Follow at your own pace, with 12 months access to extensive course materials, code demos and exercises. Ask questions of our experts at our live code-clinics or the course discussion forum.
.png)
Our live code clinics for this session of the course will be run at the following times. Attendance is optional, and we are able to accommodate questions via email.
2nd April 2025: 1-2pm London (8-9am New York; 5-6pm Dubai)
9th April 2025: 1-2pm London (8-9am New York; 5-6pm Dubai)
16th April 2025: 1-2pm London (8-9am New York; 5-6pm Dubai)
23rd April 2025: 1-2pm London (8-9am New York; 5-6pm Dubai)
Feedback from previous courses
“The format worked well (mix of taught sessions and code clinics), tutors were all great and very knowledgeable and engaging. Really appreciated being able to get feedback on my code. I've come away feeling a lot more confident, and also of how much left I have to learn.”
Delegate from FTSE100 Pharma
“The course delivery has been great! I particularly appreciate the live and updated content and the accompanying coursebook.”
Delegate from GSK
“It was easy to follow, every material was easily accessible and it was structured in a very manageable way.”
Delegate from the University of Sheffield
“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.”
Professor Ed Wilson, 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.”
Dawn Lee, Associate Professor, PenTAG, University of Exeter
“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. ”
Dr Rami Cosulich, University of Sheffield
“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.”
Aaron Winn, Associate Professor, University of Illinois
“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. ”
Michael Kim, Takeda/UIC
“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. As a beginner, I found the approach of teaching base R before learning package functions much easier to grasp. I have been on previous R courses for beginners and left in a state of confusion. ”
Delegate from HEOR consultancy
“Really accessible, loved the content with practice questions. This made it far less daunting for a complete beginner like myself.”
Delegate from NHS Scotland
Join the mailing list to get the latest updates on our courses.
For 12 months. Some of our materials are also downloadable, so you can still refer to them after that period.
Course materials are provided one month prior to the first code clinic, allowing plenty of time to access the materials prior to the live sessions.
To run the code provided, we recommend delegates have R Version 4.0.2 (2020-06-22) or newer, and RStudio (https://www.rstudio.com/products/rstudio/download/)
Yes, we teach bespoke courses on a range of other topics in addition to teaching these topics in live sessions within Industry, Universities and Government.
Yes, you'll receive an invoice by email after booking.
Yes, we will respond to questions sent via email or on the dedicated discussions board of the course platform.
Those from LMIC should book using the 'Public Sector' price. If this is not possible please feel free to contact us directly.
Anything you like. We will prioritise questions about the course materials, but feel free to bring any other challenges you are facing (related to R or Health Economics).
It is possible to book for others using a 'gift' purchase. We do offer discounts for large group bookings, please contact us to get a booking link.
