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Statistics - Automated Reports with R

15 & 16 July 2025


Royal Statistical Society

Summary

Price
£427.20 - £592.80 inc VAT
Study method
Online + live classes
Duration
2 days · Part-time
Qualification
No formal qualification
Certificates
  • Certificate of Attendance - Free
Additional info
  • Tutor is available to students

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Dates

Start date
End date
15/07/2025
16/07/2025

Overview

This course will be held over 2 afternoons, on the 15 & 16 July 2025. It 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.

Certificates

Certificate of Attendance

Digital certificate - Included

Description

This course will be held over 2 afternoons. It 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

Who is this course for?

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.

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