QuickSight beginners
You’ve never used Amazon QuickSight (or never even heard of it) and want a guided, low-friction way to get oriented and start producing real analyses quickly.
Amazon (AWS) QuickSight - Getting Started
Get started with Amazon QuickSight - AWS' Business Intelligence (BI) answer to Tableau and Power BI
Course Overview
About This Course
You’ve tried a few BI tools, but you’re still missing that “this actually fits” feeling—especially when your data lives across cloud services and you just want answers fast. If you’re curious about Amazon QuickSight, it can be hard to know where to start and what the workflow really looks like.
In this course, you’ll get a clear first overview of Amazon QuickSight and how it sits inside AWS. You’ll follow the real QuickSight workflow—connecting data, shaping it, and turning it into visuals—so you’re not just clicking around, you’re building confidence with the tool’s core functions.
By the end, you’ll be able to connect QuickSight to multiple data sources (inside and outside AWS), create your own analyses, and present results in a way others can actually use. You’ll also know how to share what you build, manage users, and even access your work from the iOS app when you’re away from your desk.
What You'll Learn
You’ll cover the end-to-end QuickSight workflow: from connecting data sources to sharing dashboards, stories, and results across your organization and beyond.
Navigate QuickSight confidently
Work comfortably with QuickSight’s main functions and understand how the tool is positioned within AWS, so you can choose it intentionally for cloud-based analytics and visualization.
Connect diverse data sources
Set up connections to data sources within AWS and outside of it, so your analyses can pull from the systems you already use instead of forcing a single-source setup.
Prepare data for analysis
Shape your datasets directly in QuickSight by adding filters and creating calculated fields, so your visuals reflect the metrics and slices your stakeholders actually ask for.
Build multi-visual analyses
Create an analysis by combining multiple visuals, letting you explore patterns from different angles and move from a single chart to a coherent analytical view.
Publish dashboards and stories
Turn your analysis into dashboards and stories that communicate results clearly, so your work is ready for consumption—not just exploration.
Share and manage access
Share your results with people inside and outside your organization, understand QuickSight user management, and use the iOS mobile app to access insights on the go.
Ready to get started?
See enrollment optionsPrerequisites
A credit card is required to create an AWS account.
A basic understanding of data analysis is helpful, but not required.
Who Is This Course For?
BI tool explorers
You’ve worked with other Business Intelligence tools, but you want to evaluate a cloud-based option and see how QuickSight feels for day-to-day analysis and visualization.
AWS practitioners
You already spend time in the AWS ecosystem and want a practical next step: analyzing and visualizing data using a service that’s built to integrate with AWS.
Curriculum Overview
Start NowPreview the structure and pacing of this course before you begin.
Getting Started34m
- 01Welcome to This Course2:14 min
- 02What is QuickSight?3:50 min
- 03Join our Online Learning Community0:00 min
- 04What is AWS?2:36 min
- 05[OPTIONAL] AWS – A Closer Look0:00 min
- 06Let's Start: Creating our AWS and QuickSight Accounts8:15 min
- 07Starting Our First Project8:05 min
- 08Creating our First Visual8:03 min
- 09Course Outline1:40 min
- 10The Academind Pro Referral Program0:00 min
QuickSight - Starting with the Basics17m
- 01The Development of QuickSight2:18 min
- 02Understanding the Workflow2:39 min
- 03Looking at the Interface6:22 min
- 04SPICE - What it that actually?3:44 min
- 05Pricing and Editions of QuickSight2:40 min
Preparing our Data1h 43m
- 01Module Introduction1:49 min
- 02Before we Start: Understanding Data Preparation in QuickSight3:55 min
- 03Loading Data: SPICE vs. Direct Query3:53 min
- 04Introducing AWS S36:13 min
- 05Uploading Data and Importing Data to QuickSight12:47 min
- 06A Closer Look at the Interface6:49 min
- 07Working with Columns and Fields6:38 min
- 08Taking a First Look at Calculated Fields5:04 min
- 09Understanding Functions and Operators4:03 min
- 10Adding Calculated Fields using Strings to our Project11:11 min
- 11Extracting Information out of Strings2:43 min
- 12Working with Conditional Functions8:24 min
- 13Another Look at the IF-Function4:04 min
- 14Creating Calculated Fields with Numeric Values3:11 min
- 15Adding Different Filters to our Project6:08 min
- 16A Little Helper: Dealing with Skipped Rows2:49 min
- 17Module Summary1:32 min
- 18Assignment: Basics (Problem)10:59 min
- 19Assignment: Basics (Solution)1:33 min
Analyzing and Visualizing our Data1h 38m
- 01Module Introduction1:07 min
- 02Preparing Data vs. Analyzing Data - Understanding the Differences2:36 min
- 03Creating the Analysis2:50 min
- 04Understanding the Interface and Creating our First Visual9:08 min
- 05Understanding Dimensions and Measures2:55 min
- 06Adding Additional Data Sets to our Analysis9:07 min
- 07Understanding Field Formatting, Aggregation and Granularity5:25 min
- 08Formatting our Visuals6:04 min
- 09Adding Drill-Down3:28 min
- 10Creating our First Story3:57 min
- 11Creating a Treemap1:43 min
- 12Applying Filters13:09 min
- 13Understanding Pivot Tables11:17 min
- 14Continuing our Story1:26 min
- 15Understanding Heat Maps2:35 min
- 16Adding a KPI visual8:02 min
- 17Adding the Final Scene to our Story1:07 min
- 18Module Summary1:17 min
- 19Assignment: Visualizations (Problem)1:03 min
- 20Assignment: Visualizations (Solution)10:18 min
Refreshing, Exporting and Sharing our Project Data47m
- 01Module Introduction1:08 min
- 02Our Ways to Continue1:37 min
- 03Understanding Refresh and Schedule Refresh6:42 min
- 04Exporting our Project Data as .csv Files1:44 min
- 05Adding Users to our Account - Some Theory4:02 min
- 06AWS - More about IAM (Optional)0:00 min
- 07Adding a User to our Account - Continuing with the Project8:07 min
- 08Sharing our Data Set4:44 min
- 09Sharing our Analysis4:59 min
- 10Creating and Sharing Dashboards4:27 min
- 11Managing Capacity and Understanding Subscriptions5:55 min
- 12Taking a Quick Look at the Mobile App1:59 min
- 13Module Summary1:37 min
Databases as Data Sources37m
- 01Module Introduction0:54 min
- 02Setting up a Database (Optional)6:04 min
- 03More Information about AWS RDS0:00 min
- 04Preparing Dummy Data (Optional)4:28 min
- 05Connecting Quicksight to a Database8:32 min
- 06More Resources about Connecting Quicksight to Databases0:00 min
- 07Importing Data into SPICE5:42 min
- 08Importing Data as a Query5:58 min
- 09Calculated Fields & Query Imports2:02 min
- 10What about NoSQL Databases?1:35 min
- 11Wrap Up1:53 min
Course Roundup1m
- 01Roundup1:58 min
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