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O’Reilly – Expert Data Wrangling With R

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O’Reilly – Expert Data Wrangling With R

English | Size: 2.94 GB (3,155,601,232 Bytes)
Category: Tutorial


Analysts often spend 50-80% of their time preparing and transforming data sets before they begin more formal analysis work. This video tutorial shows you how to streamline your code-and your thinking-by introducing a set of principles and R packages that make this work much faster and easier.

Garrett Grolemund, Data Scientist and Master Instructor at RStudio, demonstrates how R and its packages help you tackle three main issues:
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Oreilly – Expert Data Wrangling with R (2015) [22 video FLV files]

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Oreilly – Expert Data Wrangling with R (2015) [22 video FLV files]
English | Size: 2.94 GB (3,155,601,232 bytes )
Category: CBTs


Analysts often spend 50-80% of their time preparing and transforming data sets before they begin more formal analysis work. This video tutorial shows you how to streamline your code-and your thinking-by introducing a set of principles and R packages that make this work much faster and easier.

Expert Data Wrangling with R
Streamline Your Work with tidyr, dplyr, and ggvis
By Garrett Grolemund
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Introduction to Data Science with R

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Introduction to Data Science with R
English | Size: 3.17 GB (3,402,497,149 Bytes)
Category: Tutorial


Learn practical skills for visualizing, transforming, and modeling data in R. This comprehensive video course shows you how to explore and understand data, as well as how to build linear and non-linear models in the R language and environment. It’s ideal whether you’re a non-programmer with no data science experience, or a data scientist switching to R from other software such as SAS or Excel.
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Infiniteskills – Learning To Program With R

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Infiniteskills – Learning To Program With R
English | Size: 617.20 MB
Category: CBTs


In this Learning R training course, expert author Stuart Greenlee will teach you how to use R, a programming language used for statistical computing and graphics. This course is designed for beginners that have no previous R programming experience. You will require a fundamental understanding of statistics to get the most out of this course. [Read more…]