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Visualisation & data exploration
R - 1 day
This course will teach you how visually explore data in R, and how to create great-looking graphics using the powerful ggplot2 package.
Topics covered include outlier detection, visualisation of trends, and multivariate data. It also covers dimension-reduction of complex data using principal component analysis (PCA).
Course goals: To be able to use the R package ggplot2 to visualise and explore data.
Prerequisites: Introduction to R or similar.
Kursinformation
Visualisation & data exploration
Course length: 1 day
Language: English
Hours: 09:00-16:30 (CET)
Price: 8 500 SEK excluding VAT
Kurstillfällen
4 mar 2025
Online
6 maj 2025
Online
Förhandsbokning
(obestämt datum)
Program
Visualisation & data exploration
Visualisation
Dimension reduction with PCA
Information & Frågor
Questions?
Send us an email or Call us
Online course
All our online courses are instructor-led and on the Zoom video platform. Course literature and exercises are either distributed in conjunction with the course or delivered through mail well in advance before the course. This information and and other important instructions are found in your booking confirmation after a reservation is made.
Onsite courses
The address and any additional information is announced in an invitation email send out the week before the course. Course literature and exercise material are distributed onsite. Make sure you have access to a computer with the current program installed for the course.
Booking terms
Statistikakademin has the right to cancel any course in the event of an insufficient number of participants. In case of that happening, you will of course be offered a new course date or be fully compensated. You have the right to rescedule and change course dates up to 15 days before the start of the course. If something comes up last minute and you are not able to attend, you can of course send a colleague instead.
Kursledare
Måns Thulin
Appreciated educator with extensive statistical expertise
Måns Thulin works as a consultant and lecturer in statistics, machine learning, and artificial intelligence. His clients include large corporations, government agencies, startups, and researchers. By using advanced statistical analysis, he has solved problems in a wide range of areas, from antibiotic resistance to nuclear fuel, from milking robots to HR issues, from herniated discs to music videos. He has twelve years of teaching experience at institutions such as Uppsala University and the University of Edinburgh. Måns is also the author of the popular textbook Modern Statistics with R. His educational goal is to help all course participants understand statistical methods – statistics should feel logical, not like black magic.
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Boka flera datum själv, köp kurser och ha innestående eller gå tillsammans med en kollega.
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