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This fast-paced, data visualisation 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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UTBILDNING PÅ DIN ARBETSPLATS
Anpassa kurs och innehåll efter teamets behov
Kontakta ossLearning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .
*Events with the Partial Day Event clock icon run longer than normal but provide the convenience of half-day sessions.
7 sep 9:00 - 4:30 BST Online (AnyWare) Boka Din Kursplats
16 nov 9:00 - 4:30 GMT London / Online (AnyWare) Boka Din Kursplats
8 feb 9:00 - 4:30 GMT London / Online (AnyWare) Boka Din Kursplats
26 apr 9:00 - 4:30 BST London / Online (AnyWare) Boka Din Kursplats
4 aug 9:00 - 4:30 EDT Online (AnyWare) Boka Din Kursplats
31 aug 9:00 - 4:30 EDT Online (AnyWare) Boka Din Kursplats
5 okt 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare) Boka Din Kursplats
2 nov 9:00 - 4:30 EST Ottawa / Online (AnyWare) Boka Din Kursplats
7 dec 9:00 - 4:30 EST New York / Online (AnyWare) Boka Din Kursplats
4 jan 9:00 - 4:30 EST Herndon, VA / Online (AnyWare) Boka Din Kursplats
1 feb 9:00 - 4:30 EST Ottawa / Online (AnyWare) Boka Din Kursplats
8 mar 9:00 - 4:30 EST New York / Online (AnyWare) Boka Din Kursplats
Kurs med startgaranti
När du ser symbolen för “Guaranteed to Run” vid ett kurstillfälle vet du att kursen blir av. Garanterat.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 visualisations. 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 visualisation 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.