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 Glasgow or in NobleProg corporate training centers in Glasgow.
NobleProg -- Your Local Training Provider
Glasgow
69 Buchanan St, Glasgow, united kingdom, G1 3HL
The Buchanan Street Centre is located in the heart of Glasgow, in Scotland's most famous shopping and retail district. A major feature of this stunning large Victorian building is the impressive sandstone entrance archway giving access to four floors. Glasgow's fantastic array of shops, hotels, restaurants and bars are on the doorstep and Buchanan Street itself is home to a number of exclusive shops and recently won the Academy of Urbanism 'Great Street Award'. One of the fastest growing cities in the UK, Glasgow is Scotland's largest urban economy and is dominated by financial and business services, public administration, health and retail. It is one of Europe's 16 largest financial centres with a growing number of 'blue-chip' financial sector companies establishing significant operations or headquarters in the city. It also forms the western part of Scotland's 'Silicon Glen' hi-tech sector.
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
Provisional Upcoming Courses (Contact Us For More Information)
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