R Training Course

Highlights

• Clean, normalise and gather data from Excel, SPSS, .csv and other sources 

• Learn the basics of tidyverse

• Perform exploratory data analysis

• Combine ggplot2 and tidyverse to calculate meaningful summaries

• Design effective data visualisations and produce them from your data 

• Gain an introduction to Business Intelligence and its tools

• Gain an introduction to Web Scraping: programmatically extracting links and images from websites

• Learn about Web Scraping with HTML and CSS 

• Automate scraping with functions and parallel programming

• Create, obtain and design maps and geographic data 

• Visualise geographic markets interactively with the leaflet package

Course Details

Introduction to R and RStudio

•    Basics of the R language
•    Advantages of RStudio
•    Discovering, installing and using R packages

Data wrangling and tidyverse basics

•    Introduction
•    Importing data from Excel, .csv, SPSS and SAS files
•    Long vs Wide Data
•    Data.frames, tibbles and tidy data
•    Factors, Dates and other data types

Exploratory Data Analysis

•    Introduction
•    Summary statistics
•    Cross-tabulation and hierarchical group summaries
•    Quickly visualise and explore datasets with ggplot2

Business Intelligence

•    Introduction
•    Design effective data visualisations
•    Create functions to automate repetitive tasks
•    Use RMarkdown to create PDF, HTML and MS Word reports

Web scraping

•    Introduction
•    HTML and CSS basics for web scraping
•    Extracting links with rvest
•    Automating scraping with functions and parallel programming

Maps and Geographic Data

•    Introduction
•    Creating geoscatterplots
•    Obtaining shapefiles to create choropleth
•    Designing effective choropleth with leaflet

Who should attend

This course is aimed at those who want to incorporate R into their data analysis and business intelligence, particularly to replace existing Excel-based workflows.

You’ll leave the course confident in using R to empower business decisions and harnessing data to understand and better communicate with your customers