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 Duration 14 hours

Course Outline

Introduction

  • Overview of AWS QuickSight
  • Defining AWS and QuickSight

Getting Started with AWS QuickSight

  • Setting up AWS and QuickSight accounts
  • Comprehending the QuickSight workflow
  • Navigating the QuickSight user interface

Data Preparation in QuickSight

  • Grasping data preparation processes in QuickSight
  • SPICE vs. direct query methodologies
  • Uploading and importing data into QuickSight
  • Managing columns and fields
  • Understanding calculated fields, functions, and operators
  • Incorporating string-based calculated fields into projects
  • Extracting data from strings
  • Applying conditional functions
  • Generating calculated fields with numeric values
  • Applying various filters to projects

Data Analysis and Visualization

  • Distinguishing between data preparation and analysis
  • Constructing data analyses
  • Developing visual elements
  • Differentiating between dimensions and measures
  • Integrating additional data sets
  • Field formatting, aggregation, and granularity
  • Styling visuals
  • Building stories and treemaps
  • Utilizing filters and tables
  • Including KPI visuals

Exporting and Sharing Project Data

  • Understanding refresh schedules
  • Exporting project data as .csv files
  • Adding users to the account
  • Sharing data sets and analyses
  • Creating and distributing dashboards

Utilizing Databases as Data Sources

  • Configuring databases
  • Preparing test data
  • Connecting QuickSight to database sources
  • Importing data into SPICE
  • Importing data via queries
  • Importing calculated fields and queries
  • Working with NoSQL databases

Summary and Next Steps

Requirements

  • Fundamental understanding and knowledge of data analysis

Audience

  • Data analysts
  • Professionals interested in data analysis and visualization

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