GitHub
LinkedIn
Twitter
YouTube
RSS

Rapid Reporting for Analysts

Rapid Reporting for Analysts

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.

Book: Rapid Reporting for Analysts

Start Date:
Price:
Venue Details:
Time:
Duration:

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