Redash Masterclass: Dashboards, SQL & On-Prem Deployment

Posted on: 24th June 2026

Instructor: N/A • Language: N/A

Master Redash end-to-end, from on-premises installation using Docker and connecting data sources to writing SQL queries and building interactive dashboards with diverse visualizations.

Description

If you are a data analyst, engineer, or business intelligence professional looking to master a powerful, open-source BI tool but find the options overwhelming, this course stood out because it offers a complete, hands-on guide to Redash, covering everything from installing it on-premises using Docker and administering user permissions to connecting real data sources like MySQL and Cassandra, writing efficient SQL queries with parameters, and building a variety of interactive visualizations and dashboards, culminating in a real-world capstone project.

This Course Offers

  • Complete mastery of Redash installation and administration: You will learn to install and configure Redash in local and on-premises environments using Docker on Windows, and manage data access and permissions securely, skills essential for enterprise settings.
  • Practical skills in connecting data sources and writing queries: You will connect Redash to multiple enterprise data sources like MySQL, Cassandra, and Hive, write efficient SQL queries, and use query parameters and snippets to create flexible and reusable reports.
  • Expertise in designing meaningful visualizations and dashboards: You will build a wide range of charts including tables, line, bar, pie, scatter, boxplot, cohort, funnel, map, pivot table, Sankey, sunburst, and word cloud, learning which chart to use for different data stories.
  • End-to-end project experience delivering a business intelligence solution: You will bring everything together in a capstone project building a complete Video Game Sales dashboard from scratch, simulating a real-world BI deliverable from installation to final interactive dashboard.

Why We Love This Course

  1. It offers a complete, end-to-end learning experience for a single, powerful BI tool. Instead of a high-level overview, you get a deep dive into Redash's entire lifecycle. You can tell the curriculum is designed to make you job-ready by covering installation, administration, querying, visualization, and project delivery.
  2. The focus on on-premises deployment is a major advantage. Many BI courses only cover cloud-hosted versions. This course explicitly teaches you how to install and configure Redash in on-premises environments using Docker, a critical skill for organizations with strict data governance or security requirements.
  3. It is exceptionally practical and covers a wide range of visualization types. The course provides step-by-step demonstrations and hands-on work with real data sources. The breadth of chart types covered, from basic charts to Sankey and sunburst diagrams, ensures you have the tools to create insightful and varied dashboards.
  4. The instructor brings deep industry experience. Taught by a Solution Architect with over 12 years of experience in banking, telecommunications, and financial services, the course content is grounded in real-world enterprise challenges and best practices, adding significant credibility.

Redash is a powerful, open-source BI tool that is gaining traction for its flexibility and ease of use. This course provides a clear, practical, and comprehensive path to mastering it, and it is backed by a money-back guarantee if it does not meet your expectations.

Course Eligibility

  • This course is perfect for data analysts, business intelligence professionals, data engineers, and SQL developers.
  • It is ideal for students and beginners in data analytics or BI, as well as professionals transitioning into analytics or BI roles.
  • The course is also great for anyone interested in building real-world dashboards and gaining hands-on experience with an open-source BI platform.

Course Requirements

  • A basic understanding of SQL is recommended to get the most from the course.
  • You should have basic computer skills and a Windows 10 or Windows 11 system.
  • No prior Redash experience is required; an interest in data analytics, visualization, or BI is all you need.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.

Price: Free