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R Level 1 - Data Analytics with R
Rating: 4.4 out of 5(3,766 ratings)
18,250 students

R Level 1 - Data Analytics with R

Use R for Data Analytics and Data Mining
Created byR-Tutorials Training
Last updated 4/2019
English

What you'll learn

  • this course will show you how the most common types of graphs can be produced with R base
  • you will get a good understanding of functions and loops in R which are very useful programming skills to have
  • you will get the necessary theoretical background for R
  • you will learn how to create and handle different types of objects
  • you will get fluent in the R programming language to master your specific quantitative tasks

Course content

9 sections • 87 lectures • 7h 31m total length

  • R Level 1 Intro2:57
  • Download R and RStudio4:22
  • RStudio Orientation18:26
  • The Structure of the R Ecosystem14:33
  • R Help Features17:49
  • R Basics Script3:57
  • Using the R Functions11:01
  • R Exercises2:39
  • Three Common Mistakes of R Beginners11:03
  • Your first Lines of R14:38
  • Using some basic Functions12:59
  • Exercise and Solutions - Basic Coding6:16
  • R Datasets and Dataframes9:26
  • Basic Graphs in R 110:52
  • Basic Graphs in R 215:41
  • Exercise and Solutions - Basic Graphs3:10
  • Thoughts on Learning R12:38

Requirements

  • interest in statistical programming
  • R and RStudio ready on your computer
  • basic understanding of statistics and data structure

Description

Are you new to R? 

Do you want to learn more about statistical programming? 

Are you in a quantitative field? 

You just started learning R but you struggle with all the free but unorganized material available elsewhere? 

Do you want to hack the learning curve and stay ahead of your competition? 

If your answer is YES to some of those points - read on! 

This Tutorial is the first step - your Level 1 - to R mastery. 

All the important aspects of statistical programming ranging from handling different data types to loops and functions, even graphs are covered. 

While planing this course I used the Pareto 80/20 principle. I filtered for the most useful items in the R language which will give you a quick and efficient learning experience. 

Learning R will help you conduct your projects. On the long run it is an invaluable skill which will enhance your career. 

Your journey will start with the theoretical background of object and data types. You will then learn how to handle the most common types of objects in R. Much emphasis is put on loops in R since this is a crucial part of statistical programming. It is also shown how the apply family of functions can be used for looping.

In the graphics section you will learn how to create and tailor your graphs. As an example we will create boxplots, histograms and piecharts. Since the graphs interface is quite the same for all types of graphs, this will give you a solid foundation.

With the R Commander you will also learn about an alternative to RStudio. Especially for classic hypothesis tests the R Commander GUI can save you some time.

According to the teaching principles of R Tutorials every section is enforced with exercises for a better learning experience.

You can download the code pdf of every section to try the presented code on your own.

This tutorial is your first step to benefit from this open source software. 

What R you waiting for? 

Martin 

Who this course is for:

  • scientists
  • data analysts
  • entrepreneurs
  • web developers
  • anybody interested in statistical programming

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