Teaching & Training

Teaching Philosophy

I believe that statistics and data science education should be rigorous, relevant, and accessible. My teaching philosophy centers on building genuine quantitative literacy — helping students not only master analytical techniques but also develop the judgment to apply them ethically and effectively in real-world contexts. I integrate active learning, real datasets, and problem-based instruction to make abstract concepts tangible.

Current Role — University of the Virgin Islands (UVI)

At UVI, I contribute to data science education through:

Guest lectures and workshops on data science methods and applications
Co-development of undergraduate data science courses and academic programs
Supervision of research interns and graduate research assistants
Development of Power BI dashboards and data literacy tools for institutional use

Undergraduate & Postgraduate Courses Taught

Over 20+ year academic career, I have designed and taught courses including:

Statistics I & II (Descriptive and Inferential Statistics)
Biostatistics for Health Sciences
Spatial Statistics and Geoinformation Systems (GIS)
Data Science and Machine Learning
Mathematical Statistics
Bayesian Inference
Survival Analysis and Longitudinal Data Analysis
Research Methods and Statistical Computing (Python, R, SAS, Stata, SPSS)
Clinical Trial Design

Short Courses & Professional Training

I have facilitated professional development workshops in:

Python, R, SAS, Stata, SPSS for health researchers
REDCap database administration
Data quality management and dashboard development
Epidemiological study design and statistical analysis planning
Data Science with Dr. Mtambo on YouTube – [Click Here]

Student Supervision

I have supervised more than 20 postgraduate research students across multiple institutions in Africa, guiding dissertation and thesis work in applied statistics, biostatistics, spatial analysis, and public health research.