Github
LinkedIn
Twitter
YouTube
RSS

Training Course Details

Rapid reporting for analysts: An Introduction to R programming through to reporting in three days

Rapid reporting for analysts: An Introduction to R programming through to reporting in three days

Course Level: Foundation,Intermediate

Jane produces reports both weekly progress, monthly, quarterly and annual overviews for management and the board. She uses a variety of licensed software/tools because each one has limitations. This course aims to take each individual through the fundamental approach to using R programming in her current role. By the end of the course the individual will be working towards automating all of their reports.

No Events Currently Scheduled

Sorry, there are no upcoming events for this course, but please get in touch if you would like to be kept informed when events are scheduled in the future.

View our full training course calendar »

Course Details

  • Course Outline
  • Learning Outcomes
  • Materials
  • Prior Knowledge

Course Outline

Day 1: Introduction to R

  • Introduction to R: A brief overview of the R environment including the R working directory, creating/using scripts, saving data and results.
  • Data entry: A description of how to import and export data from R.
  • Data analysis: Learn quick efficient methods to gain insights from data using {dplyr}.
  • Summary statistics: Calculating means, variance and other useful data summaries.

Day 2: Advanced Graphics with R

  • Introduction to a versatile approach to achieve impressive graphics in R with {ggplot2}.
  • Creation of different plot types: histograms, scatter, density, box plots.
  • Working examples of how to alter the design, including scales, axes and legends.
  • Adding the finishing touches with colours, themes, additional information.

Day 3: Reporting with R Markdown

  • R Markdown: Creating documents using Markdown
  • {knitr}: Running dynamic R code
  • {kableExtra} & {DT}: Embedding tabular data into output documents
  • {bookdown}: Writing books and long-form reports with R Markdown
  • {flexdashboard}: Creating interactive dashboards
  • Parameterised reports: Creating flexible reports
  • Widgets: Exploring interactive HTML widgets

Learning Outcomes

By the end of the course participants will be able to…

  • Import and export their own data from spreadsheets and other data storages to R.
  • Manipulate data in ways such that they can efficiently analyse data.
  • Be able to efficiently plot their own data in eye catching ways within seconds.
  • Be able to customise their graphs with colour schemes, themes, fonts and grid layouts.
  • Learn to build automated reports including data, text and graphics using R Markdown.

Materials

Prior Knowledge

No prior programming knowledge of any kind is assumed. This course is suitable for all fields of work. Previous attendees include biologists, statisticians, accountants, engineers & students, i.e., anyone who uses a spreadsheet! Participants should bring a laptop.

Attendee Feedback