Online or onsite, instructor-led live Tidyverse training courses demonstrate through interactive hands-on practice how to manipulate and visualize data using the tools included in the Tidyverse.
Tidyverse training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Tidyverse training can be carried out locally on customer premises in Brighton or in NobleProg corporate training centers in Brighton.
NobleProg -- Your Local Training Provider
Brighton
3rd Floor, Queensberry House , Brighton, united kingdom, BN1 3XF
This centre occupies a prominent location on Queens Road which links Brighton station to the Churchill Square shopping cen...
This centre occupies a prominent location on Queens Road which links Brighton station to the Churchill Square shopping centre and the seafront. Queensberry House, which offers some sea views, is in the heart of the business district in this city. Brighton is a highly sophisticated and modern resort with a thriving economy and tourist industry. Millions of visitors flock here every year, both for leisure and to attend conferences and exhibitions at the Brighton Centre, one of the largest multi-purpose conference and exhibition centres in the country. Because it is home to so many businesses involved in media, particularly digital or 'new media', Brighton is sometimes referred to as 'Silicon Beach'. The city's priority sectors, which include financial services, creative industries and environmental technologies as well as digital media, are all growing steadily.
The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.
In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.
By the end of this training, participants will be able to:
Perform data analysis and create appealing visualizations
Draw useful conclusions from various datasets of sample data
Filter, sort and summarize data to answer exploratory questions
Turn processed data into informative line plots, bar plots, histograms
Import and filter data from diverse data sources, including Excel, CSV, and SPSS files
Audience
Beginners to the R language
Beginners to data analysis and data visualization
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
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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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