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AWS Authorized Training Course - Authoring Visual Analytics Using Amazon QuickSight

Course Summary

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.

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

  • Completed Data Analytics Fundamentals

THIS COURSE IS NOT ELIGIBLE FOR TRAINING BUNDLES

Purpose
Build a data visualization solution using Amazon QuickSight
Audience
Data and business analysts who build and manage business analytics dashboards
Role
Data Analyst | Business Analyst
Skill level
Advanced
Style
Lecture | Hands-on Activities | Labs
Duration
2 days
Related technologies
Machine Learning

 

Learning objectives
  • Explain the benefits, use cases, and key features of Amazon QuickSight
  • 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
  • Explain the benefits and key features of QuickSight Q to enhance the dashboard user experience

What you'll learn:

In this Authoring Visual Analytics Using Amazon QuickSight course, you'll learn:

Module 1: Introduction and Overview of Amazon QuickSight

  • Introducing Amazon QuickSight
  • Why use Amazon QuickSight for data visualization

Module 2: Getting Started with Amazon QuickSight

  • 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

Module 3: Enhancing and Adding Interactivity to Your 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

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 visualizations

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 

AWS Authorized Training Course - Authoring Visual Analytics Using Amazon QuickSight

real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
fully customized

Tailored Outlines

Once-size-fits-all doesn't apply to training teams. That's where we come in!

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