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...is a collective term for characteristics that the two institutions share.
█ Speaking 'R' - The Language of Data Science
█
▄
█ by Dr. Samik Sen
█ Publisher: Packt Publishing
▓ Release Date: June 2017
▓ ISBN: 9781788296281
▒ Running time: 2:18:50
▒ Topic: R
░ Scale: 13x50mb
░ Downloads: (■) Included ( ) Without
░
░ Lecture Date: 07/2017
░ Lecture Link: https://goo.gl/u7ud9E
░
:
| Get a sense of the awesome power of R by learning how complex
| things are done with ease
|
| About This Video
|
| Learn a core set of operations so that you can do what you want
| with R
|
| Understand what is important in a problem by capturing new
| dimensions using Feature engineering
|
| Generate Complex Structures using Data Visualization
|
| In Detail
|
| In this video course, we start by focusing on RÆs similarities
| with programming languages such as basic/c/c# with loops and
| conditional tests like if, so that you can feel at home and be
| productive straight away.
|
| We begin by introducing R and setting things up so that you are
| ready to go using Rstudio, the associated IDE. Then we look at R
| as a programming language and see how the standard things are done
| in it, so you can see that itÆs not that different from other
| programming languages. Next, we introduce some R commands, which
| are very useful and not as common in traditional languages since
| manipulating data is more important in R.
|
| Moving on, we look at an example in the Titanic dataset, which is
| the kind of thing youÆll come across in R, a multidimensional
| collection of variables of different types. Using the tools that
| we cover we can form a picture, a story behind the data.
|
| We then look at cleaning up data, which is what 80% of data
| science is - as we rarely get a nice neat set of numbers, but
| mostly unstructured junk. This is just trial and error, gradually
| getting to something we can work with.
|
| Finally, we cover statistics, which is where R originated and what
| it was designed for.We begin doing some basic statistics with R to
| show how it works and end up using various special features for
| data visualization.
,