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Authoring Visual Analytics using Amazon QuickSight

SS Course: 65857

Course Overview

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In this course, you will build a data visualization solution using Amazon QuickSight. QuickSight allows everyone in your organization 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.                                                                  

Scheduled Classes

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08/08/24 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
08/15/24 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
10/17/24 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
12/12/24 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)

What You'll Learn

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Explain the benefits, use cases, and key features of Amazon QuickSight
  • Explain the benefits and key features of QuickSight Q to enhance the dashboard user experience
  • Design, create, and customize QuickSight dashboards to visualize data and extract business insights from it
  • Select and configure appropriate visualization 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

Outline

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Viewing outline for:
ntroducing Amazon QuickSight
  • Why use Amazon QuickSight for data visualization
  • Interacting with Amazon QuickSight
  • Loading data into Amazon QuickSight
  • Visualizing data in Amazon QuickSight
  • Demonstration: Walkthrough of Amazon QuickSight interface
  • Practice Lab: Create your first dashboard
  • Enhancing your dashboard
  • Demonstration: Optimize the size, layout, and aesthetics of a dashboard
  • Enhancing visualizations with interactivity
  • Demonstration: Walkthrough of dashboard interactivity features
  • Practice Lab: Enhancing your dashboard
  • Working with datasets
  • Demonstration: Transform your datasets for analysis
  • Practice Lab: Preparing data for analysis
  • Transform data using advanced calculations
  • Practice Lab: Performing advanced data calculations
  • Overview of Amazon QuickSight security and access control
  • Dataset access control in Amazon QuickSight
  • Lab: Implementing access control in Amazon QuickSight visualizations
  • Introducing Machine Learning (ML) insights
  • Natural Language Query with QuickSight Q
  • Demonstration: Using QuickSight Q
  • Lab: Using machine learning for anomaly detection and forecasting
  • Join data sources together
  • Create a dashboard
  • Enhance the dashboard and add interactivity
  • Perform advanced data calculations
  • Integrate machine learning tools into the dashboard

Prerequisites

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Completed Data Analytics Fundamentals
  • Students with a minimum one-year experience authoring visual analytics will benefit from this course. We recommend that attendees of this course have:

    Who Should Attend

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    Data and business analysts who build and manage business analytics dashboards

      Next Step Courses

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