Apache Superset Deep Dive: Building Powerful and Scalable Dashboards

From Data to Insights: Mastering SQL, Visualization, and Collaboration


4 Days (8 hours per day)


Intermediate Level

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This course equips you with the skills to leverage Apache Superset, an open-source business intelligence (BI) platform, for data exploration and visualization. Through a blend of lectures, demonstrations, and hands-on labs, you’ll gain expertise in creating interactive dashboards, crafting compelling visualizations, and effectively communicating insights from your data.

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  • Data analysts seeking powerful tools for data exploration
  • Business intelligence professionals looking to build interactive dashboards
  • Developers interested in integrating data visualization into applications
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  • Introduction to Business Intelligence (BI) and Data Visualization
  • Unveiling Apache Superset: Features and Benefits
  • Comparing Superset with other BI tools
  • Exploring Superset’s User Interface and Navigation
  • Connecting Superset to Various Databases (SQLAlchemy)
  • Writing SQL Queries within Superset’s SQL Lab
  • Leveraging the Metadata Explorer for Efficient Data Discovery
  • Working with Filters and Time Series Analysis
  • Creating Dashboards and Layouts
  • Exploring a Wide Range of Visualization Options (Charts, Maps, etc.)
  • Customizing Visualizations with Chart Editor and Formatting Options
  • Designing Interactive Dashboards with Filters and Drill-Downs
  • Sharing Dashboards with Team Members and Stakeholders
  • Configuring User Roles and Permissions
  • Embedding Dashboards in Applications and Websites
  • Exploring Collaborative Features for Team-based Data Analysis
  • Working with the Semantic Layer: Defining Custom Metrics and Dimensions
  • Utilizing SQL Templates and Jinja for Dynamic Dashboards
  • Scheduling Automated Data Refreshes and Alerts
  • Integrating Superset with External Data Sources (e.g., CSV files)
  • Implementing User Authentication and Authorization in Superset
  • Scaling Superset for Performance in Production Environments
  • Best Practices for Deploying and Managing Superset
  • Building a Sample Dashboard for Sales Analysis
  • Creating Interactive Dashboards for Marketing Campaigns
  • Exploring Superset for Financial Data Visualization
  • (Optional) Integrating Superset with Data Pipelines and Stream Processing
  • Customizing Superset with Plugins and Extensions
  • Building Custom UIs with Superset’s Javascript API
  • Contributing to the Apache Superset Project
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  • Basic understanding of SQL concepts
  • Familiarity with data analysis principles


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