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This fast-paced, data visualization with R and ggplot2 course is a 1-day, practical hands-on course aimed at experienced developers and system architects. As you progress, you’ll find helpful tips and tricks, as well as useful self-assessment material, exercises, and activities to help you benchmark your progress and reinforce what you’ve learned. The activities have been devised to simulate real-world conditions in order to equip you with the necessary skills to accelerate software deployment while still maintaining security, portability, and affordability.
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*Events with the Partial Day Event clock icon run longer than normal but provide the convenience of half-day sessions.
Jul 6 9:00 AM - 4:30 PM EDT Online (AnyWare) Reserve Your Seat
Aug 4 9:00 AM - 4:30 PM EDT Ottawa / Online (AnyWare) Reserve Your Seat
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Dec 7 9:00 AM - 4:30 PM EST New York / Online (AnyWare) Reserve Your Seat
Jan 4 9:00 AM - 4:30 PM EST Herndon, VA / Online (AnyWare) Reserve Your Seat
Feb 1 9:00 AM - 4:30 PM EST Ottawa / Online (AnyWare) Reserve Your Seat
Mar 8 9:00 AM - 4:30 PM EST New York / Online (AnyWare) Reserve Your Seat
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When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time — will run. Guaranteed.Partial Day Event
Learning Tree offers a flexible schedule program. If you cannot attend full day sessions, this option consists of four-hour sessions per day instead of the full-day session.This course is meant for professionals who work with data and use R as part of their workflow. It also targets students who want to extend and enhance their data analysis skills by adding complex, informative, and professional visualizations. This course will not cover the basics of R commands and objects, so students are expected to have some familiarity with the R language
ggPlot2 is a data visualization package for the statistical programming language and is a versatile system for making graphs.
R is a programming language used by data scientist to do Data Analysis, linear and nonlinear modelling, clustering, etc., being one of the most popular languages to perform these functions.