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R Programming - Stage 1 (Introduction)

University of Technology Sydney - Advanced Analytics Institute

Friday, 25 August 2017 from 9:00 am to 5:00 pm (AEST)

R Programming - Stage 1 (Introduction)

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Payment via the registration link 25/08/2017 Free  

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Event Details

R Programming - Stage 1 (previously R Programming – an Introduction) is the basic R Programming one (1) day short course for beginners and those seeking refreshment in R Programming. 

R is a very popular open source programming language that excels in statistics, visualisation and data analysis. It’s most significant advantage is that there are now several thousand add-on packages that are available to perform specific analysis tasks, and the whole software ecosystem is free of licensing restrictions or fees. This course will teach the basics of using R, focusing on data import and manipulation, basic programming concepts, visualisation, and simple statistical tests. We will also explore how and where to get help if you run into difficulties, and how to extend or customise the capabilities of R. Familiarity with computers and basic programming experience of some type is important, but no specific knowledge is assumed.

** Registration link with Fees information: 


Who Will Benefit?

This program is particularly useful for (audience)

  • Students beginning a research program that requires data analysis and programming skills
  • Researchers and Academics who wish to explore modern statistical languages
  • Industry practitioners who wish to process data using R.

Program Topics

  • Basic Data Import
  • Data formats
  • The Data Frame
  • GUI IDEs for R
  • Factors and tabulation
  • Managing Datasets
  • Summarising, Manipulating and Concatenating Data
  • Basic Array Operations
  • Linear Regression
  • Analysis Of Variance
  • Writing Functions
  • Extending R capabilities with freely available packages. 

Course Outcomes
Upon completion of this course, students will be able to:

  • Import data into R, manipulate it and clean it.
  • Visualise the data and perform simple statistical tests.
  • Extend R’s capabilities using free statistical software packages obtained from the Comprehensive R Archive Network.
  • Obtain documentation and learn new skills rapidly.

About the Presenter
Sam Ferguson is a Lecturer in the School of Software, Faculty of Engineering and IT at the University of Technology, Sydney. He has used R in a many of his approximately 35 publications in areas as diverse as spatial hearing and loudness research, to sonification, emotion, and table top computing. He has 10 years’ experience teaching programming and technical topics, and has taught numerous subjects at the postgraduate and undergraduate level at the University of Technology, Sydney, and at the University of Sydney. He has been a research fellow or assistant on more than 6 ARC research projects (many of which used R as their primary data analysis language).


Where can I register?

Go to: 

I am new to R and have no prior knowledge of computer programming and statistics. Will I be able to understand the course contents?

Yes. The course is designed for non-programmers who have no prior knowledge of R and statistics. 

How can I contact the organiser with any questions?

For specific queries regarding course content, please contact Colin Wise, Advanced Analytics Institute Tel: +61 (02) 9514 9267 or email with questions relating to this course.

For all other enquiries regarding enrolment or payment, please contact UTS Short Courses on Tel: +61 (02) 9514 2913 or email


Have questions about R Programming - Stage 1 (Introduction)? Contact University of Technology Sydney - Advanced Analytics Institute

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When & Where

University of Technology Sydney
235 Jones St
Ultimo, NSW 2007

Friday, 25 August 2017 from 9:00 am to 5:00 pm (AEST)

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University of Technology Sydney - Advanced Analytics Institute

The Advanced Analytics Institute (AAi) education and training program caters for academics and industry professionals seeking to expand their analytics expertise. We deliver a wide range of subjects, seminars, workshops and customised corporate courses across the breadth of analytics education

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R Programming - Stage 1 (Introduction)
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