MELBOURNE: 22–23 November
DATE & TIME
Mon., 22/11/2018, 9:30 am –
Tue., 23/11/2018, 5:00 pm AEST
Saxons Training Facilities
500 Collins Street
Melbourne, Victoria 3000
About the Course
This class builds on the introductory R class, providing students with powerful, modern R tools including pipes; the tidyverse—featuring the powerful dplyr and tidyr packages for data manipulation, along with many other packages that make coding for data analysis easier, more intuitive and more readable; and the tibble data type that makes it possible.
The course will also provide a deeper view of functional programming in R, which also allows cleaner and more powerful coding.
R Markdown and R Notebooks allow the creation of readable and presentable documents as well as a transparent, interactive record of your work.
Finally, the shiny package is introduced as a powerful method for creating browser-based dashboards, interactive applications and graphical user interfaces to R code.
The course will be led by Presciient director Dr Eugene Dubossarsky or another Presciient instructor.
Dr Dubossarsky is the head of the Sydney Users of R Forum. Eugene is also Principal Founder of Analyst First, an international analytics industry organisation. He is a founder of the Institute of Analytics Professionals of Australia (IAPA); Director, University of New South Wales School of Mathematics and Statistics Industry Advisory Board; and a recognised industry leader in Business Analytics. Eugene is an experienced, analytics professional of 20 years’ experience programming in R and its parent language, S.
Having studied stats at Uni I was surprised how far the field has progressed in the last few years, particularly in the area of big data. The great thing about Eugene’s course is I left with a sense that I was up to date with the latest big data modelling concepts but more importantly could also deploy them with some confidence using R. Eugene also made it clear he was available to answer questions after the course, so you are not left hanging. I would absolutely recommend this!
—Damon Rasheed, CEO, Rate Detective
For someone who does not come from an IT background R is a terrifying program. Before doing the Introduction to R course I had previously done other courses in R but always found myself in over my head because they assumed a high level of program experience (even course that required no prior programming knowledge). This course is not like that at all. It starts at ground zero and teaches you everything you need to know to be able to use R confidently in your everyday workplace. It is a must attend for anyone who wants use R!
Data science can be a challenging topic but Eugene’s “Introduction to Machine Learning” course turns complex statistical models into plain English. The course contents and presentation were accessible and I enjoyed the mixture of hands-on rattle() exercises, the challenge of building multiple models with real life data, and the salient theory whiteboard discussions created many “aha” moments.
It was a great introductory course and it gave me with a better grasp of Machine Learning in general, a great framework for thinking about it and practical hands-on skills that I can put to immediate use. I wish I had done this course sooner.
—Charl Swart, Director of Business Operations, Unisys Credit Services
QUESTIONS AND FURTHER INFORMATION
Meals and refreshments
Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.
Course material may vary from what is advertised due to the demands and learning pace of attendees. Additional material may be presented along with or in place of what is advertised.
Frequently asked question(s) (FAQ(s))
Do I need to bring my own computer?
There’s no need to bring your own laptop or PC. Our courses take place in modern, professional training facilities that have all the computing equipment you’ll need.