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Statistics - Automated Reports with R

16 & 17 July 2024

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
16/07/2024
17/07/2024

Overview

This course will be held over 2 afternoons, on the 16 & 17 July 2024. 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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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

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Similar subjects: Data analysis, Statistics, Business, Maths
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