Kursinhalt
This course covers the following concepts:
Day 1: Module 1: Introduction and Overview of Amazon QuickSight
- Introducing Amazon QuickSight
- Why use Amazon QuickSight for data visualization
Module 2: Getting Started with Amazon QuickSight
- Interacting with Amazon QuickSight
- Loading data into Amazon QuickSight
- Visualizing data in Amazon QuickSight
- Demonstration: Walkthrough of Amazon QuickSight interface
- Practice Lab: Create your first dashboard
Module 3: Enhancing and Adding Interactivity to Your Dashboard
- Enhancing your dashboard
- Demonstration: Optimize the size, layout, and aesthetics of a dashboard
- Enhancing visualizations with interactivity
- Demonstration: Walkthrough of dashboard interactivity features
- Practice Lab: Enhancing your dashboard
Module 4: Preparing Datasets for Analysis
- Working with datasets
- Demonstration: Transform your datasets for analysis
- Practice Lab: Preparing data for analysis
Module 5: Performing Advanced Data Calculations
- Transform data using advanced calculations
- Practice Lab: Performing advanced data calculations
- Activity: Designing a Visual Analytics Solution
Day 2: Module 6: Overview of Amazon QuickSight Security and Access Control
- Overview of Amazon QuickSight security and access control
- Dataset access control in Amazon QuickSight
- Lab: Implementing access control in Amazon QuickSight visualizations
Module 7: Exploring machine learning capabilities
- Introducing Machine Learning (ML) insights
- Natural Language Query with QuickSight Q
- Demonstration: Using QuickSight Q
- Lab: Using machine learning for anomaly detection and forecasting
End of day challenge labs
- Join data sources together
- Create a dashboard
- Enhance the dashboard and add interactivity
- Perform advanced data calculations
- Integrate machine learning tools into the dashboard
WICHTIG: Bitte bringen Sie zu unseren Trainings Ihr Notebook (Windows, Linux oder Mac) mit. Wenn dies nicht möglich ist, nehmen Sie bitte mit uns vorher Kontakt auf.
Kursunterlagen sind auf Englisch, auf Wunsch auch auf Deutsch (wenn verfügbar).
Kurssprache ist deutsch, auf Wunsch auch auf Englisch.
