This course is part of several tracks, including Data Analyst with R, Data Scientist with R, and R Programming, all of which can help you develop your knowledge. These sought-after skills can help you progress in your career and set you up for further learning. Finally, you’ll explore how to work with R data frames and lists.īy the time you’ve completed our Introduction to R course, you’ll be able to use R for your own data analysis. (Total 50MB) and about 50 friends (Not everyone can be online at the same time). You’ll also examine how R uses factors to store categorical data. RStudio Server Pro 1.4 Workbench 1.4+ All Documentation Connect Connect. Next, you’ll learn how to work with matrices in R, learning how to create them, and perform calculations with them. Once you’ve had a chance to practice, you’ll move on to creating vectors and try out your new R skills on a data set based on betting in Las Vegas. You’ll get started with basic operations, like using the console as a calculator and understanding basic data types in R. You’ll gain useful coding skills and be ready to start your own data analysis in R. This introduction to R course covers the basics of this open source language, including vectors, factors, lists, and data frames. R's ability to handle complex analyses such as machine learning, financial modeling, and more makes it a valuable asset for a wide range of data-related tasks. Please be aware that this workshop teaches the computing not statistics, it is assumed you have previous knowledge of basic statistics for the modelling session.R programming language is a useful tool for data scientists, analysts, and statisticians, especially those working in academic settings. The zoom link will be sent when enrolment is confirmed.
They are both FREE and Instructions will be provided in advance. NOTE: You must install R and RStudio prior to the course.
Instructors: Dr Brad Wakefield and Professor Marijka Batterham. Time: The course is split over 2 days Monday 10th October and Tuesday 11th October 1230-330pm each day on zoom.Ĭost: A charge of $110 (or $100 from an internal account). Target audience: postgraduate students/staff who have previously completed an introductory statistics or data analysis subject and are planning to collect and manipulate, visualise and/or analyse data using R/RStudio.
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