Welcome & First Steps
  • Welcome to This Course
  • What is QuickSight?
  • What is AWS?
  • Join our Online Learning Community
  • AWS – A Closer Look (Optional)
  • Let's Start: Creating our AWS and QuickSight Accounts
  • Starting Our First Project
  • Creating our First Visual
  • Course Outline
QuickSight - Starting with the Basics
  • The Development of QuickSight
  • Understanding the Workflow
  • Looking at the Interface
  • SPICE - What it that actually?
  • Pricing and Editions of QuickSight
Preparing our Data
  • Module Introduction
  • Before we Start: Understanding Data Preparation in QuickSight
  • Loading Data: SPICE vs. Direct Query
  • Introducing AWS S3
  • Uploading Data and Importing Data to QuickSight
  • A Closer Look at the Interface
  • Working with Columns and Fields
  • Taking a First Look at Calculated Fields
  • Understanding Functions and Operators
  • Adding Calculated Fields using Strings to our Project
  • Extracting Information out of Strings
  • Working with Conditional Functions
  • Another Look at the IF-Function
  • Creating Calculated Fields with Numeric Values
  • Adding Different Filters to our Project
  • A Little Helper: Dealing with Skipped Rows
  • Module Summary
  • Time to Practice: Data Preparation
Analyzing and Visualizing our Data
  • Module Introduction
  • Preparing Data vs. Analyzing Data - Understanding the Differences
  • Creating the Analysis
  • Understanding the Interface and Creating our First Visual
  • Understanding Dimensions and Measures
  • Adding Additional Data Sets to our Analysis
  • Understanding Field Formatting, Aggregation and Granularity
  • Formatting our Visuals
  • Adding Drill-Down
  • Creating our First Story
  • Creating a Treemap
  • Applying Filters
  • Understanding Pivot Tables
  • Continuing our Story
  • Understanding Heat Maps
  • Adding a KPI visual
  • Adding the Final Scene to our Story
  • Module Summary
  • Time to Practice: Analysis and Visualization
Refreshing, Exporting and Sharing our Project Data
  • Module Introduction
  • Our Ways to Continue
  • Understanding Refresh and Schedule Refresh
  • Exporting our Project Data as .csv Files
  • Adding Users to our Account - Some Theory
  • AWS - More about IAM (Optional)
  • Adding a User to our Account - Continuing with the Project
  • Sharing our Data Set
  • Sharing our Analysis
  • Creating and Sharing Dashboards
  • Managing Capacity and Understanding Subscriptions
  • Taking a Quick Look at the Mobile App
  • Module Summary
Databases as Data Sources
  • Module Introduction
  • Setting up a Database (Optional)
  • More Information about AWS RDS
  • Preparing Dummy Data (Optional)
  • Connecting Quicksight to a Database
  • More Resources about Connecting Quicksight to Databases
  • Importing Data into SPICE
  • Importing Data as a Query
  • Calculated Fields & Query Imports
  • What about NoSQL Databases?
  • Wrap Up
Course Roundup
  • Congratulations