Authoring Visual Analytics Using Amazon QuickSight

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, and creating 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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Nehmen Sie an einem unserer Standorte Frankfurt, München und Wien oder virtuell an unseren Klassenraumtrainings teil. Unter „Termin buchen“ werden Ihnen alle Optionen angezeigt, zuerst sortiert nach Standort, dann nach Datum.

Dauer

Trainingssprache

Deutsch

Trainingsart

Nicht verfügbar

Was werden Sie in diesem Training erlernen?

1. Explain the benefits, use cases, and key features of Amazon QuickSight 2. Design, create, and customize QuickSight dashboards to visualize data and extract business insights from it 3. Select and configure appropriate visualization types to identify, explore, and drill down on business insights 4. Describe how to use one-click embed to incorporate analytics into applications 5. Connect, transform, and prepare data for dashboarding consumption 6. Perform advanced data calculations on QuickSight analyses 7. Describe the security mechanisms available for Amazon QuickSight 8. Apply fine-grained access control to a dataset 9. Implement machine learning on data sets for anomaly detection and forecasting 10. Explain the benefits and key features of QuickSight Q to enhance the dashboard user experience

Agenda

Introduction and Overview of Amazon QuickSight

Introducing Amazon QuickSight

Why use Amazon QuickSight for data visualization

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

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

Preparing Datasets for Analysis

Working with datasets

Demonstration: Transform your datasets for analysis

Practice Lab: Preparing data for analysis

Performing Advanced Data Calculations

Transform data using advanced calculations

Practice Lab: Performing advanced data calculations

Designing a Visual Analytics Solution

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

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

REVIEWING ARCHITECTING CONCEPTS

SINGLE TO MULTIPLE ACCOUNTS

Group Exercise: Review Architecting on AWS core best practices
AWS Organizations for multi-account access and permissions
AWS SSO to simplify access and authentication across AWS accounts and third-party services
AWS Control Tower
Permissions, access, and authentication

HYBRID CONNECTIVITY

SPECIALIZED INFRASTRUCTURE

Zielgruppe

Data and business analysts who build and manage business analytics dashboards.

Voraussetzung für den Kurs

1. Attendees should have a minimum of one-year experience in business intelligence or a similar function 2. Completed the following course: Data Analytics Fundamentals

Partner

AWS