Visualizing Data on AWS
Course info



Course info



Description
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.
Section Introduction Transcripts
Course Overview
Hello, everyone. My name is Mohammed Osman, and welcome to my course, Visualising Data on AWS. I am a software developer and a machine learning enthusiast at Smarter Code. A picture is worth 1,000 words is an English proverb that tells us how much powerful data visualization is. With data visualization, we can easily grasp tremendous datasets, find outliers and interesting patterns, and even communicate our findings to executive audience. In this course, we are going to follow a hands‑on approach to learn about how to visualize our data using AWS QuickSight, a very handy and easy‑to‑use tool by Amazon. Some of the major topics that we will cover include what is AWS QuickSight and its benefits, how to connect and load our dataset to AWS QuickSight, and how to create different visualizations using AWS QuickSight. By the end of this course, you will know how to load and visualize your data using AWS QuickSight. I hope you will join me on this journey to learn about data visualization with Visualizing Data on AWS here, at Pluralsight.