Machine Learning in Biostatistics
A health-data ML pathway focused on prediction, validation, leakage, calibration, thresholds and responsible reporting.
5 modules25 planned lessonsR labs and case studies
03
Growing libraryReference support
Resources and study guides
In-depth guides for statistical tests, p-values, regression, survival analysis, software choice and analysis planning.
Guide libraryChecklistsInterpretation support
Study route selector
Not sure where to begin?
Choose the option that matches your current situation. You can move between courses, resources and support at any time.
New to statistics
Start with Statistics Foundation
Best if you need a careful conceptual base before biostatistics, machine learning or research methods.
Continue →
Ready for health-data ML
Open ML in Biostatistics
Best if you already know some statistics and want prediction, validation and interpretation for medical data.
Continue →
Need a short guide
Use Resources
Best if you need a focused explanation, checklist or interpretation guide before studying a full course.
Continue →
Need personal guidance
Contact support
Best if you are unsure what to study or need guidance with a specific topic, method or research question.
Continue →
Interactive demos
Learn visually before moving into deeper lessons.
These demos help students see ideas such as distribution shape, regression lines and confidence interval behaviour.
Need guidance?
Ask which route fits your current goal.
If you are not sure whether to use a course, resource guide, interactive demo or support request, start with the route selector or contact page.
Contact support →