Structured courses
Follow ordered lessons with lectures, detailed notes, visual labs, worked examples and quizzes.
StatisticsBiostatisticsData ScienceResearch Methods
Academic support for quantitative learning, analysis and research
Structured quantitative learning for university students and researchers.
My Academic Tutor helps students, researchers and early-career professionals understand statistics, biostatistics, data science and research methods with clarity, structure and responsible academic guidance.
Learn through structured course pathways, focused study resources, interactive demos and support for statistical thinking, programming, analysis and research interpretation.
5
Statistics modules
26
Foundation lessons
3
Interactive demos
July 2026
Course release
Academic support
Get guidance with concepts, methods, software, research planning and interpretation.
Resource guides
Use focused guides for revision, method choice, statistical reporting and dissertation planning.
Clear
Concepts are explained before formulas, software or technical detail.
Responsible
Guidance-based academic support focused on learning, integrity and independent work.
Interactive
Courses include visual labs, worked examples, tables, graphs and quizzes.
Specialist
Focused on statistics, biostatistics, data science and research methods.
Start with this
Choose your route in less than a minute.
The platform has clear starting points: learn through a structured course, explore a visual demo, use a focused guide, or request personalised academic support.
Platform preview
Explore the learning ecosystem.
01
Learn from zeroStart Statistics Foundation
Best if you want a structured, zero-coding statistics course with theory, examples, visual labs and quizzes.
Continue →02
Explore visuallyTry interactive demos
Use visual demos for normal distributions, regression lines and confidence intervals to understand ideas before formulas.
Continue →03
Need quick helpBrowse resources
Use in-depth guides for statistical tests, p-values, confidence intervals, regression, survival analysis and software choice.
Continue →04
Need guidanceRequest academic support
Best for topic explanation, research planning, software guidance, interpretation or dissertation support.
Continue →Find your route
Choose the right starting point.
Select the option that best matches your current goal. The guide will suggest the most suitable place to begin on the platform.
Recommended route
Begin with the Learning Hub
Choose a structured course pathway if you want organised lessons, clear explanations, visual learning, worked examples and quizzes.
Best for
Students who want to build foundations step by step rather than jumping between disconnected resources.
Step 1
Choose your subject pathway
Step 2
Study the lessons in sequence
Step 3
Use labs and quizzes to check understanding
Courses
Structured courses for quantitative learning.
Start with a pathway that matches your current level: foundations first, then applied biostatistics and machine learning.
Available
Statistics Foundation
Zero-coding theoretical statistics course for university students.
Open course →
Module 1 availableMachine Learning in Biostatistics
Prediction, validation and responsible health-data machine learning.
Open course →
Preparing next
Future learning pathways.
Research Methods & Data Analysis
Future support for dissertations, study design, variables and reporting.
R and Python for Academic Data Analysis
Future practical pathway for reproducible academic analysis.
Platform principles
Built for learning, not shortcutting.
The site is designed around responsible academic guidance: explanation, interpretation, structure and confidence.
Theory before shortcuts
Interpretation throughout
Responsible academic support
Clear learning routes
Subject areas
Support across quantitative academic subjects.
Subject support is designed around explanation, structure, interpretation and responsible academic guidance.
01
Statistics
Support with probability, descriptive statistics, inference, regression and interpretation.
ProbabilityInferenceRegression
02
Biostatistics
Health-data support covering epidemiology, survival analysis and clinical research methods.
SurvivalClinical trialsEpidemiology
03
Programming
Guidance with R, Python, SPSS, SAS and Stata for academic analysis workflows.
RPythonSPSS/SAS/Stata
04
Research methods
Support for research questions, variables, study design, analysis plans and reporting.
DesignVariablesReporting
05
Machine learning
Prediction modelling, validation, metrics, overfitting and responsible interpretation.
ValidationMetricsPrediction
06
Bioinformatics
Omics, gene expression, biological data workflows and interpretation support.
RNA-seqOmicsWorkflows
Academic integrity first
Support is designed to help students understand, not outsource.
Sessions can support explanation, software guidance, analysis planning and interpretation. They are not used for ghostwriting or misconduct.
Read academic integrity →Support modes
Guidance can be adapted to your level and goal.
Concept explanation
Revision support
Software walkthrough
Method selection
Research planning
Interpretation guidance
How support works
A clear process for responsible academic guidance.
The process is designed to keep support focused, useful and academically responsible.
01
Share your topic
Send your subject, level, topic, software and deadline so the support need is clear.
02
Clarify the goal
The focus is shaped around explanation, method understanding, interpretation or planning.
03
Learn responsibly
Support helps you understand and work independently while respecting academic integrity.
Clear boundaries
Support explains and guides. It does not replace your work.
No ghostwriting
No exam impersonation
No dishonest completion
No forced conclusions
Ready to ask?
Send a focused support request.
Include the topic, academic level, deadline and the exact kind of help you need.
Contact support →Student support record
Supporting quantitative learning across subjects and countries.
My Academic Tutor has supported students across multiple academic backgrounds and countries. Public examples are kept general, anonymised and focused on learning needs.
Common requests
Areas students commonly ask for support with
Statistics and probability
Biostatistics and medical statistics
R, Python, SPSS, SAS and Stata
Data science and machine learning
Bioinformatics and omics
Dissertation and research projects
Student locations
International student experience
Support has been requested by students based in:
IndiaUSACanadaAustraliaItalyUAEIrelandUKSouth KoreaSingaporeKuwait
Student privacy is treated carefully. Public statements avoid identifiable student details and focus instead on broad subject areas, learning needs and responsible academic support.
Request support
Need help with a quantitative subject, course or research project?
Send a focused enquiry with your academic level, topic, software and what you need help understanding.
Request academic support
Share your topic, level, software needs, deadline and the kind of explanation you need.
Submit requirement →
Join course waitlist
Register interest in premium course access, full lessons and downloadable resources.
View pricing preview →
Preview the platform
See the future dashboard experience with progress cards, saved lessons and certificates.
Open dashboard preview →
Statistics and biostatistics topics
Dissertation or research planning
R, Python, SPSS, Stata or SAS guidance
Interpreting methods and results
Premium course access enquiries
Small research or student group support