Introduction to Data Visualization with R using ggplot
- Level(s) of Study: Short course
- Start Date(s): 10 May 2023
- Duration: Wednesday to Thursday 9.30 am - 5.30 pm
- Study Mode(s): Short course
- Campus: City Campus
In this two-day course, you will gain a comprehensive introduction to data visualization in R using ggplot. We will cover all the major data visualization techniques and use them to explore and illustrate the major patterns in data.
This course is aimed at anyone who is interested in doing data visualization using R. Data visualization is a major part of data science and statistical data analysis, and R is the most widely used program for data science and statistics. Data visualization using R is widely used throughout academic scientific research, as well as widely throughout the public and private sectors.
Level: CPD, Advanced / Professional
The course will cover these key topics:
- Utilising data visualisation techniques and tools particularly R’s `ggplot` to explore patterns in datasets and to present them in an accessible manner appropriate for the intended audience and/or publications
- Visualizing univariate, bivariate and multivariate data through the widely used graphical techniques such as, scatterplots, histograms, density plots, barplots, and Tukey boxplots
- Introducing a range of less familiar plot types such as frequency polygons, area plots, line plots, uncertainty plots, violin plots, and geospatial mappings
- Modifying and refining plots styles and layouts by applying specific functionalities / controls like the limits and scales on axes, positions and nature of the axis ticks, colour palettes, and available ggplot themes
The course will take 6 contact hours per day plus two 2-hour breaks.
The sessions will be as follows:
- Session 1: 9:30am-11:30am;
- Session 2: 12:30am-2:30pm;
- Session 3: 3:30pm-17:30pm
Tutor Profile: Mark Andrews is an Associate Professor at Nottingham Trent University whose research and teaching is focused on statistical methodology in research in the social and biological sciences. He is the author of 2021 textbook on data science using R that is aimed at scientific researchers, and has a forthcoming new textbook on statistics and data science that is aimed at undergraduates in science courses. His background is in computational cognitive science and mathematical psychology.
Other available online CPD courses in this series include:
Any questions? Contact email@example.com, Commercial Manager, School of Social Sciences.
Personally, I found this an excellent course and enjoyed all of it. It was the right level; pace and I feel it has given me the confidence to use R independently going forward.