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 trainings in Oxford can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Oxford
7200 The Quorum, Oxford, united kingdom, OX4 2JZ
The top-quality Oxford Business Park Centre is located in a modern building in Oxford's premier business district, just insid...
The top-quality Oxford Business Park Centre is located in a modern building in Oxford's premier business district, just inside the ring road and a 40 minute drive from London. The park offers a thriving environment for businesses of all sizes, working in a range of sectors including engineering, electronics, telecommunications and government agencies. Over 45 local and international companies and about 4,000 people are based here and a number have chosen this as the location for their headquarters. All enjoy the park's excellent communications and amenities as well as its award-winning landscaping, with mature trees and shrubs, water features and cycle tracks. Oxford is known as the city of dreaming spires and world-famous for its ancient university, the oldest in the English speaking world. Today it is a bustling, cosmopolitan place with a growing and thriving business community, including many hi-tech companies.
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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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