The Full Programme
Everything covered in both tracks, dates, and fees.
Pick the track that matches where you are, or scroll through both to plan ahead. Every module is taught hands-on, with real datasets, by facilitators who use these methods in their own research.
Two tracks, one destination.
Which track is right for you?
Both run in Lagos or online, and both end with a certificate of participation.
Track 1
Basic & Intermediate Statistical Analysis Training
Start from first principles and build up to normality testing, graphics, and AI-assisted analytics.
Dates:
5th – 8th October, 2026
Format:
NIMR Conference Hall, Yaba, Lagos – or online via Zoom
Best For:
Health researchers, students, and analysts new to formal statistical training
N146,000
early bird · before 20th Sept, 2026
Track 2
Advanced Statistical Analysis Training
For those with prior statistical grounding — logistic and survival analysis, ROC curves, mixed models, and AI in data analytics.
Dates:
Physical: 9th, 10th & 12th Oct
Online: 17th, 24th & 31st Oct, 2026
Format:
NIMR Conference Hall, Yaba, Lagos – or online via Zoom
Best For:
Past participants, or anyone with existing statistical and Stata knowledge
N175,000
early bird · before 20th Sept, 2026
What you’ll actually learn
Full curriculum, module by module
- Basic statistical concepts
- Introduction to statistical software
- Introduction to Stata software and interface
- Descriptive statistics
- Bivariate analysis (parametric & non-parametric tests)
- Chi-square, t-test, ANOVA, Mann-Whitney U, Kruskal-Wallis test, Pearson and Spearman correlation
- Test of normality
- Basic graphics (box plot, scatter plot, histogram, etc.)
- Artificial Intelligence in Data Analytics
Designed for
- Health researchers
- Undergraduate & postgraduate students
- Statisticians & data analysts
No prior statistical software experience required. You’ll leave running your own analysis in Stata with confidence.
- Data management using Stata (data cleaning, data entry, data coding, data manipulation)
- Logistic regression (binary, multinomial, ordinal)
- Survival analysis (Kaplan-Meier plot, Cox proportional hazard)
- ROC curves, Younden's index, kappa scores, Crombach's alpha
- Machine learning principles, workflow, and analysis
- Mixed models
- Robust / advanced data interpretation and reporting
- Artificial Intelligence in Data Analytics
This course assumes
- You've attended our Basic & Intermediate training, or
- You already have foundational statistical and Stata knowledge
Not sure which track fits? Message us and we’ll help you decide before you pay.
Format & Schedule