Data Analysis in R

Unfortunately VU Amsterdam Summer School's trainings are no longer available on Springest

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R Programmeren

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Het softwarepakket R, ontworpen door Ross Ihaka en Robert Gentleman, is speciaal ontwikkeld voor statistiek en data-analyse. Het is een geb…

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R Spatial

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Het softwarepakket R, ontworpen door Ross Ihaka en Robert Gentleman, is speciaal ontwikkeld voor statistiek en data-analyse. Het is een geb…

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Learning R (2013)

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Join author Barton Poulson as he introduces the R statistical processing language, including how to install R on your computer, read data f…

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Learning the R Tidyverse (2017)

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R is an incredibly powerful and widely used programming language for statistical analysis and data science. The "tidyverse" collects some o…

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Up and Running with R

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Introduces the R statistical processing language, including how to install R, read data from SPSS and spreadsheets, analyze data, and creat…

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Learning the R Tidyverse

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R is an incredibly powerful and widely used programming language for statistical analysis and data science. The "tidyverse" collects some o…

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Data Science and Machine Learning with R

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Welcome to the Learn Data Science and Machine Learning with R from A-Z Course! In this practical, hands-on course you’ll learn how to pro…

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R for Excel Users

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Data scientists who use Excel realize that R is emerging as the new standard for statistical wrangling (especially for larger data sets). T…

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R for Excel Users (2020)

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Data scientists who use Excel realize that R is emerging as the new standard for statistical wrangling (especially for larger data sets). T…

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Complete Guide to R: Wrangling, Visualizing, and Modeling Data

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Trying to locate meaning and direction in big data is difficult. R can help you find your way. R is a statistical programming language to a…

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Anonymous
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warning Data Analysis in R is not available on Springest

"It was a very interesting course to get more familiar with R! Every lessons the statistics theory got explained and afterwards how to do the analysis in R. Recommendable to have your statistics knowledge available before the course starts since the emphasis is on the programming part and the course is quite intense. Course starts with the basics and at the end of week 2 you learn more about classiification and how to do clustering. " - 2017-08-07 11:53

"It was a very interesting course to get more familiar with R! Every lessons the statistics theory got explained and afterwards how to do the… read full review - 2017-08-07 11:53