Intermediate R Programming Course

Data Analysis and Analytics. Uncover insights and transform your organisation.

Limited time only | 15% off new courses

From today to 31 March 2019, enjoy 15% off our new courses from different subject areas. The discount will apply automatically on checkout. Enrolments made as part of this offer are non-refundable and this discount cannot be used in conjunction with any other offer. For more details please visit our fee concessions page.

Build on your basic R programming skills with this intermediate course focused on data analysis.*

The ability to extract, visualise, model and understand data is one of the most valuable skills in the information economy. This course will equip you to independently complete meaningful data analysis projects and communicate their insights to a wider audience.

*Participants are not required to have taken the introductory course – Introduction to R Programming. However, basic ‘R’ skills are a prerequisite for the course.

Aims

This course aims to provide you with:

• an understanding of the theoretical basis for modern data analysis approaches
• the skills and knowledge to independently perform a complete data analysis project including importing, tidying, manipulating, modelling, visualising and reporting on datasets.

Outcomes

By the end of this course, you should be able to:

• explain the concepts of ‘tidy data’ and the ‘split-apply-combine’ strategy of data analysis
• write documents in the R Markdown language and compile them into reports
• join data frames
• design R code to solve real-world data analysis problems
• write R code that uses control flow statements
• perform basic statistical analyses in R

Content

This course covers the following topics:

• writing and compiling R Markdown documents
• the tidy data concept
• importing and tidying messy datasets
• string and date manipulation
• joining data frames
• advanced visualisations with 'ggplot2'
• the split-apply-combine concept
• writing functions and control flow
• statistical tests and models.

Intended Audience

Suitable for any worker in the information economy who has a basic knowledge of R and wants to make use of it to perform complete data analysis projects.

Prerequisites

You are assumed to have attended the Introduction to R Programming Course, or to have an equivalent level of knowledge and experience. Please check the learning outcomes for Introduction to R Programming to make sure you have the required level of skill.

Delivery Style

Delivered as presenter-taught computer-based training in a computer lab.

Materials

A workbook and data files will be provided in class.

Please bring a USB flash drive to class if you would like to make a copy of your work or any relevant class materials. Alternatively, you can save these to a cloud storage space or email them to your personal email address.