Amira K., Final Year Med Student
"This course made statistics finally CLICK for me. I went from dreading exam questions to actually enjoying solving them."
James T., Public Health Trainee
"The bite-sized lessons with quick checks were perfect. I scored higher in epidemiology than in any other subject this year!"
Sofia L., Resident Doctor
"The explanations are crystal clear, and the examples made everything practical. Wish I had this earlier in med school."
❓ Frequently Asked Questions (FAQ)
❓ Frequently Asked Questions (FAQ)
What is covered in this Medical Statistics & Epidemiology Course?
This course covers all high-yield topics in medical statistics and epidemiology needed for exams and evidence-based practice. Topics include types of data, probability distributions, hypothesis testing, confidence intervals, p-values, parametric and non-parametric tests, correlation, regression, diagnostic test evaluation (sensitivity, specificity, PPV, NPV, ROC curves), study designs (cohort, case-control, RCT, cross-sectional), bias, confounding, survival analysis, meta-analysis (forest plots, funnel plots), outbreak investigation, incidence, prevalence, and global health measures (DALY, YPLL, herd immunity, R₀, etc.).
Who is this course designed for?
This is an exam preparation course for medical students, public health trainees, nursing students, and healthcare professionals who struggle with biostatistics and epidemiology. It’s also ideal for clinicians who want to refresh research interpretation skills for evidence-based medicine.
Why is learning medical statistics and epidemiology important?
Medical statistics and epidemiology are the foundation of evidence-based medicine. They help you:
- Pass exams with confidence by mastering commonly tested concepts.
- Interpret research papers correctly.
- Apply evidence-based decisions in clinical practice.
Without this knowledge, exam performance and medical decision-making both suffer.
Do I need prior knowledge of statistics to join?
No. This is a beginner-friendly medical statistics course. We start from the basics (types of data, central tendency, normal distribution) and gradually move to advanced topics (regression, hazard ratios, meta-analysis).
How long does it take to complete the course?
The course is self-paced. Most students complete it in 2–4 weeks, depending on how much time they dedicate each day. You can revisit modules anytime for revision.
Will this course help me in exams?
✅ Absolutely. The course is built with exam preparation in mind. Each module is aligned to commonly tested questions in medical statistics and epidemiology exams. Quick checks and key takeaways make revision simple.
Can this course help with evidence-based medicine and research skills?
Yes. Beyond exams, this course builds skills in interpreting research studies, understanding risk measures, evaluating diagnostic tests, and critically appraising evidence — essential for evidence-based medicine.
Do you provide examples and practice questions?
Yes. Each module includes examples, case scenarios, and quick self-checks so you can apply concepts directly.
How do I access the course after enrolling?
Once you sign up, you get instant online access to all modules. You can study from your laptop, tablet, or phone — anytime, anywhere.
Ready to master medical statistics & epidemiology? 🚀
Click below to trial course and start learning today!