About Course
The Authoring Visual Analytics Using Amazon QuickSight course offers a comprehensive introduction to designing and delivering powerful, interactive dashboards within the Amazon Web Services (AWS) ecosystem. This course is tailored to help learners understand the full capabilities of Amazon QuickSight, starting from data ingestion and preparation to crafting insightful visual analytics and applying machine learning features like anomaly detection and forecasting.
The course covers key areas such as:
- Amazon QuickSight Overview: Introduction to QuickSight’s role within AWS and its value for data visualization.
- Data Loading and Preparation: Learn to connect to data sources, transform datasets, and prepare data for analysis.
- Dashboard Creation and Enhancement: Build engaging dashboards using various chart types, filters, and interactive elements.
- Advanced Calculations and Analytics: Implement calculated fields and use advanced functions to derive business insights.
- Security and Access Control: Understand user access, dataset permissions, and secure sharing of dashboards.
- Machine Learning Integration: Utilize built-in ML features like anomaly detection, forecasting, and natural language queries with QuickSight Q.
By the end of this course, learners will be able to:
- Navigate the Amazon QuickSight interface with confidence.
- Prepare and transform datasets for effective visualization.
- Build dynamic dashboards that support decision-making.
- Apply advanced calculations and analytics techniques.
- Use ML capabilities for predictive insights and trend analysis.
- Securely manage access and sharing of dashboards.
This course is ideal for professionals aiming to enhance their visual analytics skills within the AWS platform.
Course Prerequisites
While no prior experience with Amazon QuickSight is required, the following foundational knowledge will support your learning:
- Basic understanding of data concepts (datasets, tables, fields)
- Familiarity with data visualization concepts and tools
- Experience with spreadsheets (e.g., Excel, Google Sheets)
- Awareness of cloud computing fundamentals and AWS services
- Willingness to explore new data analytics tools
The course is designed with step-by-step guidance to support beginners and intermediate learners alike.
Target Audience
This course is ideal for professionals who work with data and seek to build compelling visualizations on AWS:
- Data Analysts
- Business Intelligence Professionals
- Data Scientists
- Data Engineers
- AWS Cloud Practitioners
- Business Analysts
- IT Managers
- Solution Architects
- Product Managers
- Marketing Analysts
- Finance Analysts
- Database Administrators
- Data Visualization Specialists
- Professionals preparing for AWS Analytics or Big Data certifications
Why Choose us
⭢ Live Online Training (Duration : 16 Hours)
⭢ Guaranteed to run classes
⭢ Experienced & certified trainers
⭢ Query Handling session
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Learning Objectives
After completing the Authoring Visual Analytics Using Amazon QuickSight course, learners will be able to:
- Understand the core features and advantages of Amazon QuickSight for business intelligence.
- Navigate QuickSight’s interface and create datasets from various data sources.
- Prepare, transform, and manage datasets for visualization and analysis.
- Design and publish interactive dashboards using a wide range of visualization types.
- Use filters, parameters, and controls to add interactivity to dashboards.
- Apply advanced calculations and analytics functions for deeper insights.
- Configure access control and manage permissions for secure sharing.
- Leverage ML features like anomaly detection, forecasting, and QuickSight Q.
- Interpret trends and patterns to drive data-driven decisions.
- Gain hands-on experience for preparing for Amazon QuickSight certification.
Benefits of the course
- Master Data Visualization on AWS:
- Learn to create interactive, scalable, and insightful visual analytics using Amazon QuickSight, AWS’s business intelligence service.
- Industry-Relevant Skills:
- Gain expertise in connecting to various data sources, preparing datasets, creating dashboards, and utilizing machine learning-powered insights for decision-making.
- Real-World Skills:
- Learn how to design and publish rich visualizations, apply dynamic filters, and set up real-time data updates to track key metrics and KPIs.
- Hands-On Experience:
- Includes practical labs and real-world scenarios to help you build, analyze, and share QuickSight reports and dashboards for actionable insights.
- Career Boost:
- Prepares you for roles such as Business Intelligence Analyst, Data Analyst, and Cloud Data Specialist in data-driven organizations seeking actionable insights.
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