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September 2018

Advanced R: Canberra, 25–26 September 2018

September 25 @ 9:30 am - September 26 @ 5:00 pm
Atlas Computer Training, Canberra, Level 1, 33–35 Ainslie Place
Canberra, ACT 2601 Australia
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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…

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Advanced R: Sydney, 27–28 September 2018

September 27 @ 9:30 am - September 28 @ 5:00 pm
BCA, Sydney, BCA, Level 1, 65 York Street
Sydney, New South Wales 2000 Australia
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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…

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November 2018

Advanced R: Melbourne, 22–23 November 2018

November 22 @ 9:30 am - November 23 @ 5:00 pm
Saxons Training Facilities, Melbourne, Saxons Training Facilities, Level 8, 500 Collins Street
Melbourne, Victoria 3000 Australia
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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…

Find out more »
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