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Course Outline

Introduction

  • Amazon QuickSight: An Overview
  • Key Features and Organizational Benefits

Initiating Use of Amazon QuickSight

  • Navigating the QuickSight User Interface
  • Establishing Connections to Data Sources
  • Data Loading and Preparation Processes
  • Fundamentals of Data Visualization

Developing Initial Dashboards for Government Use

  • Principles of Effective Dashboard Design
  • Selecting Appropriate Visualization Types
  • Customizing Visual Elements
  • Constructing a Basic Dashboard

Increasing Dashboard Interactivity and Functionality

  • Incorporating Interactive Elements
  • O optimizing Layout and Presentation Aesthetics
  • Interactive Feature Configuration
  • Implementing User Engagement Tools

Executing Advanced Data Calculations

  • Techniques for Advanced Data Transformation
  • Utilizing Calculated Fields and Parameters
  • Performing Complex Analytical Calculations

Security Protocols and Access Management in QuickSight

  • Overview of Security Frameworks within QuickSight
  • Enforcing Access Controls for Datasets and Visualizations
  • Configuration of Access Management Policies

Utilizing Machine Learning Insights for Government Analysis

  • Introduction to Native ML Capabilities in QuickSight
  • Employing Natural Language Queries via QuickSight Q
  • Integrating Machine Learning Tools into Analytical Dashboards

Conclusion and Future Development Paths

Requirements

  • Fundamental knowledge of data visualization principles is required.

Target Audience

  • Data analysts
  • Business analysts
  • Business Intelligence (BI) developers
  • Data engineers

This training is designed for government professionals seeking to enhance their analytical capabilities through structured learning on data visualization.

 14 Hours

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Price per participant

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