Course Outline
Introduction
- Overview of Amazon QuickSight
- Key benefits and features
Getting Started with Amazon QuickSight
- Navigating the QuickSight interface
- Connecting to data sources
- Loading and preparing data
- Creating basic data visualizations
Building Your First Dashboard
- Principles of dashboard design
- Choosing the right visualization types
- Customizing visual elements
- Assembling a simple dashboard
Adding Interactivity and Enhancements
- Incorporating interactivity into dashboards
- Refining layout and visual appeal
- Leveraging interactive features
- Implementing dynamic dashboard elements
Advanced Data Calculations
- Advanced data transformation methods
- Working with calculated fields and parameters
- Performing complex data calculations
QuickSight Security and Access Control
- Overview of security features in QuickSight
- Managing access to datasets and visualizations
- Configuring access permissions
Using Machine Learning Capabilities
- Introduction to QuickSight’s ML insights
- Running natural language queries with QuickSight Q
- Integrating ML tools into dashboards
Requirements
- Familiarity with fundamental data visualization concepts
Target Audience
- Data analysts
- Business analysts
- BI developers
- Data engineers
Testimonials (4)
That it was very practical.
Alfonso Ramos - Banco de Mexico
Course - Fundamentos de Integración de Datos Pentaho
Machine Translated
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
he was well prepared - and he is very sympathetic
Oliver - Post CH AG
Course - Splunk Fundamentals
lots of pratical exercises