Automated Reports with R - Virtual Classroom

Date: Wednesday 15 July 2020, 10.30AM - 6.00PM
Location: Online
CPD: 6.0 hours
RSS Training
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This one day, tutor lead, virtual course will take you through the fundamental approach of R Programming to creating automated reports.The course commences with an introduction to R Markdown and how you can embed R code directly into a document.  By the end of this course you will be able to work on your own data, importing and exporting data from spreadsheets and other data sources. You will learn how to build automated reports using data, text and graphics using R Markdown.

Course attendees are encouraged to bring their own data or sample data they would like to create a report with, however that is not essential.
 

Course Outline

This one day course will take you through the fundamental approach of R Programming to creating automated reports.The course commences with an introduction to R Markdown and how you can embed R code directly into a document.  By the end of this course you will be able to work on your own data, importing and exporting data from spreadsheets and other data sources. You will learn how to build automated reports using data, text and graphics using R Markdown.

Course attendees are encouraged to bring their own data or sample data they would like to create a report with, however that is not essential.
 

Topics Covered

  • R Markdown: Creating documents using rmarkdown
  • Knitr: Running dynamic R code
  • Automate: Automate documents and apps
  • LaTex: A brief introduction to LaTex for additional styling
 

Target Audience

This course is suitable for data analysts. It is expected that participants are already familiar with R. In particular they should be familiar with basic data manipulations, functions, if statements and for loops. These concepts are covered in our Introduction to R course.

All software will be provided on a web server for delegates to use on the course.
 

Dr Rhian Davies

Dr Rhian Davies has a PhD in Statistics specialising in clustering. As a data scientist, she has worked closely with varied domain experts including physicists, psychologists, game designers and engineers.

Rhian has been using R for over ten years and is an active member of R Ladies. She's also a statistical ambassador for the RSS and enjoys helping people understand statistical principles.

 

Fees

   

Registration before
 15 June 2020

 

Registration on/after
 15 June 2020

                                  

Non Member 

RSS Fellow 

RSS CStat/Gradstat also MIS & FIS

 

£392.00+vat 

£332.00+vat 

£314.00+vat

£435.00+vat 

£370.00+vat 

£349.00+vat

 
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