Whether delivered online or in person, instructor-led Tidyverse training courses use interactive, hands-on practice to show participants how to manipulate and visualize data using the tools within the Tidyverse.
Tidyverse training is offered as either "online live training" or "onsite live training." Online live training (also known as "remote live training") is conducted via an interactive remote desktop. Onsite live training can take place at your local facilities in Nantes or at NobleProg's corporate training centers in Nantes.
NobleProg -- Your Local Training Provider
Nantes, Zenith
NobleProg Nantes, 4 rue Edith Piaf, Saint-Herblain, france, 44821
In the Parc d'Ar Mor zone, near the Zénith.
Car : from the ring road, Porte de Chézine Exit> Boulevard du Zenith > Esplanade Georges Brassens (restaurants) > Rue Edith Piaf on the right. From the N444 road (Nantes > Lorient), Exit #1 > boulevard Marcel Paul > Rue Edith Piaf at the right.
Parking Zénith P1 (free). Once parked, you can recognize the building: it's one of the tree bulding with zinc frontage.
Bicycle: free indoor parking
Public transport :
Tramway R1, Schoelcher station + 10 mn by foot through commercial center Atlantis
Tramway R1, François Mitterrand stop + bus 50, stop at Saulzaie station or bus 71, stop at the Zénith station
Tramway R3, Marcel Paul station + bus 50, Saulzaie station
Chronobus C6, Hermeland station+ bus 71, Zénith station
Bus : lignes 50 (Saulzaie station) or 71 (Zénith station)
Upon completion of this training, participants will be equipped to:
In this instructor-led, live session, attendees will gain the skills to manipulate and visualize data using the comprehensive suite of tools within the Tidyverse.
The Tidyverse comprises a collection of powerful R packages designed for data cleaning, processing, modeling, and visualization. Key components include ggplot2, dplyr, tidyr, readr, purrr, and tibble.
Individuals new to the R programming language
Those beginning their journey in data analysis and data visualization
A blend of lectures, discussions, exercises, and extensive hands-on practice
Execute data analysis and generate visually compelling plots
Derive meaningful insights from diverse sample datasets
Filter, sort, and summarize data to address exploratory questions
Convert processed data into informative line plots, bar charts, and histograms
Import and filter data from various sources, including Excel, CSV, and SPSS files
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Testimonials (1)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
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