R Language Course: RStudio, Reporting

Classes in: Online, virtual classroom (remote), Montreal, Gatineau, Quebec, Sherbrooke, Toronto, Saguenay (Chicoutimi);. Customizable training in private session.

R with RStudio forms a great duo for reporting. Thanks to a special source code, a R Markdown file, we combine programming blocks (the R language) with a text (the Markdown language). It is possible to create a report without even seeing the code in the text. As in a show, the entire technical team, remains behind the scenes. Only the results - images, tables, charts and maps - occupy the scene with the text.

links to demos:

Like Word or a PowerPoint presentation, the document includes titles and divisions, bold and italic passages, web links, and more. Unlike Word or a PowerPoint presentation, tables and figures are automated because they are part of the calculations and modeling hidden in the document.

In the process, the data is imported: spreadsheets, CSV, SQL, web, Spark, etc. Just run the analyzes: clean, filter, sort, group, aggregate, select, add, etc. The R language is designed for descriptive statistics analysis and * machine learning * algorithms. The results can also come from other languages ​​including Python or SQL. The big work can be done downstream and the finishing is done in RStudio. Once everything is modeled, transformed or integrated, all that remains is to generate tables and figures to finalize the report. With a stand-alone R Markdown file, automation makes it easy to update or adapt for a new month, for example.

Besoins technologiques pour la formation en ligne: avoir un ordinateur connecté à internet et un microphone.

Course details


Introduction to the R language

What is R?
Discover the analytical aspect
The business intelligence side of R / RStudio
The areas of use of R
Discover RStudio


Getting started with the RStudio environment

Install RStudio
Configure RStudio
Use the console
Install a package
Use of aids
Discover the Markdown


The basics of the R language

The variables
The functions
Evaluate flow conditions and controls
Create custom features
Calculate the execution time
Data structure: matrix
Data structure: ts
Data structure: Date and time
Data structure: factor
Work environments


Manipulate data structures

The vectors
The lists


Draw a parallel between R and a spreadsheet

Adapt in R / RStudio spreadsheet operations.
Adapt the spreadsheet functions to R / RStudio.
Import and export data (spreadsheet versus R / RStudio)
Exploit the best of both software.


Handling data with R

Importing data
Exporting data
Selection and grouping of data


Case Study: Consolidate the Basics of R Language and RStudio Software

Using tidyverse for more efficiency
Tidyverse modules: dplyr, ggplot2, tibble, readr, tidyr, purrr
Data preparation
Import (and export) datasets.
Understanding the data (Explore and visualize)
Process missing values
Process outliers.
Model: select, filter, sort, modify, add, delete.
Manipulate categorical data.
Manipulate time series.
Produce PDF, HTML, etc. reports


View data with R

Realization of graphs with R software
Customize graphs with R software
Draw maps with R software

Autre(s) cours dans cette catégorie

→ R Language Course: RStudio, Reporting

→ Python Training for Data Science | scientific python

→ Python Training – Data Science (Numpy Pandas Matplotlib)

Commentaires des clients



  • A course material for each participant
  • Support of the trainer after the training
  • We offer you in public session:
    • Tea, coffee
    • Parking (only in some cities)
    • Wireless internet connection

Préalables :

Knowledge of the Windows environment

Objectifs :

With one case, the training shows how to edit a report with RStudio. The training covers another format: presentation, website, interactive dashboard and various renderings (HTML, PDF, Word and more). In addition, the training shows the useful foundations of the R language. The course adheres to simple quantitative methods for processing data in a spreadsheet format and does not address the science of statistics. Former:

Nos formations se font présentement en classe virtuelle(à distance), nous proposerons des formations en classe physique seulement si la situation sanitaire le permettra

Montréal :

13/09/2021 au 15/09/2021

Québec :

Gatineau / Ottawa :

Classe virtuelle (en ligne) :

13/09/2021 au 15/09/2021

1019 $

per participant

Duration : 3 day(s), is 21 hours.
Hours: 9 am-5pm, 2 coffee breaks, dinner offered at 12 noon.

See the lesson plan in PDF

Locations: Montreal, Gatineau / Ottawa, Quebec City.

See customer reviews

Regular price: 1199 $

*The preferential rate applies if you register at least two participants in the same session.


Interested in this training?

Also available in private session.
offer is valid from 01/01/2020.

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