R Training – Introduction – 2 Days
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The staff was really friendly and professional as well.
← | →
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Acuity proved out to be great course provider and had great communication with its trainees. Its courses and services are great help.
← | →
Course
In London
Description
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Type
Course
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Location
London
This beginners R training course will introduce you to the basic skills needed to use work with R.
It covers all of the key skills that you will need to use R independently. These include importing and exporting data, some basic data analysis and testing techniques and then finally regression modelling and data visualisation.
Our highly experienced R trainers have many years of experience and will quickly get you using R confidently. Our courses are hands-on which means that you will leave the course with plenty of practical R experience.
Once you have completed this course you will be ready to move onto our Advanced R training course.
This is a two day course for a group but could be reduced to 1 day for 1-2 people.
Facilities
Location
Start date
Start date
About this course
This beginners R training course will introduce you to the basic skills needed to use and work with R.
The course covers the key skills that you will need to use R independently. These skills include importing and exporting data, working with R data objects, summary statistics, basic data analysis and hypothesis testing techniques as well as data visualisation.
This course does not assume any prior familiarity with R. A general working knowledge of basic statistical hypothesis testing would be helpful but is not essential.
Our courses run from 9.30 am to approximately 4.15pm. While you are with us we are focused on offering you a relaxed and productive learning environment. When you book a course with use you get the following:
A full colour training manual/book.
The exercises that you have worked on during your course to allow you to practice afterwards.
USB stick to take the exercises away.
Certificate of attendance
Freshly prepared lunch.
Refreshments throughout the day.
Training in fully air conditioned facilities from an experienced instructor.
Reviews
-
The staff was really friendly and professional as well.
← | →
-
Acuity proved out to be great course provider and had great communication with its trainees. Its courses and services are great help.
← | →
Course rating
Recommended
Centre rating
Trusted Customer
Caroline MacGregor
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 10 years
Subjects
- Testing
- IT
- Data analysis
- Statistics
- Mathematics
- Maths
- Visualisation
- Training evaluation
- It skills
- R training
Course programme
The first session gives you an introduction to R and gets you using it. We carry out some simple mathematics and also look at finding help and how to access additional command packages.
- Simple maths
- Object names
- Joining Items
- Getting help
- Command packages
This section covers more introductory material (for example, how to import and export data) and also introduces the concept of objects. It then moves on to how to handle and manipulate objects.
- Disk Directories
- Importing data
- Managing data items
- Types of data object
- Exporting data
- Object properties
- Subsetting
- Re-aranging
During this session you see how to gather summary statistics from different types of data.
- Summary statistics
- Manipulating data
Tables and frequency data
In this session you’ll find out how to make frequency tables from data tables. You’ll also learn about cross tabulation and how to change data from one form to another.
- Tabulation
- Cross tabulation
Statistical testing
Here you will look at basic hypothesis testing as well as presenting the results in a graphical format. The session will cover simple differences tests, correlation and tests of association. You’ll also look at random number generation and different kinds of data distribution.
- Data distribution
- Random numbers
- Tests of distribution type
Statistical tests
- Stats tests (t, U, cor, chi)
Graphics
- R Graphics (basics)
The final session of the course will look at some methods of statistical modelling. You’ll focus on analysis of variance (ANOVA), a widely used analytical tool. The step-up from basic hypothesis testing to more advanced techniques is an important one and will give you a good foundation to explore more modelling methods (e.g. machine learning) in the future.
You’ll see how to use the powerful formula notation to describe analytical situations. You will also learn how to present the results graphically.
- Formula notation
- ANOVA
- ANOVA summary
R Training – Introduction – 2 Days