Listing Thumbnail

    Training: Authoring Visual Analytics Using Amazon QuickSight

     Info
    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.

    Overview

    Description

    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.

    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 

    Highlights

    • Comprehensive Dashboard Creation: Learn to design, customize, and optimize QuickSight dashboards to visualize data and uncover business insights.
    • Advanced Data and Security Features: Gain skills in applying fine-grained access controls, advanced data calculations, and security mechanisms for robust data
    • Machine Learning Integration: Explore QuickSight’s ML capabilities for anomaly detection, forecasting, and natural language querying with QuickSight Q.

    Details

    Delivery method

    Deployed on AWS

    Unlock automation with AI agent solutions

    Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
    AI Agents

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support

    Vendor support

    This offer does not include a support package. Please contact training@tecracer.de  if you have any questions.