What you'll learn:
- Load your own data into Amazon QuickSight and prepare it for analysis, including relationships between tables
- Build tables and pivot tables, and choose the aggregation that answers the question you are asking
- Create table calculations for percentages, running totals, rankings and difference-from comparisons
- Track performance with KPI visuals and surface exceptions automatically with conditional formatting
- Choose the right chart for the question - line, area, column, bar, pie and the specialist visuals
- Control what your audience sees using text, numeric and date filters, controls, parameters and actions
- Create calculated columns and measures using IFELSE, date functions and SUMIF
- Build a dashboard, apply a theme, and publish and share it with the people who need it
- Practise in every section with a practical activity and a completed walkthrough, using downloadable training data
This course contains the use of artificial intelligence.
Every lesson in this course is written, created and recorded by me. AI is used only to help produce supporting images and written materials around the lessons.
Which product sold best last quarter, and is that still true this month? Which region is slipping? Where is the margin actually coming from?
Those are the questions your business asks. Amazon QuickSight is where you answer them - a cloud-based business intelligence service that connects to the data your organization already holds and turns it into analyses, reports and dashboards other people can use, with nothing to install.
This course takes you from an empty QuickSight account to a published, shared dashboard built from your own data. You will:
Load your own data and prepare it for analysis, including relationships between tables
Build tables and pivot tables, and choose the aggregation that answers the question you are asking
Write table calculations for percentages, running totals, rankings and difference-from comparisons
Track performance with KPI visuals and surface exceptions with conditional formatting
Choose the right chart for the question - line, area, column, bar, pie and the specialist visuals
Control what your audience sees with filters, controls, parameters and actions
Create calculated columns and measures using IFELSE, date functions and SUMIF
Build a dashboard, apply a theme, and publish and share it with the people who need it
Every section has a practical activity with a completed walkthrough, and the training data files download in the first lesson, so you are building in QuickSight within the first few minutes rather than watching someone else do it.
I teach the analysis, not the tool. Every topic starts with a business question a manager actually asks, then shows you how to answer it. That is why what you learn here transfers - the QuickSight buttons are the easy part.
More than 16,000 students have taken this course and rated it 4.6 from over 4,000 ratings.
A NOTE ON THE NAME
In October 2025 AWS reorganized QuickSight into Amazon Quick Suite. The features you use in this course now sit under "Quick Sight" in the navigation pane. Nothing you learn here changes - your analyses, datasets and dashboards, the URLs and the permissions all work exactly as before - but the home page and the left-hand navigation are shown as they look today.
AWS also added generative AI features alongside it, Amazon Q and Quick chat. This course does not cover them, and that is deliberate. They need an Author Pro license and an account-level fee that an organization buys rather than an individual, so most learners cannot switch them on even if they want to.
I teach the analysis that works on the license you actually have - and if your organization does turn Amazon Q on, you will get far more out of it for understanding the data model underneath.
ABOUT THE TRAINER
I have been training business people to work with data since 2008, and publishing on Udemy since 2013. I now have 16 live courses, more than 400,000 students and more than 139,000 reviews, at an average rating of 4.6.
My work is with business users rather than engineers. I teach the analysis - the question you are trying to answer and how to get to it - using the tools people already have: Microsoft Excel, Copilot in Excel, Microsoft Power BI, Looker Studio and Amazon QuickSight.
By the end of this course you will have a QuickSight dashboard you built yourself, from data you loaded yourself, that you can share with your team. The training data files are waiting in the first section. Let's get started.
