Skip to content
Play overlay
Preview this course

Data Visualisation in R

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



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

4 students purchased this course

Add to basket or enquire


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.


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


8h 38m
    • 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


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?



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

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.


Currently there are no reviews for this course. Be the first to leave a review.


Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.