About This Course
Using data and analytics to drive decision-making ensures organizations stay competitive and efficient.
In this course, you’ll begin by learning how to create and manage a QuickSight account. From there, you’ll explore the steps required to connect your data sources, both on-premises and cloud-based, to the QuickSight service. Next, you’ll discover how to prepare data sets within the QuickSight interface using items like filters and calculated fields. Finally, you’ll master how to analyze data sets using the features and visualizations provided by one of the newest offerings of Amazon Web Services.
By the end of this course, you’ll evolve from someone who has never seen QuickSight to a pro capable of analyzing your own data to drive and inform critical decision-making.
This course teaches you how to connect, prepare and analyze your data inside one of Amazon’s newest services.
Some basic knowledge of Amazon Web Services is preferred before continuing.
We would also recommend being familiar with the data services available within the AWS catalog particularly if you’re comfortable or knowledgeable with RDS, Amazon’s relational database service, Redshift, Amazon’s cloud-based data warehouse solution, and Athena, Amazon’s serverless query service which allows you to query S3 data with SQL.
Our Promise to You
By the end of this course, you will have learned about Amazon Quicksight and be capable of analyzing your own data to drive and inform critical decision-making.
30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.
Get started today and learn more about the Amazon Quicksight.
|Section 1 - Introduction To Amazon QuickSight|
|What Is Amazon QuickSight||00:00:00|
|Pricing And Editions||00:00:00|
|Workflow And Course Scenario||00:00:00|
|Section 2 - Creating Accounts And Managing Users|
|Creating An Amazon QuickSight Account||00:00:00|
|Creating An Enterprise Edition Account||00:00:00|
|Section 3 - Connecting Your Data Sources|
|Connecting Files And Athena As Data Sources||00:00:00|
|Connecting Databases As Data Sources||00:00:00|
|Refreshing Data Imported Into SPICE||00:00:00|
|On-premises And Private Databases||00:00:00|
|Section 4 - Preparing Your Data Sets|
|Using The Data Preparation Interface||00:00:00|
|Working with Calculated Fields||00:00:00|
|Working With Filters||00:00:00|
|Sharing Data Sets||00:00:00|
|Section 5 - Visualizing And Analyzing Your Data|
|Analyses, Dashboards And Stories||00:00:00|
|Using The Data Analysis Interface||00:00:00|
|Formatting Your Visuals||00:00:00|
|Additional Analysis Operations||00:00:00|
|Filters In Data Analysis||00:00:00|
|Using Tables, Tree Maps And Heat Maps||00:00:00|
|Using Scatter Plots, Geospatial Maps And KPIs||00:00:00|
|Creating And Using Dashboards||00:00:00|
|Creating And Viewing Stories||00:00:00|