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An Introduction to Using R for Business Analytics

 
         
  Ref. 450  
  Richard Vidgen
  6 June 2017, Birmingham
  £500 + VAT Members
  £550 + VAT Non-members
  Hands-on course
         

 

   
   Foundation NA
   Descriptive NA
   Predictive
   Prescriptive
 

This is a practical introduction to R, a powerful programming language for statistical computing and business analytics. R is the most widely used analytics environment for data scientists – and it’s free. Delegates will learn the basics of the R language and how to build descriptive and predictive models.

The course will help you to understand how predictive models are changing business and get an overview of the vast range of methods available in R. You will be able to use R to start exploring and modelling your organisation’s data and take away R code examples for common tasks (e.g., missing data analysis). You will learn how to use the R community’s online resources to help build models and avoid ‘reinventing the wheel’. Throughout the course you will learn to use R through hands-on exercises and problem-solving.

You’ll gain:

  • Understanding of the model building and model validation process
  • Ability to perform simple data manipulations using R
  • Ability to build simple models using R (e.g., multiple regression and cluster analysis)
  • Understanding of how to use R for text analysis (e.g., sentiment analysis, topic modelling) to manipulate data using R
  • Ability to visualise data using R

If you are interested in further information, have any requirements (e.g. an alternative course date), or have difficulty booking a course online then please contact Jennie Phelps. It is recommended that courses are booked online. If this is not possible, then please print off, fill and fax or post the Training Course Booking Form.

 
Jennie Phelps   Address:  The OR Society, Seymour House, 12 Edward Street, Birmingham, B1 2RX, UK
  Tel: +44 (0)121 233 9300
  Fax: +44 (0)121 233 0321
  Email: jennie.phelps@theorsociety.com