Amazon QuickSight For Beginners
This course is designed for those interested to learn the basics of Amazon Quicksight and be able to connect, prepare and analyze your data inside one of Amazon’s newest services.
About This CourseBeginner
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
Pricing And Editions
Workflow And Course Scenario
Section 2 - Creating Accounts And Managing Users
Creating An Amazon QuickSight Account
Creating An Enterprise Edition Account
Section 3 - Connecting Your Data Sources
Connecting Files And Athena As Data Sources
Connecting Databases As Data Sources
Refreshing Data Imported Into SPICE
On-premises And Private Databases
Section 4 - Preparing Your Data Sets
Using The Data Preparation Interface
Working with Calculated Fields
Working With Filters
Sharing Data Sets
Section 5 - Visualizing And Analyzing Your Data
Analyses, Dashboards And Stories
Using The Data Analysis Interface
Formatting Your Visuals
Additional Analysis Operations
Filters In Data Analysis
Using Tables, Tree Maps And Heat Maps
Using Scatter Plots, Geospatial Maps And KPIs
Creating And Using Dashboards
Creating And Viewing Stories
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