Data Analytics Courses - Remote Training
Learn R programming - live online classes
Courses running remotely. Face-to-face classes as per city schedules.
Our Data Analytics courses are delivered live online by a member of our experienced team.
Learn how to use programming languages and techniques to achieve more efficient and in-depth data analysis. R Programming Basics, the first course in our Data Analytics series, will give you a foundational understanding of R. You will understand R data types and objects, write basic syntax, use functions and perform basic modelling and prediction. You can then build on this to develop your capability in R with our Beginner, Intermediate and Machine Learning courses.
R Beginner
Learn the basic principles of R programming, the language for statistical and data analysis.
R Intermediate
Data manipulation, basic exploratory data analysis, customised data visualisations and basic modelling in R.
R Advanced
Build on your base knowledge of the R language and learn how to run data analysis more efficiently.
Machine Learning in R
Learn the basic processes of machine learning using R programming. Led by an experienced data scientist.
Course Introduction
Our R courses were designed by Tamara Shatar, who holds a PhD in Agricultural Data Science. She focused her extensive experience and skills in modelling using machine learning, simulation and other techniques to create a course with depth and applicability.
The course is consistently well-reviewed by students.
"The course was really good, the resources provided to help after the course are excellent. I was a bit overwhelmed at the beginning trying to learn a new language, but I was put at ease and we went through the content at a pace that I could understand." - R Basics Brisbane
"Great structure, material and manual. I have completed programming courses before but this one just made more sense! Looking forward to the Intermediate course." - R Beginner Sydney
What is R?
R is an open-source and free programming language that was developed for statistical analysis and the production of high-quality graphics. It has long been popular with statisticians and academics who make up part of the large active user community behind R. This community has contributed over 15,000 packages that extend the base functionality of R, making it easy to implement a vast range of techniques for data manipulation, analysis and visualisation.
Can I run R Scripts in Power BI?
Yes, our recorded webinar introduces running R Scripts in Power BI. It's worth investing the time to get comfortable with this topic and understand the possible applications for your workplace. R scripts in Power BI
How should I prepare for my online course?
Install R - https://cran.csiro.au/ - select base
Install RStudio - https://rstudio.com/products/rstudio/ - RStudio Desktop (open source ed.)
Install Hmisc and psych packages. Open up RStudio and go to Tools > Install Packages. Under Packages, type in 'Hmisc'. Repeat this process for 'psych'.
If you have difficulty installing the packages, go to Tools > Global Options > Packages and untick 'Use secure download method for HTTP'.
Install R - https://cran.csiro.au/ - select base
Install RStudio - https://rstudio.com/products/rstudio/ - RStudio Desktop (open source ed.)
Install the tidyverse Open up RStudio and go to Tools > Install Packages. Under Packages type 'tidyverse'.
Install R - https://cran.csiro.au/ - select base
Install RStudio - https://rstudio.com/products/rstudio/ - RStudio Desktop (open source ed.)
Install the Hmisc and tidyverse packages (see instructions above)
Install R - https://cran.csiro.au/ - select base
Install RStudio - https://rstudio.com/products/rstudio/ - RStudio Desktop (open source ed.)
Install Power BI Desktop.
Download the dataset from https://archive.ics.uci.edu/ml/datasets/bike+sharing+dataset
Go to Data Folder and download the zip file. We will be working with the hour file.
Run the following in RStudio (or install each of these packages):
install.packages("DescTools")
install.packages("factoextra")
install.packages("tidyverse")
install.packages("rfm")
install.packages("cluster")
install.packages("rpart")
install.packages("rpart.plot")
install.packages("caret")
install.packages("ranger")
install.packages("Metrics")
install.packages("randomForest")
Please run the following test to ensure that Power BI is detecting your installation of R and installed contributed packages.
You must have installed the tidyverse package to your machine prior to running this script. If you have not done this already, please install it from RStudio and then do the following.
Open the Power BI file named Test.
Click on Transform Data.
With the query, Test selected:
Click on Run R Script
This will open a window. Under the existing text, copy in the following:
library(tidyverse)
y <- dataset %>% sqrt
If you are asked about privacy levels, grant access or ignore.
If this is successful, you should see a table containing the square roots of the numbers 1-10.
If it fails and returns an error, please email [email protected]
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