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R Programming

Get familiar with the power of R Programming on our four-course series. Either dive into all four days for the full learning experience or choose the specialist skills you need.

Why R Programming

From Data Carpentry to Machine Learning, we’re giving you a unique opportunity to up your game when it comes to data. Gain familiarity with the best-in-class language and tool used by researchers, scientists and business professionals.

Who is this series for?

No prior programming knowledge is assumed for attendees. This series is suitable for many fields of work including biologists, statisticians, accountants, engineers and research students – anyone who uses a spreadsheet!

COURSE SERIES OVERVIEW

Intro to R - 1 day course

This is a one-day intensive course on R and assumes no prior knowledge. Learn how to efficiently code in R. Grasp fundamental techniques like functions for loops, conditional expressions and learn when to use them.

Data Carpentry - 1 day course

Bring yourself to the forefront of data science with the tidyverse. Work with data on a day-to-day basis? Take the pain out of data manipulation by leveraging the tidyverse. This course covers key aspects of the tidyverse, including dplyr, lubridate, tidyr and tibbles.

Visualisation - 1 day course

Learn today's most advanced plotting library. Leverage the power of ggplot2 to create advanced and informative graphics

Statistical Modelling in R

Make standard statistical techniques easy with R, out of the box. Learn R’s fundamental modelling techniques, from hypotheses tests, ANVOA tables, regression analysis, to more sophisticated methods such as clustering and principal components analysis (PCA).

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