Introduction

• Overview of AWS QuickSight
• What is AWS and QuickSight

Getting Started with AWS QuickSight

• Creating an AWS and QuickSight account
• Understanding the QuickSight workflow
• Navigating the QuickSight UI

Preparing Data in QuickSight

• Understanding data preparation in QuickSight
• SPICE vs. direct query
• Uploading and importing data to QuickSight
• Working with columns and fields
• Understanding calculated fields, functions, and operators
• Adding calculated fields using strings to our project
• Extracting information out of strings
• Using conditional functions
• Creating calculated fields with numeric values
• Adding different filters to a project

Analyzing and Visualizing Data

• Understanding the difference between preparing and analyzing data
• Creating the data analysis
• Creating visuals
• Understanding dimensions and measures
• Adding additional data sets
• Field formatting, aggregation, and granularity
• Formatting visuals
• Creating a story and treemap
• Using filters and tables
• Adding a KPI visual

Exporting and Sharing Project Data

• Understanding refresh and schedule refresh
• Exporting project data as .csv files
• Adding users to an account
• Sharing data set and analysis
• Creating and sharing dashboards

Using Databases as Data Sources

• Setting up a database
• Preparing dummy data
• Connecting QuickSight to a database
• Importing data into SPICE
• Importing data as a Query
• Importing calculated fields and query
• Using NoSQL databases