Statistics
Interactive Statistics Demos
Use visual tools and calculators to explore confidence intervals, uncertainty, regression and statistical interpretation.
Try demos →Personalised TutoringStructured CoursesInteractive DemosLive DashboardsStatisticsMathematicsBiostatisticsHealth Data ScienceBioinformaticsResearch MethodsDissertation PlanningR SupportData AnalysisResponsible GuidancePersonalised TutoringStructured CoursesInteractive DemosLive DashboardsStatisticsMathematicsBiostatisticsHealth Data ScienceBioinformaticsResearch MethodsDissertation PlanningR SupportData AnalysisResponsible Guidance
My Academic Tutor
Dive into Quantitative Learning.
A learning platform combining structured courses, interactive statistical demos, in-depth resources and responsible academic support for students learning statistics, mathematics, biostatistics, health data science, bioinformatics and research methods.
Courses
Courses and upcoming learning routes.
Start with the available learning tools, then join the waitlist for upcoming structured courses in statistics, biostatistics, epidemiology, regression, survival analysis and machine learning.
Available now
Start learning today.
Study guides
Statistics and Biostatistics Resources
Read detailed guides on p-values, confidence intervals, regression, probability, study design and data interpretation.
Read resources →Upcoming courses
Join the waitlist for the next course releases.
Statistics
Opens July 2026Statistics Foundation
5 modules and 26 theoretical lessons covering statistical thinking, probability, inference and regression. Lesson 1.1 is open now; the full course opens July 2026.
Join waitlist →Biostatistics
From September 2026Biostatistics Foundation
A guided route through health data, study design, clinical interpretation and biomedical evidence. Releases from September 2026.
Join waitlist →Epidemiology
From September 2026Epidemiology and Study Designs
A structured pathway on cohort studies, case-control studies, bias, confounding and population evidence. Releases from September 2026.
Join waitlist →Regression
From September 2026Regression Analysis
A focused route through linear regression, logistic regression, assumptions, model checking and applied interpretation. Releases from September 2026.
Join waitlist →Survival analysis
From September 2026Survival Analysis
A clinical statistics route through time-to-event data, Kaplan-Meier curves, Cox models, hazards and censoring. Releases from September 2026.
Join waitlist →Machine learning
Opens July 2026Machine Learning in Biostatistics
A medical machine-learning pathway for prediction modelling, validation, calibration, interpretation and responsible clinical use. Lesson 1.1 is open now; the full course opens July 2026.
Join waitlist →Course access timeline
What is open now, what opens next.
Start with the open sample lessons, then join the waitlist or return for the main course release in July 2026.
Open now
Two sample lessons are available
Statistics Foundation Lesson 1.1 and Machine Learning in Biostatistics Lesson 1.1 are open now so students can preview the teaching style and course structure.
- • Statistics Foundation · Lesson 1.1
- • Machine Learning in Biostatistics · Lesson 1.1
July 2026
Main course pathways open
The remaining lessons in Statistics Foundation and Machine Learning in Biostatistics open in July 2026.
- • Statistics Foundation remaining lessons
- • Machine Learning in Biostatistics remaining lessons
From September 2026
Additional subject routes release gradually
Other structured routes will be released one by one after the main July course launch.
- • Biostatistics Foundation
- • Epidemiology and Study Designs
- • Regression Analysis
- • Survival Analysis
- • Other specialist pathways
Academic network
Built with academic training, structured resources and responsible support.
My Academic Tutor is a learning platform and academic-support network for statistics, biostatistics, mathematics, health data science and research methods. The platform combines study guides, structured courses, interactive demos and support from a focused academic network.
Academic direction
Rahul has an MSc in Statistics from Indian Institute of Technology Kanpur and is currently studying MSc Medical Statistics and Health Data Science at University of Bristol, UK.
Academic direction
Rahul supports curriculum planning, learning-resource development and quality standards for the platform.
Focused tutor network
Enquiries are reviewed and directed to the most suitable available tutor, resource or learning pathway.
Responsible support
Support is designed for explanation, planning and understanding. We do not support ghostwriting, exam impersonation or dishonest completion of assessed work.
Academic backgrounds represented
Indian Institute of Technology KanpurIndian Institute of Technology BombayDelhi Technological UniversityUniversity of DelhiUniversity of Bristol
Platform credibility
Built for students who want clearer quantitative learning.
My Academic Tutor brings together structured resources, course pathways, interactive demos and responsible academic support for students learning quantitative subjects.
Since 2020
Experience supporting quantitative learners through structured academic guidance.
