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Training: 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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About

Description

Course Objectives

In this course, you will learn to:

Explain the benefits, use cases, and key features of Amazon QuickSight

Design, create, and customize QuickSight dashboards to visualize data and extract business insights from it

Select and configure appropriate visualization types to identify, explore, and drill down on business insights

Describe how to use one-click embed to incorporate analytics into applications

Connect, transform, and prepare data for dashboarding consumption

Perform advanced data calculations on QuickSight analyses

Describe the security mechanisms available for Amazon QuickSight

Apply fine-grained access control to a dataset

Implement machine learning on data sets for anomaly detection and forecasting

Explain the benefits and key features of QuickSight Q to enhance the dashboard user experience

Prerequisites

We recommend that attendees of this course have:

Completed Data Analytics Fundamentals

Course duration / Price

2 days / € 1,295.00 (excl. tax) per person (DE)

Course outline

Day 1:

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

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

The practical exercises are performed in prepared working environments available via web browser – no software needs to be installed. The course material is in English, spoken language can be in german or english. Other languages like spanish, portuguese or french, please contact us under training@tecracer.de

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