Everyday R:
Foundations in R
(Half-Day)

The Everyday R: Foundations in R half day course aims at gently introducing R programming to those who want to explore their data and make sense of it. The course will provide the basic building blocks to get started with R using modern tools such as the tidyverse.

R for everyday use

R is a powerful statistical programming language but there is a misconception that it can only be used by data scientists and statisticians. Most people are not data scientists!

If you work in Excel or undertake data cleaning or produce reports, this course can help introduce you to R and assist with these tasks. The trainer has worked in various professional organisations and the course is framed around real world data sets and using R to efficiently analyse data.

Other courses can be intimidating especially for non-coders. Our training endeavours to combine practical experience and technical knowledge to help you use R in your job well.

Your instructor

Hung Vo

Hung Vo is an independent at Coeus Analytics and is a senior manager at Austin Health. He understands the challenges with dealing with data in both a research and business context. He has worked on multiple business intelligence and data analytics projects in a range of industries from contact centre operations, public healthcare and higher education.

Hung has upskilled people in R programming and tailors his teaching and knows that not everyone is a data scientist or statistician. With peer-reviewed research published combined with extensive professional experience, Hung offers a good blend of skills and experience when teaching people how to apply R in real-world situations.

Pre-requisites

No experience with R is required. This course assumes no to limited experience with programming.

You will need a laptop to install the required software and an internet connection to access the learning materials.

Topics covered

The following topics will be covered with some additional time allowed at the end of the course to recap and ask the trainer any questions.

Topic	Description
Basics of R	An obligatory introduction to what R programming is and how it has evolved. We will further examine various data types and structures that exist in R.
Importing and exporting data	Common data files can be imported such as csv and Excel files. You'll learn how to efficiently import data files prior to any subsequent data transformations.
Data transformation and wrangling	Learn how to use the core packages (e.g. dplyr, tidyr etc) in the tidyverse on how to transform your data into a "tidy" structure to enable easier analysis.
Summarising and analysing data	We will then move into the nitty gritty of summarising data with various functions. Our workflow for this half day course will ultimately lead you from importing data through to analysing data.

What’s in it for you?

The goal of this course is to ease you into R and show you the fundamentals of quickly importing, transforming and analysing data. You will run through examples of how the instructor has integrated R in their everyday work. This should provide practical examples for you to gradually include it into your jobs and build your level of data fluency.

You’ll receive:

• Insight into how your instructor has applied R into their work to help you improve your data and reporting skills at work

• A framework on getting started on how to tidy data to prepare for data analysis

• Handy slides summarising the course material

• Worked examples that use real world data sets for analysis

• Private online access to the course material, example code and additional R references

• Bonus! 30-minute private R session with the trainer!

Testimonials

This course was exactly what I needed to get started with R. Sometimes, learning new tools can feel like you’re trying to jump up and grip the bottom rung of a ladder. This course got me there - maybe even up to rungs 1 or 2! It’s so useful to have someone to explain the basic concepts and help trouble shoot. Now I understand how to get to where I want to be. Thank you Hung!

Juliette O’Brien Data Journalist

Really enjoyed the course and was a good taster to further explore how R can be used in statistics. Hung was patient and demonstrated a high level understanding on how R can be used in different disciplines.

Jessica Grieger Senior Research Fellow
University of Adelaide

The course was a great introduction into R and I am looking forward to applying and developing the new skills I have learnt. Hung was very engaging and knowledgeable and made the course very enjoyable.

Rebecca Thomson Research Fellow
University of Adelaide

Sample slides

Here’s a snippet of what the exercises may look like in the real course. Scroll through the slides to check out an example of what we might cover during the course.