What you'll learn:
- Set up connections to databases like PostgreSQL, MySQL, Snowflake, DuckDB, etc., and understand dataset management.
- Design and build dynamic dashboards with cross-filtering, tabs, custom layouts, and filters for business storytelling.
- Leverage SQL Lab to write, save, and reuse SQL queries for more advanced data analysis.
- Build a complete, interactive dashboard project that simulates a real business scenario in sales, marketing, or finance.
- Step-by-step instructions to install Superset using Docker and alternative methods, with full configuration walkthroughs.
Mastering Apache Superset: Build Modern BI Dashboards
Are you looking for a fast, modern, and open-source alternative to expensive BI tools like Tableau or Power BI?
Welcome to "Mastering Apache Superset" — your complete guide to building beautiful, interactive dashboards and unlocking insights with data, using one of the most popular open-source business intelligence platforms available today.
Whether you're a data analyst, developer, data engineer, or just someone passionate about working with data, this course will help you turn raw data into meaningful, visual stories—without needing to be a coding expert.
What This Course Covers:
Module 1: Getting Started
What is Apache Superset and why it's gaining popularity in data teams globally
How it fits into a modern data stack
Installing Superset using Docker (and alternatives if needed)
Module 2: Connecting to Your Data
Setting up connections to PostgreSQL, MySQL, DuckDB, etc.
Creating and managing datasets
Writing SQL queries and building virtual datasets
Module 3: Visualizing Your Data
Explore 30+ built-in chart types
Configure filters, tooltips, custom metrics, and drilldowns
Best practices for building clean and effective visualizations
Module 4: Dashboards That Tell a Story
Combine multiple charts into dynamic dashboards
Cross-filtering, interactivity, and layout customization
Sharing, exporting, and embedding dashboards in other platforms
Module 5: SQL Lab for Analysts
Use SQL Lab to write, save, and reuse queries
Analyze large datasets directly in the browser
Integrate SQL Lab outputs into dashboards
Module 6: User Access & Security
Role-based access control (RBAC)
Implementing row-level security (RLS)
Managing users, permissions, and team collaboration
Module 7: Superset Administration
Understanding Superset's architecture
Configuring performance and caching
Deployment options for production environments
By the End of This Course, You’ll Be Able To:
Confidently install, configure, and use Apache Superset for business intelligence
Create visually compelling dashboards that tell clear, actionable stories
Work with real databases and datasets in a highly interactive environment
Share your insights with decision-makers or clients through intuitive visuals
