Course Summary
This Lesson explores how to interpret your data allowing you to effectively decide which chart type you should use to visualize and convey your data analytics. Using the correct visualization techniques allows you to gain the most from your data. In this Lesson, we will look at the importance of data visualization, and then move onto the relationships, comparisons, distribution, and composition of data.
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Learning Objectives
- Get an overview of what data visualization is and why it's important
- Learn how to visualize relationships within data
- Learn about comparisons, distribution, and composition of data
Intended Audience
This Lesson has been designed for those who work with big data or data analytics who need to interpret data results in an effective way.
Prerequisites
As a prerequisite to this Lesson, you should have a very basic understanding of the terminology used in relation to tables and graphs
Stuart has been working within the IT industry for two decades covering a huge range of topic areas and technologies, from data center and network infrastructure design, to cloud architecture and implementation.
To date, Stuart has created 250+ courses relating to cloud computing reaching over 1 million+ students.
Stuart is a member of the AWS Community Builders Program for his contributions towards AWS.
He is AWS certified and accredited in addition to being a published author covering topics across the AWS landscape.
Stuart enjoys writing about cloud technologies and you will find many of his articles within our blog pages.