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
Feedback
4.8 out of 5 average
"I enjoyed customising the training based on our needs and implementing data similar to that which we deal with. The business intelligence section of the course was very useful and the trainer ran the course at a good pace."
ES, Assistant Executive, R for Data Analytics, May 2021
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
