Professional course

Introduction to R

About this course

Course code:
Z41000088
Level:
Professional/Short Course
Department:
Engineering Design and Mathematics
Campus:
Frenchay
Duration:
One day
Delivery:
Short course delivered through both taught and practical sessions.
Programme leader:
Andrew Smith and Ben Derrick

Page last updated 18 September 2018

Introduction

We offer one-day short courses covering different aspects of applied statistics. Courses are non-credit bearing and are designed for quick learning of the material covered. Fees include refreshments and lunch. Any course materials, including pre-reading, are included in the fee.

Entry requirements

Overseas students need to have, in advance of application, either a valid student visa or evidence of residency status in the UK.

Structure

Content

R is a statistical software package and statistical programming language, which provides a huge variety of tools for statistical analysis. It is the most widely used free statistical software in academia, and the most sought after statistical programming skill in industry.

This course is an introduction to using the R software and language, suitable for those who have never encountered R before. No previous statistical knowledge is assumed but participants should be familiar with Microsoft Windows and Excel.

Topics include running calculations, handling data, organising instructions, calculation of summary statistics and producing graphics. Teaching is through guided computer practicals. The main learning objective is a familiarity with R that will give course participants a platform from which to explore the wide range of functions provided by R.

Assessment

This is a non-credit bearing course and no assessment will be undertaken. You will receive a certificate of attendance on completion of the course.

Prices and dates

Supplementary fee information

Please see the table below for current fees and discounts available. All prices are VAT exempt.

Discounts can not be used in conjunction with each other. The greatest discount available will be applied at your booking confirmation.

 

CohortFull FeeEarly Bird DiscountUWE Alumni/Student DiscountUWE Staff Discount
May 2019£240£216£204£120
Payment Deadline 5 April 201917 May 201917 May 2018

(Fees include car parking, lunch and refreshments)

Course Dates

CohortDateTime

May 2019

Session 1

 

Friday 31 May 2019

 

10.00 - 16.00

How to apply

How to apply

To make a full or provisional booking for this course, please complete the relevant online booking form below:

Cohort  
May 2019Book NowEnquire Now

 

For further information

  • Email: For all course queries, please complete the online enquiry form above.
  • Telephone: +44 (0)117 32 83649

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