Boost program
Data Analysis Boost
Bring your raw dataset; leave with clean data, a defensible analysis and publication-ready figures.
What this is
Hands-on program for researchers stuck at the analysis stage. Cleaning, analysis plan, modelling, figures and a reproducible package deposited with a DOI.
What you will be able to do
- • A cleaned, documented dataset
- • A pre-specified analysis plan and executed analysis
- • Publication-ready tables and figures
- • A deposited, citable data and code package
Workspace services used
Every module is practised inside services you already have in your account.
Start in workspace — Data Curation & RepositoriesIncluded in this program
- • Data cleaning clinic
- • Analysis plan review
- • Reproducible deposit
Syllabus
1. Weeks 1–2 · Clean
Profiling, clustering, transforms, data dictionary.
2. Weeks 3–4 · Plan
Analysis plan, assumptions, power considerations.
3. Weeks 5–6 · Analyse
Modelling, effect sizes, sensitivity checks.
4. Weeks 7–8 · Report
Tables, figures, reproducible package and deposit.
Join the next intake
Cohorts open on a rolling basis and places are limited so feedback stays personal. Create an account to reserve a place, or write to us with your topic and timeline.

