Learning paths

A path is a recommended order of courses for a goal. You can join at the point that fits what you already know.

Quantitative thesis path

For postgraduate students planning a thesis based on survey or experimental data.

1
Research Design Essentials
Research Foundations, Foundation, 12 hours in 4 sessions
2
Writing a Research Proposal
Professional Research Skills, Foundation, 9 hours in 3 sessions
3
SPSS Essentials for Researchers
Applied Statistics, Foundation, 15 hours in 5 sessions
4
Regression Modelling in Practice
Applied Statistics, Intermediate, 18 hours in 6 sessions

For researchers working with latent constructs and questionnaire data.

1
SPSS Essentials for Researchers
Applied Statistics, Foundation, 15 hours in 5 sessions
2
Regression Modelling in Practice
Applied Statistics, Intermediate, 18 hours in 6 sessions
3
PLS-SEM with SmartPLS
Structural Models, Intermediate, 15 hours in 5 sessions

For analysts who want reproducible, code-based workflows.

1
R for Data Analysis
Data Science, Foundation, 18 hours in 6 sessions
2
Regression Modelling in Practice
Applied Statistics, Intermediate, 18 hours in 6 sessions
3
Panel Data Econometrics
Econometrics & Forecasting, Advanced, 18 hours in 6 sessions

For clinicians and health researchers, from study design to evidence synthesis.

1
Research Design Essentials
Research Foundations, Foundation, 12 hours in 4 sessions
2
Biostatistics for Clinical Research
Healthcare Research, Intermediate, 15 hours in 5 sessions
3
Systematic Reviews and Meta-Analysis
Evidence Synthesis, Intermediate, 15 hours in 5 sessions

Registration is not open yet. Register your interest in a course and we will contact you when a cohort is scheduled.