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Please confirm that you want to add **R Level 1 - Data Analytics with R** to your Wishlist.

Use R for Data Analytics and Data Mining

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- 7.5 hours on-demand video
- 4 Articles
- 15 Supplemental Resources
- Full lifetime access
- Access on mobile and TV

- Certificate of Completion

What Will I 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

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 hypthesis tests the R Coomander GUI can save you some time.

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 is the target audience?

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

Students Who Viewed This Course Also Viewed

Curriculum For This Course

Expand All 87 Lectures
Collapse All 87 Lectures
08:42:29

+
–

Introduction - the very Basics of R
17 Lectures
02:53:31

+
–

Theoretical background
12 Lectures
40:00

In this lecture you will learn about basic and logical operators in R.

Operators in R

05:23

Preview
1 page

In this video you will learn about the different types of objects in R:

Vectors (1 dimension, 1 data type)

Matrices (2 dimensions, 1 data type)

Arrays (x dimensions, 1 data type)

Data frames (2 dimensions, x data types)

Lists (1 dimension, x data types)

Preview
10:36

Preview
2 pages

In this video you will learn how to use mode/typof to identify data types in a vector.

Data types

05:44

Data Types script

Data types script

4 pages

In this lecture you will learn how to create random numbers in three different distributions:

Normal distribution

Poison distribution

Uniform distribution

Random number generation

06:00

Take a few minutes to go through this exercise and see if you understood the lecture.

Exercise random number generation

01:10

Presentation of the solution

Solution random number generation

04:19

Random number generation script

4 pages

In this video you will learn how to import and export csv files from/to R.

CSV (comma seperated values) is the best way to interact with Excel.

Export/Import of Excel files

06:48

Data export/import script

2 pages

+
–

Creating objects
14 Lectures
38:29

In this video you will learn:

basics about matrices

rows - columns

creating diagonal matrices

extracting a vector out of a matrix

transposing

Matrices part 1

06:36

In this video you will learn:

getting the inverse of a matrix

matrix multiplication

crossproducts

solving equation systems

summary

Matrices part 2

04:46

You can find the solution skript at the bottom of the matrices skript

Exercise matrices

00:37

Presentation of the solution

Solution matrices

01:18

Matrices script

5 pages

In this video you will learn about:

definition of a list

how to create a list

naming lists

elements of a list

length of lists

extracting elements out of a list

combining lists

mode of a list

Lists in R

07:10

Take a few minutes to go through the exercises. At the end of the video you will see the solution.

Exercise and solution Lists in R

01:40

Lists script

3 pages

In this video you will learn:

basics about data frames

structure of data frames

creating data frames

adding vectors to data frames

attach function

handling and extracting subsets of data frames

Data Frames part 1

04:58

In this video you will learn:

extracting columns, rows and specific values out of a data frame

filtering according to specific criteria and logical operations

summary

Data Frames part 2

05:12

In this video you will learn how you can use factors to handle character vectors.

Factors

02:28

Take a few minutes to solve this exercises. At the end of this video I will present the solution.

Exercise and solution Data Frames

03:44

Data frames script

6 pages

Factors script

1 page

+
–

Functions in R
6 Lectures
22:46

In this video you will get a general idea about functions in R.

You will learn about the syntax.

Preview
03:48

In this video you will learn how you can use ... to create open ended functions.

Open ended functions

02:35

In this video you will learn about the ifelse statement.

You will also see a summary about the functions section.

Ifelse statement and summary

06:47

Try to solve the exercises in this video. At the end of the video you will find the solution.

Exercise and solution functions

07:12

Functions script

8 pages

Functions Script txt

02:24

+
–

Loops
7 Lectures
32:57

In this video you will get a general introduction about loops in R. I am also discussing the If statement.

Introduction to loops and If statement

06:27

In this video you will learn about the For loop

For loop

06:01

In this video you will learn about the While loop

While loop

04:29

In this video you will learn about the repeat loop.

