Data Science with R Tidyverse

Description

Take your R programming skills to the next level with this short course in data science using R's tidyverse packages! Learn to code efficiently and elegantly to tackle everyday data science challenges in business, finance, scientific research, engineering and more!

Do you feel you have a basic knowledge of R but don't yet have the tools or confidence to tackle everyday data science problems like plotting, summarising, sub-setting and merging data? Still turning to MS Excel to manipulate, format, and visualize data? Then look no further.

Aimed at beginners and intermediates who have a basic understanding of R, this course introduces some of the core tools of the tidyverse. It covers a step-by-step guide to the most important functions offered by some tidyverse packages, providing students with a comprehensive toolkit to address everyday data science tasks.

The course covers the following areas:

1) Data manipulation with dplyr (filtering, sorting, creating new variables, summarising data, joining data sets, selecting columns/rows)

2) Data reformatting with tidyr (gathering variables, spreading out variables, separating data in cells)

3) Data visualization with ggplot2 (scatterplots, boxplots, bar charts, line charts, panels, adding errorbars)

4) Linking code efficiently using the magrittr forward pipe operator

After completing the course, you will be confident to use R for your everyday data science tasks!

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