Speaking 'R' - The Language of Data Science [Video]

Speaking 'R' - The Language of Data Science [Video]

Dr. Samik Sen

Get a sense of the awesome power of R by learning how complex things are done with ease
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Video Details

ISBN 139781788296281
Course Length2 hours and 18 minutes

Video Description

In this video course, we start by focusing on R's 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 it’s 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 you’ll 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.

Style and Approach

This is an easy-to-follow video course which will help you get a firm hold on the fundamentals of R with practical hands on examples by diving into R programming and gradually building your skill level for Data Science.

What You Will Learn

  • Work with R, the language of data science 
  • Get and set up R 
  • See how things are done in R, using its particular set of objects 
  • Understand how working with complex data is different to standard numerical work 
  • Perform feature engineering with tennis data 
  • Create Data Visualization using R

Authors

Video Details

ISBN 139781788296281
Course Length2 hours and 18 minutes
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