Purposes
The course aims at providing technical skills about coding/scripting aspects for data analysis and to manage persistent data storage of sources and results involved in analysis. On the one side, the R framework is illustrated. The goal is to deal first with essential notions about data structures and control structures of R, then to learn how to code with modern and state-of-the-art R packages.
The R Coding part of the course aims at teaching
R Programming.
The state-of-the-art and modern R packages are presented from a very
practical point of view, throughout R tutorials on each main topic. The
BI part of the course aims at teaching how to create
modern data analysis dashboard using Shiny and
flexdashboard.
Contents
- Tidyverse Basics
- Tidyverse Wrangling
- Tidyverse Visualization
- Tidyverse Functional Programming
- Tidymodels
- Shiny Basics
- Flexdashboard UI
- Shiny Reactivity
- Advanced Shiny Components
Specific business needs and adjustments may be discussed.
Duration
The course has a duration of 20 hours.
Beneficiaries
This course is intended for data scientist, data analyst, statisticians, IT specialists, developers, project managers and business leaders who want to develop the most in-demand R & BI programming skills.