Building Visualizations with MATLAB
This course aims to build and solidify your understanding of what data visualization is, why it is important, and eventually, how to build visualizations and customise them from your own datasets using MATLAB.
What you'll learn
There has been an explosion of data and abundance of data sources post-2010. If you’re a data analyst or are involved in data-driven decision making for your organization, understanding the data you’re provided with or obtained becomes crucial.
In this course, Building Visualizations with MATLAB, you'll focus on a key component in understanding your data - data visualization - and MATLAB has plenty of options to do just that.
First, you’ll start off with what data visualization is and why you need it. Next, you’ll see what univariate and bivariate visualizations are and how they could influence decision making in a business case scenario.
Finally, you’ll learn how to customize the visualizations you created before by adding and manipulating elements like titles, grids, subplots etc.
When you're finished with this course, you'll be able to produce and customize visualizations from any given dataset through MATLAB.
Table of contents
- Version Check 0m
- Course Overview and Module Introduction 1m
- What Is Data Visualization? Why Is It Important? 3m
- Univariate Data Visualizations 2m
- Bivariate and Multivariate Data Visualizations 3m
- Demo: Building Data Visualizations - Introduction to the Dataset 2m
- Demo: Building Univariate Data Visualizations 6m
- Demo: Building Bivariate Data Visualizations 6m
- Module Summary 1m
About the author
Pratheerth is a Data Scientist who has entered the field after an eclectic mix of educational and work experiences. He has a Bachelor's in Engineering in Mechatronics from India, Masters in Engineering Management from Australia and then a couple of years of work experience as a Production Engineer in the Middle East. Then when the A.I bug bit him, he dropped everything to dedicate his life to the field. He is currently working on mentoring, course creation and freelancing as a Data Scientist.