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Amazon Web Services (AWS) - Authoring Visual Analytics Using Amazon QuickSight

Dauer

Dauer:

Nur 1 Tag

Methode

Methode:

Klassenraum / Online / Hybrid

nächster Termin

nächster Termin:

10.2.2025 (Montag)

Overview

On this accelerated AWS: Authoring Visual Analytics Using Amazon QuickSight course, you will learn to leverage Amazon QuickSight to make data-driven decisions across your organization.

On this course you will gain deeper business value from your data using visual analytics and ML-powered insights and you will learn to leverage Amazon QuickSight by understanding how to connect to multiple data sources and author data visualizations and dashboards, to allow end-users to make better data-driven decisions.

The Authoring Visual Analytics Using Amazon QuickSight course is led by an expert AWS instructor who will help you understand how to connect to data sources, build visuals, design interactivity, and transform your data using advanced calculations. You will learn how to apply security and access controls in QuickSight, and explore the machine learning capabilities built into QuickSight. You will gain an understanding of how to build a visual analytics solution using QuickSight through tutorials, hands-on labs, discussions, demonstrations, presentations, and group exercises.

In just 1 day, you’ll learn to explain the benefits, use cases, and key features of Amazon QuickSight. You’ll also learn how to:

  • Design, create, and customize QuickSight dashboards to visualize and extract business insights from your data
  • Select and configure appropriate visualization types to identify, explore, and drill down on business insights
  • Describe how to use one-click embed to incorporate visual analytics into applications
  • Build a data visualization solution using Amazon QuickSight.
  • Apply security best practices to your analyses.
  • Explore the machine learning capabilities built into QuickSight.

At the end of this course, you’ll achieve your Authoring Visual Analytics Using Amazon QuickSight certification.

Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

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

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Benefits

In einem Firebrand Intensiv-Training profitieren Sie von folgenden Vorteilen:

  • Zwei Optionen - Präsenz- oder Onlinetraining
  • Ablenkungsfreie Lernumgebung
  • Eigene Trainings- und Prüfungszentren (Pearson VUE Select Partner)
  • Effektives Training mit praktischen Übungseinheiten und intensiver Betreuung durch unsere Trainer
  • Umfassendes Leistungspaket mit allem, was Sie benötigen, um Ihre Zertifizierung zu erhalten, inklusive unserer Firebrand Leistungsgarantie.

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Curriculum

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

 

Exam Track

At the end of this accelerated course, you’ll achieve your Authoring Visual Analytics Using Amazon QuickSight Certification

This course includes presentations, demonstrations, group exercises, and practice and challenge labs.

What's Included

Prerequisites

Before attending this accelerated course, you should have:

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

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Erfahrungsberichte

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