Learn R for Health Economics:
Build Models You Can Trust, Share, and Reuse Confidently

Join hundreds of health-economics professionals learning R step by step.

Start with our most popular course: Introduction to R for Health Economic Evaluation, and see real results fast.

Enroll in Introduction to R Watch a Free Talk

Trusted by 300+ professionals | Rated 4.9★ by learners worldwide

A Clear, Structured Way to Learn R, Even If You’ve Never Coded Before

Learn with guidance, real examples, and expert support every step of the way.

Step-by-step lessons

Progress from zero experience to building your first reproducible model.

12-month access

Learn at your own pace: revisit lessons anytime with ongoing access.

Practical exercises

Apply your new R skills to real-world HEOR cases and data challenges.

Live support

Join code clinics, ask questions in real time, and get expert feedback.

Not Ready Yet? Learn From Our Free Expert Talks

Get a front-row seat to expert insights on how R is reshaping health-economic modelling across pharma and academia.

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  • Immediate access
  • No credit card required
  • Practical examples

START HERE

Build a Strong Foundation in R for Health Economics

Learn essential R skills to build reproducible health-economic models from scratch. Includes lifetime code examples, 12 months of access, and live expert support.

Enroll in Introduction to R

NEXT STEPS

Continue Learning with Skill-Specific R Courses

Already familiar with R? Explore specialized courses that help you master advanced modelling and automation skills used across HTA and pharma.

State Transition Models in R

Build time-dependent models with full transparency.

Partitioned Survival Models in R

Perform survival analysis and extrapolation aligned with HTA standards.

Microsimulation Models in R

Run large-scale simulations efficiently using Rcpp.

Making Health Economic Models Shiny

Create interactive dashboards for decision-makers.

BUNDLE OFFER

The Complete R Pathway for Health Economic Evaluation

All 10 courses: Master every step, from R basics to automation and Shiny apps, in one discounted bundle.

Designed for professionals ready to fully transition to R.

Save 25% when you enroll in the full pathway,
or upgrade later as you progress.

Enroll in the Full Pathway

From Learners to Confident Health-Economics Professionals

Our courses help professionals build reproducible models, automate workflows, and advance their careers with R.

Aaron Winn

Associate Professor, University of Illinois

“This course was the best training I’ve attended. It covered many areas essential to understanding the content, including how to structure your model, vectorization, a variety of needed commands and their efficiency, creating custom functions, combining functions to create a model, plotting data, and so much more.”

Ed Wilson

Professor, PenTAG (University of Exeter)

“This course is a great resource for creating interactive decision models using R and shiny. It offered the team a great mix of presentations and hands-on exercises, with clear code walkthroughs that are perfect for both beginners and experienced modelers.”

Dawn Lee

Associate Professor, PenTAG, University of Exeter

“The R Shiny course was really useful for our team and catered well for attendees at all skill levels. We all left considerably more confident about building Shiny applications for decision models in R. Having the codebase and coursebook to keep after the course was invaluable as this allowed us to continue to build on the skills we learnt on the day.”

Dr Rami Cosulich

Research Associate, University of Sheffield

“The course was great! The slides and explanations were clear. The exercises with solutions were really helpful, and loads of example code were made available. Having access to the recordings and the online book made the whole learning experience easier. ”

Sietse van Mossel

University of Twente

“This course provides an excellent playground with a variety of hands-on R material to experimentally improve my/your health economic modelling in R (Shiny).”

Ayman Sadek

Senior Research Associate, University of Bristol

“An excellent course on building health economic models in R + a Shiny interface with many examples and expert instructors. I appreciated the personalized support received during the code clinics. This course suitable for Intermediate or Advanced R users.”

Dr Louise Linsell

Principal Statistician, Visible Analytics

“The main tutor Rob was an excellent teacher, very knowledgeable and explains things very clearly at a good pace. The course material and resources were also excellent. I would thoroughly recommend and endorse this course.”

Michael Kim

Takeda/UIC

“The Dark Peak Analytics team is second to none. Very helpful, insightful, and friendly. Would highly recommend to anyone wanting to advance their HEOR skillsets in R.”

Matthew Keane

Health Economist, Novartis/University of Nottingham

“Really enjoyable course with clear information that is directly applicable to anyone learning R no matter what level. Really enjoyed how open the instructors were to questions. The materials were easily accessed and easy to follow.”

Sodam Kim

University of Illinois

“This microsimulation in R is really well structured and informative course. Especially, they provide you a bunch of codes that you can run on your own program. I definitely recommend this course to those who are interested in applying this knowledge to their study.”

Everything You Need to Know Before You Enroll

No, zero experience required. You’ll learn everything step by step, from basic syntax to building your first reproducible model.

You’ll get 12 months of full access to materials, code demos, and live Q&A recordings, so you can revisit lessons anytime as you apply what you’ve learned.

You’ll need R (version 4.0.2 or newer) and RStudio. Both free to download and easy to install.

-> Download RStudio.

Anything R or Health Economics-related! We prioritise course questions, but you can also bring real challenges you’re facing at work or in your studies.

Yes, R-based models are now widely accepted and encouraged by agencies for transparency and reproducibility.

Absolutely. Most learners start with one or two courses and later unlock the full 10-course Pathway at a discounted rate.

Ready to Move Beyond Excel and Build Smarter Models in R?

Start your R journey today with structured, hands-on training trusted by 300+ professionals in health economics.

Enroll in Introduction to R Watch Free Talks