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Amazon QuickSight: Complete Introduction to BI Dashboards (Udemy.com)

Load, analyze and visualize your data in Amazon QuickSight, then publish interactive dashboards your team can use

Created by: Ian Littlejohn

Last updated September 2026

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What you will 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

How it compares

Against the other 459 rated Udemy courses in Office Productivity on CourseDuck:

  • Rating4.6 out of 5higher than 67% of them
  • Reviews4,166#47 of 460 by number of reviews
  • Length5.5 hourslonger than 60% of them
  • Last updatedSeptember 2026more recently than 91% of them

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Course Description

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.

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Instructor Details

Ian Littlejohn

I specialise in training business users to learn powerful methods and techniques to transform data into useful information and intelligence as well as learning strong data analysis methodology.


I completed my university degree in economics and emerged keen and eager to change the world. I spent the first half of my career working for multinational companies, on projects of various sizes, in different sectors, all revolving around analysing data of some sort and working with different software products, including Microsoft Excel.


I found that so many Excel users had a very basic understanding of how Excel works, and instead of using Excel to do the work for them, were doing all the work themselves, using old spreadsheet technology like macros instead of embracing technology like Pivot Tables. Pivot Tables were actually introduced into Excel in 1994 but many Excel users have avoided using them because they seem complicated and difficult to use.


In 2008 I decided to start my own training company and this was borne out of the passion I had to teach Excel users how to work smarter, not harder. As technology evolved, and new systems developed, I continuously expanded my training to include Power BI, Amazon QuickSight, Looker Studio, and most recently Copilot in Excel and Microsoft 365 Copilot.


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Reviews

4.6

4,166 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Alicio Valle on 11/18/2025

Instruction is great but a lot of the UI for Quick Sights has changed since this content was created. Instructor may want to update content or at least show how to switch back to the old UI for new users. I appreciate how the instructor picks up each lesson from where the last one left off.

By Eric Pharand on 7/2/2025

There's a lot to unpack with QuickSight. We have a particular use-case around using it to analyze our AWS billing, costs, usage, etc. but going in to QuickSight with no real working knowledge and expecting to be able to tackle those scenarios out of the box is impossible. The bottom up approach using simple Excel sales data to demonstrate the possibilities helped me tremendously!

By Roger Knutson on 6/9/2025

This was the easiest to follow introductory course I've taken on any learning platform. Great instructions, and really rounded out the beginner skillset needed. I didn't do much of the practical work since I'm already doing things in QS for my job, but knowing how stuff work around the things I've been using is tremendously helpful.

By Udemy User on 2/26/2025

Well structured course with concrete practical and useful examples. Could be followed by people with no programming knowledge, although for approx 5% of course they were needed. Personally for me, structured in such a way, this course saved me a lot of time to learn the same topics by myself, which is the biggest value.

By Terrence Tolentino on 8/12/2024

This course is perfect for complete freshers. The examples and practical activities are very easy to follow and there was nothing complicated. After this course, you get comfortable with the platform and you feel confident to start doing dashboards! Great course.

By Dagart Allison on 5/9/2024

This is a great overview of Quicksight. It was not extremely in-depth, because you only build a few dashboards. But he does talk about most of the features. Only thing would be if he used all of the different types of plots in dashboards so full application based knowledge can be experienced.

By Anonymized User on 7/7/2023

The lecture is so great. I learned the basics well. I wish there was a guide/bonus lecture to help you learn with the changed UI. Also, I would like to learn more advanced features. I would appreciate it if you could tell me a possible method or know-how or the other lectures...

By Sheri Carter on 3/19/2023

It's more than what I need to know as a Scrum Master. I think there should be a basic course that's more high level and doesn't drill down into all of the details and various ways to create visuals. Start with basic functions in an Intro Class then build on it in an intermediate class showing more details and options

By Anonymized User on 12/13/2021

I'm not new to BI tools and data science peripherals, but I'm definitely new to QuickSight. Ian delivers this course as he describes, and it meets my expectation! I'm able to get familiar with QuickSight without wasting too much time, while I'm racing against time for my recent project. His explanation is very easy to understand. Ian covers almost every fundamental aspect you need to know about QuickSight. This may sound exaggregating, but I get my muscle memory on QuickSight just by following along with what Ian did repeatedly throughout the course :)

By Michelle Finazzo on 9/15/2020

I just love how easy it is to follow along with everything being presented. My favorite part is that the exercises have the answers so you can see immediately if you have the right answer and then the demos of the exercises right after to see if you performed the exercise correctly.

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Overall Score : 92 / 100