Tidyverse Training in Ho Chi Minh City

Tidyverse Training in Ho Chi Minh City

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. Ho Chi Minh City onsite live Tidyverse trainings can be carried out locally on customer premises or in NobleProg corporate training centers.

NobleProg -- Your Local Training Provider

Learn Tidyverse in our training center in Ho Chi Minh City. Right in heart of Ho Chi Minh city, strategically located in the coveted District 1 on Le Loi Street. Read more
Ho Chi Minh City, Saigon Tower
Learn Tidyverse in our training center in Ho Chi Minh City. The office space in Ho Chi Minh City Saigon Tower is in a prestigious building in the heart of the central business district. The office space is situated on the 16th floor, there are some views over the surrounding area and the Saigon River. The landmark building which has an impressive polished granite facade and distinctive architectural style is home to many international corporations. These include law firms, management consultants, international airlines, banks and oil and gas companies.... Read more

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Tidyverse Course Events - Ho Chi Minh City

Tidyverse Course Outlines in Ho Chi Minh City

Course Name
Duration
Overview
Course Name
Duration
Overview
7 hours
Overview
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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