Authoring Visual Analytics Using Amazon QuickSight Course Overview

To ensure that our students are well-prepared and can successfully undertake training in the Authoring Visual Analytics Using Amazon QuickSight course, the following minimum prerequisites are recommended:

• Basic understanding of data concepts, such as what constitutes a data set and the importance of data analysis.
• Familiarity with the concepts of data visualization and why it is useful for interpreting data.
• Some experience with spreadsheets or other tools that handle data (e.g., Microsoft Excel, Google Sheets), as this will help with grasping data manipulation concepts.
• Awareness of cloud computing fundamentals, particularly as they pertain to data storage and management.
• No prior experience with Amazon QuickSight is required; however, general familiarity with Amazon Web Services (AWS) is beneficial.
• A willingness to learn and explore new tools for data analytics and visualization.

Please note that while these prerequisites are intended to provide a solid foundation for learning, our course is designed with a step-by-step approach that can accommodate individuals who are new to Amazon QuickSight or data visualization. Our instructors will guide you through all the necessary steps to gain proficiency in using Amazon QuickSight for visual analytics.

Target Audience for Authoring Visual Analytics Using Amazon QuickSight

1. This Amazon QuickSight course is designed for professionals seeking expertise in data visualization and analytics within AWS.

   
   

2. Target audience for the Authoring Visual Analytics Using Amazon QuickSight course:

   
   

• Data Analysts
• Business Intelligence Professionals
• Data Scientists
• Data Engineers
• AWS Cloud Practitioners
• Business Analysts
• IT Managers
• Solution Architects
• Product Managers
• Marketing Analysts
• Finance Analysts
• Data Visualization Specialists
• Database Administrators
• Professionals seeking to enhance their data presentation skills
• Individuals aiming for AWS Certification in Data Analytics or Big Data

Learning Objectives - What you will Learn in this Authoring Visual Analytics Using Amazon QuickSight?

Introduction to Course Learning Outcomes

Gain proficiency in using Amazon QuickSight for intuitive data visualization, interactive dashboards, and advanced data analysis with machine learning insights to unlock business intelligence.

Learning Objectives and Outcomes

• Understand the core features and benefits of Amazon QuickSight for data analytics and visualization.
• Learn to navigate the Amazon QuickSight interface and interact with its various components.
• Acquire skills to load and transform data into Amazon QuickSight for visualization purposes.
• Create compelling visualizations and build interactive dashboards from scratch.
• Optimize dashboard layouts, aesthetics, and enhance visualizations with interactive elements.
• Perform data preparation and dataset transformations to facilitate insightful analysis.
• Implement advanced data calculations and leverage QuickSight's calculation functions for in-depth analytics.
• Understand and apply Amazon QuickSight security measures, including access control for datasets and visualizations.
• Explore QuickSight's machine learning capabilities, including anomaly detection and forecasting.
• Utilize Natural Language Query with QuickSight Q for intuitive data exploration and obtaining ML-generated insights.