25+
In-depth study guides across statistics, biostatistics, regression and research methods.
5+ areas
Statistics, mathematics, biostatistics, health data science and research methods.
StatisticsMathematicsData scienceBiostatisticsBioinformaticsConcept explanationStudy planningResearch-method guidanceData interpretationRegression supportProbability foundationsDissertation planningStatistical test selectionModel interpretationAcademic writing structure
How support is matched
Not just a booking form — a guided support pathway.
My Academic Tutor reviews each enquiry and directs students towards the most suitable tutor, resource or learning pathway. This helps keep support focused, appropriate and academically responsible.
01
Submit an enquiry
Tell us the subject, academic level, topic, software and type of support needed.
02
Review
The enquiry is reviewed for subject fit, academic level, urgency and academic-integrity suitability.
03
Match
The student is directed to a suitable tutor, resource, course pathway or learning demo.
04
Learn responsibly
Support focuses on understanding, planning, interpretation and independent work.
Academic integrity
We do not support ghostwriting, exam impersonation or dishonest completion of assessed work. Guidance is designed to improve understanding and independent academic confidence.
Support options
Subject-wise support, matched to the student’s level.
My Academic Tutor reviews each enquiry by subject area, education level, topic and support type. Students may be directed to a suitable tutor, resource, course pathway or visual demo.
Pricing approach
Pricing is shared after enquiry review because support needs vary by subject, academic level, urgency, tutor availability and support type. Students receive clear details before confirming any support.
Subject areas
Focused quantitative support.
The examples below are not fixed limits. They show common areas where students ask for guidance, but each enquiry is reviewed individually.
Statistics
Support may include probability, distributions, hypothesis testing, confidence intervals, regression, data summaries, statistical reasoning and related topics.
Mathematics
Support may include algebra, calculus, linear algebra, probability, optimisation, quantitative reasoning and related mathematical topics.
Data Science
Support may include data cleaning, exploratory analysis, modelling concepts, validation, interpretation, reporting and related data-analysis topics.
Biostatistics
Support may include clinical data, study design, medical statistics, survival analysis, diagnostic reasoning, health evidence and related topics.
Bioinformatics
Support may include omics concepts, sequence-analysis ideas, biological data interpretation, computational biology foundations and related topics.
Research Methods
Support may include research questions, study design, methodology planning, analysis strategy, interpretation of results and related research tasks.
Education level
School / Foundation
For students building confidence with core ideas, formulas, graphs and problem-solving basics.
Undergraduate
For module support, coursework understanding, statistics labs, applied methods and exam preparation.
Master’s
For advanced modules, dissertation planning, statistical modelling, research design and interpretation.
Research / Dissertation
For support with research questions, analysis planning, method choice, reporting and critical interpretation.
Professional upskilling
For learners who want to strengthen quantitative, statistical or data-analysis understanding for work.
Common support types
Concept explanationStudy planningMethod selectionSoftware directionData interpretationModel interpretationResearch planningDissertation support
Course waitlist
Get early access to upcoming course releases.
Join the waitlist for Statistics Foundation, Machine Learning in Biostatistics and future applied quantitative courses.
Release updates
Early access alerts
Course announcements
Learning Hub guidance
Featured releases
Statistics FoundationML in BiostatisticsJuly 2026
Interactive calculator
Calculate confidence intervals for a mean.
Enter raw data or summary statistics, choose a Z or T interval, and see the confidence interval, graph, 3D view and interpretation update instantly.
Confidence interval calculator
Calculate a confidence interval for a mean.
Enter raw data or summary statistics, choose a z or t interval, and see the interval, graph, 3D view and interpretation update instantly.
Input type
Interval type
Statistics, Biostatistics and Health Data Science Learning Routes
My Academic Tutor provides online statistics tutoring, biostatistics tutoring, health data science learning, research methods support and interactive statistics demonstrations.
Common questions
Before you send an enquiry
A few quick answers to help you decide whether My Academic Tutor is the right fit.
Who is this support for?
Students studying statistics, biostatistics, health data science, research methods or quantitative analysis at school, university or postgraduate level.
Do I need coding experience?
No coding is needed for the Statistics Foundation course. Advanced health data science and machine learning materials may include R or Python later.
How quickly will I hear back?
Most enquiries receive a reply within 24–48 hours. Please include your subject, academic level and the type of support you need.
Academic support
Get clearer guidance for quantitative work.
Send your topic, level, software and the type of explanation you need. Support is focused on learning, planning, interpretation and responsible academic progress.
Academic integrity
Guidance supports learning, interpretation and planning. It does not replace independent academic work.