On September 17, 2024, data science and engineering practitioners gathered at Impact Hub Zürich to attend our MiraiLabs workshop Scale Your Analytics: Leveraging Apache Spark in Python and R We’re happy to report that the event was a resounding s...

Expand your data science toolkit with our “Shiny” learning path. Dive into programming your very first shiny app, ensuring its brilliance and stability before launching it into production. R Shiny facilitates data science by integrating your code wi...

With our “Introduction to R” learning path you can add R to your data science skills: from the basis of the syntax to building and hosting an R package on GitHub. R stands out as a programming language for statistical computing and data visualizatio...

We are happy to announce our 6th series of workshops, to take place in April-May 2024. Between April and May, we are proposing again two learning paths: R & R Shiny. Visit the current workshop page for all the details. We focus on bringing our ...

The regional R/Basel event took place at Roche on 21/07: Our presentation and impressions. R/Basel 2023 is an useR! regional event that took place at Roche main campus. The agenda with talks and presentations can be found at the following link. Base...

Learn how to control your R Shiny development with a collaborative and agile deployment to production. Continuous Integration (CI) and Continuous Deployment (CD) stand at the basis of a robust, maintainable and collaborative productive code. In this...

Best practices for a robust and maintainable shiny app, a hand on workshop on 21/06. Do you know how to build a basic Shiny web application, but would you like to bring your Shiny development to the next level? Learn from professional experts how to...

Find out how to customize a shiny app and make it more accessible to users with our workshop on 14/06. With shiny you can add an interactive web interface to your R work, also enabling users without a technical background to profit from your analysi...

Learn how to develop from scratch an interactive web interface in R shiny on June 07th. Shiny is the ever more popular approach to share R data analysis and reports that are required to make data-driven decisions. It is in fact natural to add an in...

Enhance your data science toolkit with our “Shiny” learning path: build your first shiny app, make it shine and robust, and bring it to production. R Shiny is empowered data science through interactive interface. By providing your code with a UI, i...

Learn how to work in an R development team with us on May 31st! With the 4th and last chapter of our “Introduction to R” learning path we terminate our journey towards building strong R programming foundations and skills. With the “Become an R Deve...

Learn how to develop an R package properly in R with us on May 24th! With the 3rd chapter of our “Introduction to R” learning path we continue our journey towards building strong R programming foundations and skills. With the “Build an R package” w...

Learn how to program your own algorithms in R with us on June 22nd! With the 3rd Chapter of our “Introduction to R” learning path we continue our journey towards building strong R programming foundations and skills. “Programming R” workshop will all...

Become professional at data analysis with tidyverse in R on May 10th! Learn how to extract, manipulate and explore your data with readable, streamlined and professional code using best-practices from the tidyverse R universe, such as those included ...

Enhance your data science toolkit with our “Introduction to R” learning path: from the basis of the syntax, to building and hosting an R package on GitHub. R is among the most popular programming, scripting, and markup languages. Written by statisti...

We are happy to announce our fifth series of workshops, to take place in 2023. Between May and June, we are proposing again two learning paths: R & Shiny, with few variations compared to last year. Like always, the workshops composing a path can...

Mirai RiskMetrics (MiRiM) is a Shiny app based on the RiskMetrics methodology enhanced to analyze the market risk of a portfolio. MiRiM is freely available on our Website Gallery and is designed for desktop view. In the first release, MiRiM was mai...