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Course Outline

Introduction

  • General overview of Amazon QuickSight
  • Key benefits and distinguishing features

Commencing with Amazon QuickSight

  • Exploring the QuickSight user interface
  • Establishing links to data sources
  • Ingesting and refining data sets
  • Creating fundamental data visualizations

Building Your Initial Dashboard

  • Principles of effective dashboard design
  • Choosing suitable visualization formats
  • Tailoring visual elements
  • Assembling a basic dashboard

Refining and Injecting Interactivity into Your Dashboard

  • Improving dashboards through interactive elements
  • Optimising layout structure and visual appeal
  • Incorporating dynamic features
  • Embedding interactivity into dashboard workflows

Executing Sophisticated Data Calculations

  • Advanced techniques for data transformation
  • Application of calculated fields and parameters
  • Complex data computation methods

QuickSight Security and Access Management

  • Survey of QuickSight security provisions
  • Managing access to datasets and visualizations
  • Configuring granular access controls

Harnessing Machine Learning Potential

  • Overview of QuickSight’s ML-driven insights
  • Querying data via natural language using QuickSight Q
  • Merging ML tools into dashboard interfaces

Requirements

  • Familiarity with foundational data visualization principles

Intended Audience

  • Data Analysts
  • Business Analysts
  • BI Developers
  • Data Engineers
 14 Hours

Testimonials (3)

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