Course Details and Schedule

This 2-session course will cover basic concepts in exploratory data analysis and statistical modelling using R. We will look at the standard techniques used to perform simple statistical tests and linear regression, write user-defined functions and produce well-designed publication-quality box and scatter plots.

See below for course schedule

Key topics
  • Obtaining and installing the R software
  • Basic R commands
  • Using the built-in R Help System
  • Importing data into R
  • Graphical display using box and scatter plots
  • Performing simple statistical tests
  • Statistical modelling using linear regression
  • Writing user-defined functions
Course information
Intended audience Anyone interested in using R for statistical analysis and graphical display.
Resources A course book must be purchased when you attend the course (included in the Cost below)
Software R 2.13.1
Format Presentation with practical exercises
Where next? R: Multiple regression analysis - a hands-on approach
Taught using:
Windows 7

Course provider: IT Learning Programme

What you will need:

BYOD friendly. A computer and software are provided, however you can bring your own with the correct software installed (read our guidance first)

Schedule
Booking normally opens 30 days before the course begins.
Commences Dates Time Sessions Cost Location Status
4th week Tuesday 17 May,
Tuesday 24 May
14:00-17:00 2 18.00 IT Services, 13 Banbury Road waiting list Add to basket
4th week Friday 20 May,
Friday 27 May
14:00-17:00 2 18.00 IT Services, 13 Banbury Road waiting list Add to basket
9th week Monday 20 June,
Tuesday 21 June
14:00-17:00 2 18.00 IT Services, 13 Banbury Road Booking opens May 21st 2016 Email me when booking opens

Can't make any of these dates? Express an interest in future dates for this course.

Frequency: Every term subject to teacher availability.