You will also see a brief summary about what we learned on loops in R.

Repeat loop and loop summary

06:11

Please take the time to solve the exercises I prepared for you in this video. At the end you will also find the solutions to it.

Exercise and solution loop part 1

06:13

This exercise is a bit harder. Try to calculate the prime numbers by using loops.

Exercise and solution loop part 2 - hard

03:36

Loop script

12 pages

+
–

Apply family
8 Lectures
40:51

In this video you will learn:

general introduction to the apply family

apply function

Introduction to the apply family

05:19

In this lecture about the apply family of funxtions you will learn:

tapply function

by function

Tapply and the by command

06:45

In this video you will learn about the following functions of the apply family:

eapply

lapply

sapply

Eapply, sapply, lapply

04:53

In this video you will learn about the following functions of the apply family:

vapply

replicate

mapply

Vapply, replicate, mapply

06:22

In this video you will learn more about rapply and you will also get a summary of the apply functions.

Rapply and summary

08:22

Take the time to solve this exercises I prepared for you. In the next video I will present the solution.

Apply family exercises

03:35

In this video I am presenting the solutions to the apply exercises

Apply family solutions

05:35

Apply family script

11 pages

+
–

Graphs in R
12 Lectures
47:37

In this section you will learn more about graphs in R.

Graphs in R

02:28

This is a brief introduction to the graphical parameters in R.

Graphical parameters

04:26

In this video you learn how you can create boxplots:

adding means to your boxplot

adding different colours

boxplot terminology

Boxplots

07:18

In this video you will learn about the different ways in which you can export and store your graphs.

Exporting graphs

01:18

Take your time to solve this boxplot exercise and test your knowledge. In the next video you will find the solution.

Exercise boxplots

01:43

Here you can find the solution to the boxplot exercise.

Solution boxplots

02:39

In this video you will learn how to create pie charts in R:

labelling pie charts

pie charts with data frames

3D pie charts (using plotrix)

Please note that you should download the library "plotrix" for this lesson

Piecharts

08:24

In this video you will learn how to create histograms in R:

modifying the bin count

labelling

modifying the axes

frequency vs density

adding curves to histograms

Histograms

07:07

Try to resemble the histogram I present to you in this video. At the end you will find the solution.

Exercise and solution histograms

02:43

In this video you will learn how you can put several datasets into one scatterplot.

You will also learn about legends.

Advanced scatterplots and legends

05:46

Take a few minutes to solve this scatterplot exercise. At the end of the video you will find the solution.

Preview
03:45

Graphs script

10 pages

+
–

Advanced topic: working with strings
7 Lectures
30:31

Working with Strings - Introduction

05:45

Working with Strings - gsub

07:42

Working with Strings - gsub advanced

05:23

Regular Expressions Overview

2 pages

Working with Strings - Library Stringr

05:10

Exercise and Solution: Strings in R

03:46

Code Section: Strings

02:45

+
–

Using the R Commander GUI
4 Lectures
26:03

R Commander Intro

05:07

Installation Hints

00:03

Getting Data into RCmdr

12:52

Modeling with RCmdr

08:01

About the Instructor

Data Science Education

*R-Tutorials*** is your provider of choice when it comes to analytics training courses! Try it out – our 30,000+ students love it.**

We focus on Data Science tutorials. Offering several R courses for every skill level, we are Udemy's number one R training provider. On top of that courses on Tableau, Excel and a Data Science career guide are available.

All of our courses contain exercises to give you the opportunity to try out the material on your own. You will also get downloadable script pdfs to recap the lessons.

The courses are taught by our main instructor Martin – trained biostatistician and enthusiastic data scientist / R user.

Should you have any questions, you are invited to check out our website, you can open a discussion in the course or you can simply drop us a pm.

We are there to help you boost your career with analytics training – Just learn and enjoy.

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