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In this course, you will build a data visualization solution using Amazon QuickSight. QuickSight allows everyone in your organization to understand your data by exploring through interactive dashboards, asking questions in natural language, or automatically looking for patterns and outliers powered by machine learning. This course focuses on connecting to data sources, building visuals, designing interactivity, andcreating calculations. You will learn how to apply security best practices to your analyses. You will also explore the machine learning capabilities built into QuickSight
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Course Contents
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- Module 1: Introduction and Overview of Amazon QuickSight
- Module 2: Getting Started with Amazon QuickSight
- Module 3: Enhancing and Adding Interactivity to Your Dashboard
- Module 4: Preparing Datasets for Analysis
- Module 5: Performing Advanced Data Calculations
- Activity: Designing a Visual Analytics Solution
- Module 6: Overview of Amazon QuickSight Security and Access Control
- Module 7: Exploring machine learning capabilities
- End of day challenge labs
This course includes presentations, demonstrations, group exercises, and practice and challenge labs.
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Target Group
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This course is intended for:
• Data and business analysts who build and manage business analytics dashboards -
Knowledge Prerequisites
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- Attendees should have a minimum of one-year experience in business intelligence or a similar function
- Completed the following course: Data Analytics Fundamentals
Important: Therefore, please bring your notebook to the course! If this is not possible, please contact us in advance.
-
Please note our overview AWS Trainings!
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 |
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 |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.

-
In this course, you will build a data visualization solution using Amazon QuickSight. QuickSight allows everyone in your organization to understand your data by exploring through interactive dashboards, asking questions in natural language, or automatically looking for patterns and outliers powered by machine learning. This course focuses on connecting to data sources, building visuals, designing interactivity, andcreating calculations. You will learn how to apply security best practices to your analyses. You will also explore the machine learning capabilities built into QuickSight
-
Course Contents
-
- Module 1: Introduction and Overview of Amazon QuickSight
- Module 2: Getting Started with Amazon QuickSight
- Module 3: Enhancing and Adding Interactivity to Your Dashboard
- Module 4: Preparing Datasets for Analysis
- Module 5: Performing Advanced Data Calculations
- Activity: Designing a Visual Analytics Solution
- Module 6: Overview of Amazon QuickSight Security and Access Control
- Module 7: Exploring machine learning capabilities
- End of day challenge labs
This course includes presentations, demonstrations, group exercises, and practice and challenge labs.
-
Target Group
-
This course is intended for:
• Data and business analysts who build and manage business analytics dashboards -
Knowledge Prerequisites
-
- Attendees should have a minimum of one-year experience in business intelligence or a similar function
- Completed the following course: Data Analytics Fundamentals
Important: Therefore, please bring your notebook to the course! If this is not possible, please contact us in advance.
-
Please note our overview AWS Trainings!
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 |
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 |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
