Visualizing Data on AWS
Data visualization is an important step for professionals who want to make sense of data for machine learning purposes or even presenting meaningful data to an audience. In this course you will see how to do data visualization using AWS QuickSight.
What you'll learn
Data visualization is a necessary task for any business professional trying to make sense of numbers, data scientists trying to identify an underlying relationship, or even a C-level executive who wants to visualize rigid reported figures. In this course, Visualizing Data on AWS, you’ll learn how to visualize and quickly make sense of your data. First, you’ll explore the basics of AWS QuickSight. Next, you’ll discover the core components that form AWS QuickSight. Finally, you’ll learn how to visualize your data using different chart types. When you’re finished with this course, you’ll have the skills and knowledge of data visualization needed to perform data visualization.
Table of contents
- Overview 0m
- Demo: Loading Dataset 4m
- Demo: Bar Chart 2m
- Demo: Scatter Plot 1m
- Demo: Bubble Chart 2m
- Demo: Line Chart 1m
- Demo: Pie and Donut Charts 2m
- Demo: HeatMap 1m
- Demo: TreeMaps 1m
- Demo: KPI And Gauge 1m
- Demo: Area Charts 1m
- Demo: Table 1m
- Demo: Pivot Table 2m
- Demo: Making Things Prettier 2m
- Summary 1m
About the author
Mohammed Osman is a senior software engineer who started coding at the age of 13. Mohammed worked in various industries, including telecommunication, accounting, banking, health, and assurance. Mohammed's core skillset is a .NET ecosystem with a strong focus on C#, Azure, and Data Science. Mohammed also enjoys the soft-side of software engineering and leads scrum teams. Mohammed runs a blog with the message "Making your code smart and your career smarter." He shares tips and techniques to improve your code and valuable career pieces of advice in his blog.
