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Data Visualisation in R

Self-paced videos, Lifetime access, Study material, Certification prep, Technical support, Course Completion Certificate


Uplatz

Summary

Price
£14 inc VAT
Study method
Online, On Demand What's this?
Duration
8.6 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
  • Reed courses certificate of completion - Free

4 students purchased this course

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Overview

Uplatz provides this comprehensive course on Data Visualisation in R. This is self-paced video based training. You will be awarded Course Completion Certificate at the end of the course.

R is an open-sourced, well developed and simple programming language for statistical computing, data analysis, etc. R has inbuilt visualisation libraries that help to present & visualize data in a brief manner with the help of ggplot2, lattice, high charter, leaflets etc. ggplot2 makes it easier to build custom plots & help in producing multi-layered graphics. Lattice help in visualizing multi-varied data while high charters is a visualisation library in JavaScript. Data visualisation in R helps to build maps, 3D plots with the help of RGL and to understand the sequence of events.

R is an amazing platform for data analysis, capable of creating almost any type of graph. R is a language and environment for statistical computing and graphics. R is also extremely flexible and easy to use when it comes to creating visualisations. One of its capabilities of R is to produce good quality plots with minimum code.

Data visualization is an art of how to turn numbers into useful knowledge. R Programming lets you learn this art by offering a set of inbuilt functions and libraries to build visualizations and present data.

R supports four different graphics systems: base graphics, grid graphics, lattice graphics, and ggplot2. Base graphics is the default graphics system in R, the easiest of the four systems to learn to use, and provides a wide variety of useful tools, especially for exploratory graphics where we wish to learn what is in an unfamiliar dataset.

In this Data Visualization in R course by Uplatz, you will be able to learn the basics and introduction of fundamentals of how R uses an inbuilt visualization library to read multi-varied data, time-series data sets, maps etc. and makes it easier for the business to extract valuable information.

This course provides a comprehensive introduction on how to plot data with R’s default graphics system, base graphics.

After an introduction to base graphics, we look at a number of R plotting examples, from simple graphs such as scatterplots to plotting correlation matrices. The course finishes with exercises in plot customization. This includes using R plot colors effectively and creating and saving complex plots in R.

Certificates

Certificate of completion

Digital certificate - Included

Course Completion Certificate by Uplatz

Reed courses certificate of completion

Digital certificate - Included

Will be downloadable when all lectures have been completed

Curriculum

1
section
15
lectures
8h 38m
total
    • 1: Intro to Data Visualisation in R Preview 28:25
    • 2: Deep-dive into Data Visualisation with R - part 1 42:00
    • 3: Deep-dive into Data Visualisation with R - part 2 17:29
    • 4: Data Visualisation with ggplot2 package - part 1 41:07
    • 5: Data Visualisation with ggplot2 package - part 2 27:41
    • 6: Data Visualisation with ggplot2 package - part 3 30:42
    • 7: Data Visualisation with ggplot2 package - part 4 50:29
    • 8: Data Visualisation with ggplot2 package - part 5 34:13
    • 9: More Data Visualisation Tools in R - part 1 31:43
    • 10: More Data Visualisation Tools in R - part 2 31:50
    • 11: More Data Visualisation Tools in R - part 3 34:19
    • 12: More Data Visualisation Tools in R - part 4 39:54
    • 13: Project on Data Visualisation - part 1 35:00
    • 14: Project on Data Visualisation - part 2 37:38
    • 15: Project on Data Visualisation - part 3 34:51

Course media

Description

Module 1 - Basic Visualization Tools

  • Bar Charts
  • Histograms
  • Pie Charts

Module 2 - Basic Visualization Tools Continued

  • Scatter Plots
  • Line Plots and Regression

Module 3 - Specialized Visualization Tools

  • Word Clouds
  • Radar Charts
  • Waffle Charts
  • Box Plots

Module 4 - How to create Maps

  • Creating Maps in R

Module 5 - How to build interactive web pages

  • Introduction to Shiny
  • Creating and Customizing Shiny Apps
  • Additional Shiny Features

Who is this course for?

Everyone

Requirements

Passion and determination to succeed!

Career path

  • Data Visualisation Analyst
  • Data Visualisation Developer
  • Data Visualisation Engineer
  • Data Analyst
  • Data Scientist
  • Data Engineer
  • MI Analyst
  • Reporting Analyst
  • Python Programmer
  • BI Developer
  • Data & Analytics Professional
  • Data Consultant

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FAQs

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