Authoring Visual Analytics with Amazon QuickSight

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