This Apache Superset Fundamentals training is designed to help participants build interactive dashboards and data exploration workflows using Apache Superset. The course covers Superset architecture, data source connectivity, dataset creation, chart building, SQL Lab, dashboard design, security basics, and deployment concepts. Participants will gain hands-on experience to create scalable, open-source business intelligence solutions for data visualization and analytics.

• Understand the architecture, features, and core concepts of Apache Superset for business intelligence and analytics.
• Connect Apache Superset to multiple databases and data sources for reporting and analysis.
• Create interactive charts, dashboards, and visual reports using Superset visualization tools.
• Build datasets, apply filters, metrics, and calculated fields for data analysis.
• Manage user roles, permissions, and secure access to analytics resources.
• Publish, share, and monitor dashboards for data-driven decision-making using Superset best practices.

 • Data analysts and BI professionals
 • Data engineers supporting analytics platforms
 • Data scientists exploring visualization tools
 • Organizations adopting open-source BI tools
 • Professionals transitioning from proprietary BI platforms

 • Basic understanding of data and databases
 • Familiarity with SQL is helpful
 • Basic computer operation skills

 • Navigating and using Apache Superset interface
 • Connecting Superset to multiple data sources
 • Creating datasets and semantic layers
 • Building charts and visualizations
 • Designing interactive dashboards
 • Using SQL Lab for data exploration
 • Managing users and basic security
 • Deploying and maintaining Superset basics

By the end of this training, participants will be able to build and manage interactive dashboards using Apache Superset with confidence. Learners will gain strong fundamentals in dataset modeling, chart creation, SQL Lab usage, and dashboard design, enabling them to deliver scalable open-source BI solutions.

Introduction to Apache Superset & Architecture
 • What is Apache Superset and where it is used
 • Superset components and architecture overview
 • Installing and setting up Superset
 • Understanding Superset workspace and UI

Connecting to Data Sources
 • Configuring database connections
 • Supported databases overview
 • Managing credentials securely
 • Testing data source connectivity

Datasets & Semantic Layer Basics
 • Creating and managing datasets
 • Defining metrics and calculated columns
 • Managing dimensions
 • Best practices for dataset design

Building Charts & Visualizations
 • Creating basic charts
 • Choosing appropriate visualization types
 • Configuring chart controls
 • Saving and managing charts

SQL Lab & Advanced Data Exploration
 • Using SQL Lab for ad-hoc queries
 • Writing and saving SQL queries
 • Exploring query results
 • Creating datasets from SQL

Dashboard Design & Interactivity
 • Creating dashboards
 • Adding and arranging charts
 • Filters and dashboard interactions
 • Dashboard design best practices

Security & User Management Basics
 • Roles and permissions overview
 • Managing users and access
 • Securing dashboards and datasets
 • Basic authentication concepts

Performance Optimization & Caching
 • Query performance considerations
 • Using caching effectively
 • Database performance best practices
 • Improving dashboard load times

Deployment & Operations Basics
 • Running Superset in production
 • Docker-based deployment overview
 • Backup and restore basics
 • Monitoring and maintenance concepts

• Apache Superset Setup & Environment Configuration Assessment
• Data Source Integration & Dataset Management Assessment
• Chart Creation & Data Visualization Assessment
• Dashboard Development & Interactive Analytics Assessment
• Security, Access Control & Analytics Project Assessment

Participants will be evaluated through hands-on Superset labs, practical dashboard development exercises, instructor-led dashboard reviews, and a final assessment focused on building and publishing a complete Superset dashboard.

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Apache Superset Fundamentals. This digital, verifiable certification validates practical Apache Superset dashboarding, data exploration, and open-source BI platform skills and can be shared on LinkedIn and included in professional profiles to enhance analytics and BI career credibility.