Authoring Visual Analytics Using Amazon QuickSight Course Overview:

Are you interested in employing ML-powered insights and visual analytics to extract more business value from your data? By learning how to connect to various data sources, create dashboards and data visualisations, and utilise Amazon QuickSight, you can empower end users to make more informed decisions based on data. An experienced AWS instructor will guide you through the steps of connecting to data sources, creating visuals, designing interactive designs, and transforming your data using sophisticated calculations in the Authoring Visual Analytics Using Amazon QuickSight course.

You’ll discover how to use QuickSight’s built-in machine learning features and apply security and access controls. You’ll learn how to use QuickSight to create a visual analytics solution using tutorials, handos-on practice and much more.

After completing Authoring Visual Analytics Using Amazon QuickSight Training, students will be able to

  • Describe the advantages, applications, and salient features of Amazon QuickSight. Develop, design, and personalise QuickSight dashboards to display data and draw conclusions for your company.
  • Explain how to use one-click embed to incorporate analytics into applications.
  • Connect, transform, and prepare data for dashboarding consumption;
  • Conduct advanced data calculations on QuickSight analyses.
  • Choose and configure the appropriate visualisation types to identify, explore, and drill down on business insights; What are the available security measures for Amazon QuickSight? Apply machine learning to data sets for anomaly detection and forecasting; Apply fine-grained access control to a dataset; To improve the dashboard user experience, describe QuickSight Q's advantages and salient features.

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Authoring Visual Analytics Using Amazon QuickSight Key Features:

  • The Authoring Visual Analytics Using Amazon QuickSight course offers several key features, including:
  • Comprehensive Curriculum: The course covers all aspects of Map-Reduce concepts.
  • Hands-On Labs: Participants will have the opportunity to work on real-world scenarios and projects, gaining practical experience with AWS tools and services.
  • Experienced Instructors: The course is taught by industry experts with years of experience in AWS, ensuring high-quality instruction.
  • Flexible Schedule: The course is offered in both online and in-person formats, with options for full-time or part-time study.
  • Certification: Participants will receive a certificate of completion at the end of the course.

Who should attend this Course?

  • Data Platform engineers.
  • Architects and operators who build and manage data pipeline.

Prerequisites for this Certification Course:

  • Participants must have a minimum of one-year experience in business intelligence or a similar function.
  • Completed the course Data Analytics Fundamentals.

    Authoring Visual Analytics Using Amazon QuickSight Certification Course Outline Download Course Outline

    • Introducing Amazon QuickSight
    • Why use Amazon QuickSight for data visualization

    • 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

    • 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

    • Working with datasets
    • Demonstration: Transform your datasets for analysis
    • Practice Lab: Preparing data for analysis

    • Transform data using advanced calculations
    • Practice Lab: Performing advanced data calculations
    • Activity: Designing a Visual Analytics Solution

    • Overview of Amazon QuickSight security and access control
    • Dataset access control in Amazon QuickSight
    • Lab: Implementing access control in Amazon QuickSight visualizations

    • Introducing Machine Learning (ML) insights
    • Natural Language Query with QuickSight Q
    • Demonstration: Using QuickSight Q
    • Lab: Using machine learning for anomaly detection and forecasting

    • Join data sources together
    • Create a dashboard
    • Enhance the dashboard and add interactivity
    • Perform advanced data calculations
    • Integrate machine learning tools into the dashboard

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    Course ID: 20032

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    $1599 + 0% TAX
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