Introduction to R and Data Visualisation on Jun 15 in Training Choice - Canberra

Thank you for your interest in Introduction to R and Data Visualisation on June 15

Please note that the price listed does not include GST. 10% GST will be added upon purchase.

This class is no longer accepting new registrations. We encourage you to view other dates on our public schedule.

When is this training taking place?

This class is scheduled to run over the following day(s):
Thursday, June 15, 2017 9:30 AM - 5:00 PM
Friday, June 16, 2017 9:30 AM - 5:00 PM

All times are based on the following time-zone: Australian Eastern Standard Time (New South Wales)

Is this class confirmed to run?

This class is not yet confirmed but it will most likely run. Your registration will help confirm the class taking place.

About Class Confirmation

Where is this training taking place?

This training is taking place in Training Choice - Canberra.

Level 4
54 Marcus Clarke Street
Canberra, ACT 2601
Australia

What is the price for this training?

This training is priced at $ 2860.00 AUD per participant.

We accept payments by credit card (VISA, MasterCard, American Express, and Discover Card) or by purchase order.

Who is providing this training?

This class is delivered by Contexti.

How is this training usually structured?

Typically we divide the training days into four sessions. Two sessions before lunch, and two sessions after lunch. Between any two sessions, we take a break. Short 15-minute breaks in the morning and the afternoon, and usually an hour-long lunch-break.

The last hour is usually reserved for questions and answers.

Attendees are encouraged to arrive at least 20 minutes early on the first day of the class and 15 minutes early for the remainder of the training.

What is provided for this training?

For this training, Contexti provides:

  • A take-home copy of the training materials.
  • All equipment required to perform the hands-on parts of this class. This usually means a personal computer.
  • Refreshments. This usually includes coffee, tea, juices, soft drinks, and water to keep you hydrated.
  • Food. A selection of food to choose from will be provided at lunch time. This usually includes burgers, sandwiches, wraps, salads, pizzas, etc.

What language is this class taught in?

This class is taught in English.

What am I responsible for?

You are responsible for:

  • Transportation to and from the classroom
  • Arriving to class on time (including from the breaks)
  • Meeting the class prerequisites. See the course page for more info.

Who are your instructors?

Our instructors have superb hands-on experience with the technology they teach and many of them are published authors. This gives them the ability to go beyond the curriculum and to illustrate examples inspired by your specific project goals.

What is the maximum class size?

This class allows up to 24 participants.

In general, we strive to have an optimal class size, such that:

  • Instructor(s) can provide adequate attention to participants' questions and concerns as well as assist with the lab-work.
  • There are enough participants in the class to create an engaging group-dynamic, which facilitates learning.

Do you have a list of references?

References can be provided on request. Please contact us.

What happens when I register?

Once you register, we will send you a confirmation email that includes the information you will need to attend this training.

Training Locations

They Took This Instructor Led Training

    I found the Introduction to R course extremely helpful. I have had very limited experience with R (and programming / statistical computing in general) and I now feel confident that I can use the language to do what I need with my data. The course was well designed and the notes are very helpful. I recommend this course to anyone who is new to R and wants to learn quickly.

    - Helen McCormick, PhD student, Epigenetics Laboratory, Victor Chang Cardiac Research Institute

    The Introduction to R course provided clear and logical assistance to getting up and running with R. More than that, the real value was in providing guidance on the myriad of online resources and introducing me to a network of passionate and helpful R users. Eugene is a knowledgeable and approachable teacher. I wouldn't hesitate in recommending the course. I feel that I am now fully on the road to applying R and using data to improve efficiency across my organisation.

    - James Orton, Data and IT Manager, UNICEF Australia

    I have been trying to convert my Stata programming skills to R, however, there have been many times where I just wanted to sit down with someone and have them explain the fundamentals of programming in R. Sure, a number of books and websites have helped me become familiar with R, however, I still didn't feel ready to translate all of my familiar Stata commands to R (e.g. I am comfortable plotting graphics using ggplot2, however, revert back to Stata for data manipulation). I knew that a more effective way to learn and feel confident would be to sit down with someone and have them explain how they use R, how they clean data, how they plot graphics, etc. I knew that once I felt comfortable with cleaning my data in R, analysis would be less of an issue - I'm happy to research the specifics on my own.

    Thank you Eugene for advancing my R skills. I especially appreciate the time spent explaining the fundamentals of data manipulation - i.e. the code one needs to know before running any basic or sophisticated analysis. The pace of the workshop was perfect.

    - Dr Chelsea Wise, Lecturer, Marketing, UTS Business School