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 Zhongguancun can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Beijing Digital Building
2 south street, Beijing, China, 100000
Zhongguancun South Street, Haidian District, Beijing, close to the North Third Ring Road, facing the Friendship Hotel. The lo...
Zhongguancun South Street, Haidian District, Beijing, close to the North Third Ring Road, facing the Friendship Hotel. The location is in the Zhongguancun office building. It is a popular landmark office building with convenient transportation. There are many bus lines in front of the door to the major cities. The building is divided into two bases. Block A is the tallest commercial building in the west of the central axis. It adopts a pillarless large-open design and is suitable for large enterprises. The office space of Block B is flexible and suitable for small and medium-sized office enterprises. There are various restaurants, hotels, shopping malls, supermarkets, entertainment venues and other supporting facilities.
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 instructorled, 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 handson 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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