Statistics and R for beginners
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# Statistics and R for beginners

Learn how to program statistical tests and write small programs in R. We cover basic math and statistics.
0.0 (0 ratings)
75 students enrolled
Created by Dr Craig S Wright
Published 7/2012
English
Price: Free
Includes:
• 34 mins on-demand video
• 5 Supplemental Resources
• Access on mobile and TV
Description

On completion of the subject students should be able to:

1. Explain the basic concepts underlying estimation theory, hypothesis testing and regression;
2.Explain the underlying assumptions and the applicability of each of the approaches studied;
3.Determine appropriate methods for practical inference problems and apply such methods to data.
4.Use R to program statistical tests

Why do we need to use the R statistical package?
We can use R for complicated statistical analyses or multiple calculations on a large dataset. It has powerful plotting, graphing, and data visualisation functions that are of professional quality. There are many freely available packages and libraries so that the user doesn’t have to waste time recreating the same functions. It is a fully programmable language, and is capable of connecting to relational database systems. In short, it is a versatile tool for data analysis and data mining, and it is very suitable for data assurance and auditing purpose. This tutorial and complied manual will give you the ‘fishing-rod’, so you can learn R at your own pace without going ‘Arrg’ and pulling your hair out!

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Curriculum For This Course
10 Lectures
02:21:48
+
Week 1
10 Lectures 33:48

On completion of the subject students should be able to:

1. Explain the basic concepts underlying estimation theory, hypothesis testing and regression;
2.Explain the underlying assumptions and the applicability of each of the approaches studied;
3.Determine appropriate methods for practical inference problems and apply such methods to data.
4.Use R to program statistical tests
Lecture 1
23 pages

On completion of the subject students should be able to:

1. Explain the basic concepts underlying estimation theory, hypothesis testing and regression;
2.Explain the underlying assumptions and the applicability of each of the approaches studied;
3.Determine appropriate methods for practical inference problems and apply such methods to data.
4.Use R to program statistical tests

Why do we need to use the R statistical package?
We can use R for complicated statistical analyses or multiple calculations on a large dataset. It has powerful plotting, graphing, and data visualisation functions that are of professional quality. There are many freely available packages and libraries so that the user doesn’t have to waste time recreating the same functions. It is a fully programmable language, and is capable of connecting to relational database systems. In short, it is a versatile tool for data analysis and data mining, and it is very suitable for data assurance and auditing purpose. This tutorial and complied manual will give you the ‘fishing-rod’, so you can learn R at your own pace without going ‘Arrg’ and pulling your hair out!

Lecture 2
20 pages

On completion of the subject students should be able to:

1. Explain the basic concepts underlying estimation theory, hypothesis testing and regression;
2.Explain the underlying assumptions and the applicability of each of the approaches studied;
3.Determine appropriate methods for practical inference problems and apply such methods to data.
4.Use R to program statistical tests

Why do we need to use the R statistical package?
We can use R for complicated statistical analyses or multiple calculations on a large dataset. It has powerful plotting, graphing, and data visualisation functions that are of professional quality. There are many freely available packages and libraries so that the user doesn’t have to waste time recreating the same functions. It is a fully programmable language, and is capable of connecting to relational database systems. In short, it is a versatile tool for data analysis and data mining, and it is very suitable for data assurance and auditing purpose. This tutorial and complied manual will give you the ‘fishing-rod’, so you can learn R at your own pace without going ‘Arrg’ and pulling your hair out!

Lecture 3
14 pages

Why do we need to use the R statistical package?

We can use R for complicated statistical analyses or multiple calculations on a large dataset. It has powerful plotting, graphing, and data visualisation functions that are of professional quality. There are many freely available packages and libraries so that the user doesn’t have to waste time recreating the same functions. It is a fully programmable language, and is capable of connecting to relational database systems. In short, it is a versatile tool for data analysis and data mining, and it is very suitable for data assurance and auditing purpose.

This tutorial and complied manual will give you the ‘fishing-rod’, so you can learn R at your own pace without going ‘Arrg’ and pulling your hair out!

Lecture 4
16 pages

An introduction to starting and using R We will go through the initial steps to loading and using R in this workshop.
Workshop 1.1
08:49

This is the text file "ACTpop.txt" for the first workshop for those not wanting to use their own.
ACTpop
91 Bytes

The second part of the workshop in learning R Remember to interactively run the commands. Type them and try altering them yourself.
Workshop 1.2
05:35

We continue to learn the basics in R
Workshop 1.3
09:20

We continue to learn the basics in R
Workshop 1.4
10:04

Why do we need to use the R statistical package?

We can use R for complicated statistical analyses or multiple calculations on a large dataset. It has powerful plotting, graphing, and data visualisation functions that are of professional quality. There are many freely available packages and libraries so that the user doesn’t have to waste time recreating the same functions. It is a fully programmable language, and is capable of connecting to relational database systems. In short, it is a versatile tool for data analysis and data mining, and it is very suitable for data assurance and auditing purpose.

This tutorial and complied manual will give you the ‘fishing-rod’, so you can learn R at your own pace without going ‘Arrg’ and pulling your hair out!

Tutorial 1 Why Do We Need To Use The R Statistical Package
35 pages
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Test yourself
0 Lectures 00:00