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 statisticians for statisticians, it is an incredible tool for data exploration, data manipulation, visualization and analysis. If you would like to build better foundations for your R programming skills, this workshop series is what you were looking for.
Five workshops, 1st free online, then Four consecutive Wednesdays, from 2:30 PM to 6 PM (CEST), a 3.5-hours hands on experience.
Learn with industry experts with more than ten years experience using R professionally how to efficiently use R and the wide range of its possibilities.
Start your journey with the fundamentals of R language following our “R basics - objects, functions and operations” workshop. It can be viewed freely online on our YouTube Channel, apply for the access registering to the workshop.
Follow up (or start) with easy data analysis for everyone using
tidyverse; learn how to extract, manipulate and explore your data with readable, streamlined and professional code, on May 10th at the “Data analysis with tidyverse” workshop.
Continue by bringing your programming skills to the next level with the “Programming R” workshop, on May 17th.
Package your code, learn about building, testing and documenting an R package using the R development kit, control package dependencies with
renv package, attending “Build an R package” workshop, on May 24th.
Closing up the series (NEW!), learn about hosting an R package on GitHub, implement Continuous Integration (CI) with GitHub Actions and collaborate with GitFlow approach, during the “Becoming an R developer” workshop, on May 31th.
With this series we aim at giving you an overview of programming in R, providing you with practical examples of effective usage of the R language, describing best development practices and most common data analysis and technical tools.
All the workshops are structured with an experiential, agile, dynamic and incremental training approach, where an exercise break is planned at the end of each chapter.
From the basis of the R syntax, to professional development, for solid programming foundations in R.
Each workshop can be taken stand-alone but there are convenient deals for following the whole or a part of the learning path.
Register now directly on our website.
Otherwise contact us if you would like to have a custom workshop tailored to your needs.
Please note, the dates have been updated and shifted forward by a week, compared with what announced on 31.03 news post.