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Amazon Web Services / AWS Data Analytics
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Authoring Visual Analytics with Amazon QuickSight (english)

2 days
English
In Kooperation mit
In this course, you build a data visualization solution using Amazon QuickSight. The focus of the session will be on connecting to data sources, building visuals, creating calculations and designing interactivity.
Content

Introduction

  • Introduction to course
  • Access to resources (Hands-on lab interface, instructions)

Module 1: Introduction and overview of Amazon QuickSight

  • What is QuickSight and key features?
  • Why use QuickSight for data visualization?
  • Common Use-Cases

Module 2: Getting Started with Amazon QuickSight

  • Loading data
  • Visualizing data
  • Demo of the QuickSight interface
  • Hands-on Lab: Creating your first dashboard

Module 3: Enhancing and adding interactivity to your dashboard

  • Overview of techniques to enhance the usability of your dashboard
  • Optimizing the size, layout, and aesthetics of a dashboard
  • Adding interactivity
  • Hands-on Lab: Enhancing your dashboard

Module 4: Preparing data for analysis

  • Working with datasets
  • Data preparation and manipulation best practices
  • Hands-on Lab: Preparing data for analysis

Module 5: Wrap Up

  • Recap 
Benefits
  • Explaining the benefits, use cases, and key features of Amazon QuickSight
  • Designing, creating, and customizing QuickSight dashboards to visualize and extract business insights from your data
  • Selecting and configuring appropriate visualization types to identify, explore, and drill down on business insights
  • Describing how to use one-click embed to incorporate visual analytics into applications
Instructor
Yuri Nikulin
Matthew Millward
Methods

This course comes in 2 instructor-led full day sessions with the instructor supervising the participants live. Each course consists of theory parts with live demos and practical lab exercises. The course can be attended via Zoom. Please also refer to the course description for specific details regarding the prerequisites and the covered topics.

Who should attend

This course is intended for the following job roles:

  • Data Analytics

Participants should have at least one year of experience in business intelligence or a similar role as well as having completed the following course: Fundamentals of Data Analysis 

1360
zzgl. MwSt.
1618.4
inkl. MwSt.
Buchungsnummer
33824
Ort der Veranstaltung
Online
3 Events
Inhouse Training
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Starttermine und Details
4.4.2024
Plätze frei
Durchführung gesichert
Durchführung fast gesichert
Plätze frei
Durchführung gesichert
Durchführung fast gesichert
29.5.2024
Plätze frei
Durchführung gesichert
Durchführung fast gesichert
Plätze frei
Durchführung gesichert
Durchführung fast gesichert
15.8.2024
Plätze frei
Durchführung gesichert
Durchführung fast gesichert
Plätze frei
Durchführung gesichert
Durchführung fast gesichert

The training is carried out in cooperation with an authorized training partner.
For the purpose of implementation, participant data will be transferred to the training partner and the training partner assumes responsibility for the processing of these data.
Please take note of the corresponding privacy policy.

Du hast Fragen zum Training?
Ruf uns an unter +49 761 595 33900 oder schreib uns auf service@haufe-akademie.de oder nutze das Kontaktformular.
1360
zzgl. MwSt.
Buchungsnummer
33824
3
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