R for Data Analysis
Course Code: INT2RPG
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Master the basics of data analysis using the R Language
Descriptions
Who is this course for
Anyone wishing to learn more about R. A background in programming will be helpful but by no means essential.
Purpose of the course
Aimed at beginners this R course is intended to introduce the basics of the R language, but quickly moves on to cover all the key concepts you will need to master it.
You will learn how to
Get started with R and RStudio.Wrangle messy data into shape.
Perform Exploratory Data Analysis (EDA) using R.
Create R Notebooks.
Start using the power of R for your own needs.
Benefits for you as an individual
R, once the language of data scientists is becoming far more main stream; or has our changing business world meant we are all becoming data scientists? Regardless, R is here to stay and knowing how to leverage it's capability is essential.
Benefits for your organisation
R can deliver huge benefits to your organisation through its reporting & integration capabilities. All you need are highly trained staff to be able to harness those capabilities.
Prerequisites
None. Although a programming or data analysis background will be helpful.Introduction to R and RStudio
- Alternatives to R for Data Science
- Compiled vs Interpreted
- REPLs
- R IDEs
- RStudio
- R PAckages
- Updating R
- Turtle Graphics
- A Worked Example
Basic Data Input
- Sydney Beaches Dataset
- Tidyverse and here Packages
Data Wrangling
- Clean Up Your Column Names
- Exploring the Rows
- Comparing Councils
Visualising Data
- Time Series Plots
- Extracting the Date
- Compare Beaches
- Flip the Axes
- Add Colour
- Display a Third Variable
- Facet Wrapping
- Filter to Omit Outliers
- Saving Your Plots
Box, Violin and Pair Plots
- The Iris Dataset
- Data Distributions
- Box Plots
- Violin Plots
- Analyse the Data
Log Transform
- Box Plots of Beach Data
- Violin Plots of Beaches Data
Notebooks and Markdown
- Notebooks
- Markdown
- R Notebooks
- The RStudio Notebook Template
- An Iris Notebook
Interactive Documents
- HtmlWidgets
- Other Languages
- Reproducible Notebooks
- Share and Publish
- Are Scientific Pages Dead?
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