Mô tả

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!

Bạn sẽ học được gì

Learn how to improve your R programming skills and code efficiently

Learn how to use powerful tidyverse tools to tackle everyday data science problems

Learn how to manipulate data with dplyr

Learn how to re-shape and re-organise data with tidyr

Learn how to create advanced graphics using ggplot2

Learn how to link code efficiently using the magrittr forward pipe (%>%)

Realistic worked examples to illustrate the tools of the tidyverse

Mini quizzes to test your knowledge of the tidyverse functions

Yêu cầu

  • Familiarity with the RStudio interface
  • Be able to install and load packages
  • Basic knowledge of data structures in R (vectors, matrices, dataframes, numbers, text characters)
  • Basic knowledge of common R operators (assignment, addition, subtraction, and, or, equals, not equals)
  • Very basic awareness of a function call in R and the concept of arguments of a function

Nội dung khoá học

5 sections

Welcome

1 lectures
Introduction
03:45

Data manipulation with dplyr

10 lectures
Filtering data
07:47
Selecting variables in data
04:03
Extracting rows in data
04:18
Creating new variables from data
07:27
Sorting data
03:10
Grouping variables
02:07
Summarising data
03:50
Magrittr forward pipe (%>%)
10:17
Joining or merging several data sets
11:43
Additional dplyr tips
07:04

Data re-shaping with tidyr

4 lectures
Introducing tidy data
04:46
Gathering variables
10:12
Spreading variables
02:29
Separating values within a cell
03:32

Data visualisation with ggplot2

9 lectures
Principles of a ggplot function call
13:31
Creating scatterplots
09:43
Creating boxplots
09:26
Creating barcharts
12:10
Creating line charts
04:31
Creating a panel of graphs
05:23
Additional ggplot2 tips
08:43
Advanced formatting in ggplot2
29:33
Errorbars
21:28

Importing and exporting with R

2 lectures
Working with excel and csv files
11:32
Working with Google Sheets
07:00

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