R Level 1 - Data Analytics with R

Use R for Data Analytics and Data Mining
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  • Lectures 86
  • Contents Video: 7.5 hours
    Other: 1.5 hours
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
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About This Course

Published 7/2014 English

Course 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.

According to the teaching principles of R Tutorials every section is enforced with exercises for a better learning experience. Furthermore you can also check out the r-tutorials R exercise database over at our webpage. In the database you will find more exercises on the topics of this course.

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

What are the requirements?

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

What am I going to get from this course?

  • 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

What is the target audience?

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

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction - the very Basics of R
R Level 1 Intro
Preview
02:57
Download R and RStudio
Preview
04:22
RStudio Orientation
Preview
18:26
The Structure of the R Ecosystem
Preview
14:33
R Help Features
Preview
17:49
R Basics Script
Preview
Article
Using the R Functions
Preview
11:01
R Exercises
Preview
02:39
Three Common Mistakes of R Beginners
Preview
11:03
Your first Lines of R
Preview
14:38
Using some basic Functions
Preview
12:59
Exercise and Solutions - Basic Coding
Preview
06:16
R Datasets and Dataframes
Preview
09:26
Basic Graphs in R 1
Preview
10:52
Basic Graphs in R 2
Preview
15:41
Exercise and Solutions - Basic Graphs
Preview
03:10
Thoughts on Learning R
Preview
12:38
Section 2: Theoretical background
05:23

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

Operators script
Preview
1 page
10:36

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)

Object types script
Preview
2 pages
05:44

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

4 pages

Data Types script

06:00

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

Normal distribution

Poison distribution

Uniform distribution

01:10

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

04:19

Presentation of the solution

Random number generation script
4 pages
06:48

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.

Data export/import script
2 pages
Section 3: Creating objects
06:36

In this video you will learn:

basics about matrices

rows - columns

creating diagonal matrices

extracting a vector out of a matrix

transposing

04:46

In this video you will learn:

getting the inverse of a matrix

matrix multiplication

crossproducts

solving equation systems

summary

00:37

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

01:18

Presentation of the solution

Matrices script
5 pages
07:10

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

01:40

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

Lists script
3 pages
04:58

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

05:12

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

02:28

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

03:44

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

Data frames script
6 pages
Factors script
1 page
Section 4: Functions in R
03:48

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

You will learn about the syntax.

02:35

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

06:47

In this video you will learn about the ifelse statement.

You will also see a summary about the functions section.

07:12

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

Functions script
8 pages
Section 5: Loops
06:27

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

06:01

In this video you will learn about the For loop

04:29

In this video you will learn about the While loop

06:11

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.

06:13

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.

03:36

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

Loop script
12 pages
Section 6: Apply family
05:19

In this video you will learn:

general introduction to the apply family

apply function

06:45

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

tapply function

by function

04:53

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

eapply

lapply

sapply

06:22

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

vapply

replicate

mapply

08:22

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

03:35

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

05:35

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

Apply family script
11 pages
Section 7: Graphs in R
02:28

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

04:26

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

07:18

In this video you learn how you can create boxplots:

adding means to your boxplot

adding different colours

boxplot terminology

01:18

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

01:43

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

02:39

Here you can find the solution to the boxplot exercise.

08:24

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

07:07

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

02:43

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

05:46

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

You will also learn about legends.

03:45

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

Graphs script
10 pages
Section 8: Advanced topic: working with strings
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
Article
Section 9: Using the R Commander GUI
R Commander Intro
05:07
Installation Hints
Article
Getting Data into RCmdr
12:52
Modeling with RCmdr
08:01

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Instructor Biography

R-Tutorials Training, 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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