R for Data Science (Executive Bootcamp)
Intensive R — tidyverse, graphics, and reproducible reports.
The executive challenge
The problem this program solves
Your teams adopt r tools faster than the institution can govern them, and leadership cannot answer the board's simplest question: which decisions are now made by machines? Institutions that cannot show return eventually cut the capability — and then pay consultants to rebuild what they dismantled. This programme converts scattered r pilots into a sequenced, governed portfolio — evidence before enthusiasm, value before volume.
Context
Why this matters now
Capability
What you will be able to do
- Evaluate where r creates economic value across the organisation — and where it reliably does not.
- Govern r models and data with controls that satisfy both boards and regulators.
- Price the build, buy and partner options for r capability with real economics.
- Distinguish r automation opportunities from decisions where human judgement remains strategically important.
The IPAT Course Standard
The five-day journey
Each day is a deliberate progression in managerial capability — from strategic context, to analytical frameworks, to applied practice, to executive judgement under pressure, to a capstone that produces something your organisation keeps.
IPAT Signature Case™
Six Weeks to Prove R
A newly appointed chief data officer at a regional telecommunications group inherits a r mandate, one budget cycle to show value, and three functions that each claim ownership of the same dataset. The CEO wants a decision improved this quarter — not a strategy deck.
Your decision: Choose the single r initiative worth proving in six weeks, name what gets stopped to fund it, and decide who owns the result.
IPAT Data Lab™
A a fast-scaling e-commerce platform suspects its r spending is aimed at the wrong customers — and the intuition cannot yet be defended in the boardroom.
Dataset: Synthetic r panel for a fast-scaling e-commerce platform: the tables, formats and quality gaps your team would find on day one.
Your task: Structure the data, segment and score it, and translate the model into one operating decision about where the money should go.
A r decision memo backed by an analysis you built and can defend.
Data → Analysis → Decision, not Data → Code → Certificate
IPAT R-DIOS™ Framework · Data Intelligence for Official Statistics & Organisations
From raw data to strategic intelligence in five phases
Software-led programmes at IPAT do not teach syntax — they teach statistical data architecture, the discipline that turns r data into a strategic asset. The programme runs on the five-phase IPAT R-DIOS™ arc, adapted end-to-end to R.
Assess
Diagnose the current state of r data processing: a baseline of R proficiency, data silos, manual bottlenecks and reproducibility gaps in the workflows your institution runs today.
Architect
Design standardized, reproducible data structures: consistent naming conventions, master schemas and version-controlled projects in Git, so every r analysis stands on the same interoperable foundation.
Automate
Replace manual, error-prone steps with automated pipelines: ingest, clean and transform r data with the tidyverse, survey and srvyr packages, and automate with R Markdown and Quarto pipelines the routine reporting that consumes weeks of analyst time.
Analyze
Create decision intelligence: cross-tabulation with proper variance estimation, time-series visualization, geospatial mapping and predictive modelling — applied to realistic, anonymized r data.
Accelerate
Build for what is next: AI-ready datasets, machine learning for imputation and estimation, and interactive Shiny dashboards that put r intelligence directly in decision-makers’ hands.
Day 5 · The Capstone
What will you change when you return to work?
Build a twelve-month analytical and AI roadmap for your organisation: the value case, the data foundations, the governance, and the first 90 days.
Methodology
Frameworks you will master
- • IPAT R-DIOS™ Framework
- • IPAT Data-to-Decision Framework™
- • IPAT Executive Capability Model™
- • Value-versus-feasibility portfolio analysis
- • CRISP-DM analytical lifecycle
- • Model risk management principles (SR 11-7 adapted)
Cohorts
Upcoming cohorts
New dates are being scheduled
Register with your preferred start date and our admissions team will match you to the next available cohort — or contact us to arrange an in-house delivery for your organisation.
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