Create powerful, interactive dashboards and visualizations with the open-source Apache Superset BI platform
Mastering Apache Superset: Build Modern BI Dashboards
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..
Course Content
- Introduction –> 4 lectures • 31min.
- Installation and Setup –> 3 lectures • 24min.
- Superset UI Walkthrough –> 2 lectures • 15min.
- Data Connection and Dataset Creation –> 5 lectures • 17min.
- SQL Basics –> 34 lectures • 2hr 38min.
- SQL Lab –> 3 lectures • 13min.
- Exploring and Visualizing Data –> 9 lectures • 41min.
- Applying Filters & Conditions –> 8 lectures • 23min.
- Dashboards –> 7 lectures • 29min.
- Advanced Features –> 2 lectures • 9min.
- Superset Administration –> 6 lectures • 43min.
Requirements
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