Apache Superset Masterclass: Build Modern BI Dashboards
Last updated 7/2025
Duration: 13h 18m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 2.81 GB
Genre: eLearning | Language: English
Last updated 7/2025
Duration: 13h 18m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 2.81 GB
Genre: eLearning | Language: English
Create powerful, interactive dashboards and visualizations with the open-source Apache Superset BI platform
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.
Requirements
- Familiarity with tables, rows, columns, and basic SQL concepts
Description
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 youturn 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
Who this course is for:
- Data Analysts and Business Intelligence Professionals
- Data Engineers and Developers
- Anyone Exploring Alternatives to Tableau, Power BI, or Looker
More Info