Authoring Visual Analytics Using Amazon QuickSight Course Overview

Authoring Visual Analytics Using Amazon QuickSight Course Overview

The "Authoring Visual Analytics Using Amazon QuickSight" course is designed to equip learners with the skills needed to create powerful visual analytics on the Amazon QuickSight platform. This comprehensive course covers the fundamentals of QuickSight, starting with an introduction to the tool, exploring why Amazon QuickSight is a valuable resource for data visualization, and guiding students through the Process of loading and visualizing data.

As the course progresses, learners will discover how to Enhance dashboards and add interactivity, preparing datasets for deeper analysis, and Implementing advanced data calculations. Amazon QuickSight training also includes an exploration of Security features, Access control, and the platform's Machine learning capabilities, including Anomaly detection and Forecasting.

By the end of the course, participants aiming for Amazon QuickSight certification will have hands-on experience creating dynamic dashboards and harnessing the full potential of QuickSight for insightful data-driven decision-making. This course is a valuable investment for anyone looking to master visual analytics in the Amazon Web Services ecosystem.

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  • Live Training (Duration : 16 Hours)
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  • Including Official Coursebook

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Course Prerequisites

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.

Technical Topic Explanation

Machine learning capabilities

Machine learning is a type of artificial intelligence that enables computers to learn from data and make decisions without being explicitly programmed. It involves algorithms that analyze data, learn from it, and then apply learned insights to make informed predictions or decisions. This technology is used across various industries to enhance processes, personalize experiences, and improve outcomes by automating complex decision-making tasks. Examples include recommendation systems in e-commerce, speech recognition in virtual assistants, and predictive maintenance in manufacturing.

Process of loading and visualizing data

The process of loading and visualizing data begins by gathering and importing data into a management system, like Amazon QuickSight. Once data is in the system, it can be cleansed and organized for accuracy. Visualization is then possible using various tools within QuickSight, enabling the creation of interactive charts, graphs, and dashboards that make complex data easier to understand and actionable. This facilitates better decision-making and insights. For a comprehensive understanding, pursuing Amazon QuickSight training or certification can be highly beneficial, enhancing skills in efficiently using the platform for data analysis.

Enhance dashboards

Enhanced dashboards are advanced visual displays of data used to monitor, analyze, and make more informed decisions in real-time. They synthesize complex information from multiple sources into understandable and actionable insights using charts, graphs, and KPIs. To boost dashboard performance, techniques like customized views, real-time data integrations, and user-friendly designs are often employed. Additionally, ensuring dashboards are mobile-responsive and accessible boosts usability and decision-making on the go. Enhancing dashboards effectively can lead to improved business outcomes by facilitating better strategic planning and operational efficiency.

Security features

Security features in technology refer to the tools and protocols designed to protect data, networks, and devices from unauthorized access, breaches, and other cyber threats. These features include encryption, which scrambles data to prevent unauthorized reading; firewalls, which block unauthorized access to networks; and authentication methods, such as passwords and biometrics, ensuring that only authorized users can access certain information. Additionally, regular updates and security patches help safeguard systems against new vulnerabilities. Implementing robust security features is crucial for maintaining the integrity and confidentiality of sensitive information in any digital environment.

Anomaly detection

Anomaly detection is a technology used to identify unusual patterns or outliers in data that do not conform to expected behavior. It is crucial in many contexts like fraud detection, network security, and fault diagnosis. By analyzing vast amounts of data, anomaly detection helps in spotting rare events or the points that raise suspicions, efficiently preventing potential problems. This technique utilizes advanced algorithms and machine learning to distinguish normal from abnormal activities automatically, enhancing system reliability and security.

Amazon QuickSight certification

Amazon QuickSight certification is a credential demonstrating expertise in using Amazon QuickSight, a business analytics service provided by AWS. This certification indicates proficiency in creating and managing business intelligence insights and visualizations with QuickSight's tools. Preparing for this certification typically involves engaging in Amazon QuickSight training or AWS QuickSight certification programs, which are structured to provide comprehensive learning about the platform's full capabilities, thus enhancing data analysis and decision-making processes in business environments.

Forecasting

Forecasting in technology often involves using data and statistical models to predict future events or behaviors. This process is essential for businesses to make informed decisions regarding inventory, budgeting, or strategic planning. Tools like Amazon QuickSight aid in forecasting by providing advanced analytics and machine learning capabilities, allowing users to easily visualize and analyze trends. QuickSight training or certification can enhance one’s ability to effectively use this tool, improving accuracy in predictions and decision-making processes in various organizational contexts.

Implementing advanced data calculations

Implementing advanced data calculations involves using sophisticated methods to analyze and process data for deeper insights. This can include statistical modeling, predictive analytics, and machine learning. Tools such as Amazon QuickSight provide powerful functionalities to perform these calculations, enabling users to visualize data trends and make informed decisions. With Amazon QuickSight training or certification, professionals can learn to set up, navigate, and utilize advanced analytical features effectively, enhancing their ability to handle complex data sets and improve business outcomes.

Access control

Access control is a security technique that regulates who or what can view or use resources in a computing environment. It is a fundamental component of security compliance programs that ensures security technology and access control policies are in place to protect confidential information, such as company data, from unauthorized access and breaches. The method involves identifying and authenticating entities through logins, password protections, and biometrics, granting only authorized users and devices access to applications, files, and other resources based on a set of rules defined by the system's security policy.

Data visualization

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. Tools like Amazon QuickSight enable users to easily create and share interactive visualizations. With QuickSight certification or training, professionals can enhance their skills in effectively using this tool to present complex data in an understandable and visually appealing way, aiding better decision-making and insight discovery in business contexts.

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.