Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Data Visualization using R programming
Rating: 4.8 out of 5(6 ratings)
17 students

Data Visualization using R programming

You’ll learn when and how to create histograms, bar charts, scatter plots, line graphs and more!
Created byGreg Martin
Last updated 4/2023
English

What you'll learn

  • Data analysis
  • Statistical analysis
  • Data cleaning
  • Data manipulation
  • Data visualization
  • Machine learning and
  • AI (artificial intelligence)

Course content

3 sections11 lectures2h 17m total length
  • Why use R3:28

    Discover why R is a free, open‑source tool for data and statistical analysis with visualization. It enables reproducible, repeatable workflows via thousands of packages and intuitive coding, with support.

  • How to install R and R studio6:57

    Learn to download and install R and RStudio on Mac, explore the four-quadrant interface, run code, view outputs, and access plots, files, packages, and help for data visualization.

  • How to import data and install packages11:24

    Learn to start an RStudio project, import data, and install packages. Use select, filter, and arrange with the pipe operator to manipulate data.

Requirements

  • No experience needed. You will need everything you need to know.

Description

Data visualisation with R is absolutely incredible. No other package or platform comes close. There are simply no limits! If you can imagine it, you can create it - it’s that simple! In this course you’ll learn how to use ggplot (a free package that you can install into R Studio). It represents a revolutionary way to think about data visualisation - layer by layer. It’s actually really fun to use and quite exciting to see incredible graphics emerge right in front of you.

The trick to good data visualisation is understanding your data; in particular, the different types of data that exist within your dataset. Different combinations of variables should be visualised using different kinds of graphs and this course will walk you through all of that. You’ll learn when and how to create histograms, bar charts, scatter plots, line graphs and more.

Once you’ve ventured into the world of ggplot, believe me, you’ll never want to use anything else. It gives you a level of control that is quite remarkable. You’ll be able to communicate your thoughts and ideas to others using powerful graphics. This course is the first step to an ongoing adventure into the world of data visualisation. So don’t delay. Sign up and start learning - what have you got to lose?

Who this course is for:

  • Beginners.