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Authoring Visual Analytics Using Amazon QuickSight

  • Length 2 days
Course overview
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Why study this course

In this course, you will build a data visualisation solution using Amazon QuickSight. QuickSight allows everyone in your organisation to understand your data by exploring through interactive dashboards, asking questions in natural language, or automatically looking for patterns and outliers powered by machine learning.

This course focuses on connecting to data sources, building visuals, designing interactivity, and creating calculations. You will learn how to apply security best practices to your analyses. You will also explore the machine learning capabilities built into QuickSight.

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What you’ll learn

This course is designed to teach participants how to:

  • Explain the benefits, use cases, and key features of Amazon QuickSight

  • Design, create, and customise QuickSight dashboards to visualise data and extract business insights from it

  • Select and configure appropriate visualisation types to identify, explore, and drill down on business insights

  • Describe how to use one-click embed to incorporate analytics into applications

  • Connect, transform, and prepare data for dashboarding consumption

  • Perform advanced data calculations on QuickSight analyses

  • Describe the security mechanisms available for Amazon QuickSight

  • Apply fine-grained access control to a dataset

  • Implement machine learning on data sets for anomaly detection and forecasting

  • Explain the benefits and key features of QuickSight Q to enhance the dashboard user experience

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AWS at Lumify Work

Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.

Who is the course for?

This course is intended for:

  • Data and business analysts who build and manage business analytics dashboards

Course subjects

Module 1: Introduction and Overview of Amazon QuickSight

  • Introducing Amazon QuickSight

  • Why use Amazon QuickSight for data visualisation

Module 2: Getting Started with Amazon QuickSight

  • Interacting with Amazon QuickSight

  • Loading data into Amazon QuickSight

  • Visualising data in Amazon QuickSight

  • Demonstration: Walkthrough of Amazon QuickSight interface

  • Practice Lab: Create your first dashboard

Module 3: Enhancing and Adding Interactivity to Your Dashboard

  • Enhancing your dashboard

  • Demonstration: Optimise the size, layout, and aesthetics of a dashboard

  • Enhancing visualisations with interactivity

  • Demonstration: Walkthrough of dashboard interactivity features

  • Practice Lab: Enhancing your dashboard

Module 4: Preparing Datasets for Analysis

  • Working with datasets

  • Demonstration: Transform your datasets for analysis

  • Practice Lab: Preparing data for analysis

Module 5: Performing Advanced Data Calculations

  • Transform data using advanced calculations

  • Practice Lab: Performing advanced data calculations

Activity: Designing a Visual Analytics Solution

Module 6: Overview of Amazon QuickSight Security and Access Control

  • Overview of Amazon QuickSight security and access control

  • Dataset access control in Amazon QuickSight

  • Lab: Implementing access control in Amazon QuickSight visualisations

Module 7: Exploring machine learning capabilities

  • Introducing Machine Learning (ML) insights

  • Natural Language Query with QuickSight Q

  • Demonstration: Using QuickSight Q

  • Lab: Using machine learning for anomaly detection and forecasting

End of day challenge labs

  • Join data sources together

  • Create a dashboard

  • Enhance the dashboard and add interactivity

  • Perform advanced data calculations

  • Integrate machine learning tools into the dashboard

Please note: This is an emerging technology course. Course outline is subject to change as needed.


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.

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