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Amazon Web Services

Amazon QuickSight Advanced Business Intelligence Authoring (Part 1)

Amazon Web Services and Amazon via AWS Skill Builder

Overview

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This course is part of a two-part series. In this series, you will learn how to author business intelligence experiences using Amazon QuickSight.

In this first course you will refresh QuickSight concepts, learn how to connect to more than one data source, how to use multiple datasets in an analysis, and how to share assets. You will learn advanced calculations and how to change the dashboard layout and overlaying visuals. You will also become familiar with how to create customizations, add tool tips, change formatting, apply advanced themes, and manage folders. You will learn how to connect to more than one data source, how to use multiple datasets in an analysis, and how to share assets.

  • Course level: Intermediate
  • Duration: 1.5 hours

Activities

This course includes presentations, demonstrations, videos, and assessments.

Course objectives

In this course, you will learn to:

  • Author business intelligence (BI) analysis, dashboards, and reports with QuickSight using advanced techniques and features.
  • Connect to data sources, and prepare data for analysis using QuickSight.
  • Use different visualization types and formatting options in QuickSight.
  • Create basic and advanced calculations in QuickSight.

Intended audience

This course is intended for:

  • Data analysts
  • BI analysts
  • Data engineers
  • BI engineers
  • BI architects

Prerequisites

We recommend that attendees of this course have completed the following courses:

  • Data Analytics Fundamentals
  • Getting Started with Amazon QuickSight

Course outline

Introduction

  • QuickSight Concepts

Data

  • Data Connectivity
  • Data Preparation

Visualization

  • Visualization Types
  • Formatting
  • Basic and Advanced Calculations

Module 1 description

You will begin with the Introduction module, which will refresh your knowledge of core QuickSight capabilities, benefits, and technical concepts.

 

Module 2 description

You will explore connecting to multiple data sources and preparing data for analysis in the Data module.


Module 3 description

You will learn how to create visualizations in the Visualization module. You will explore different visualization types, apply forma

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