Description
Apache Superset – Explore, Visualize, Analyze – From Scratch. This course provides a comprehensive introduction to the powerful Superset platform for working with data, from basics to advanced. The course begins by defining the basic concepts of data exploration, visualization, and analysis and their relationship to business intelligence. Then, learners are introduced step-by-step to installing Docker Desktop and setting up Superset in this environment, and loading sample data. Next, the Superset user interface is thoroughly examined and the complete workflow, from creating datasets and building various charts to designing interactive dashboards, is explained in detail. It also teaches how to connect to various databases such as Postgres and MySQL, as well as loading Excel files. More advanced concepts such as semantic layer, custom measures, and calculated columns are also covered. User access management with a role-based system is taught in a hands-on manner, along with setting up Superset locally, and important configuration settings such as enabling the Mapbox API and setting row limits are also explained. Finally, the course concludes with a tutorial on deploying Superset on the Kubernetes platform.
What you will learn
- Core concepts of Data Engineering, namely the difference between data mining vs. data visualization vs. data analysis with a focus on data mining.
- What is Apache Superset and how is it different from paid business intelligence (BI) tools like Tableau, Power BI, and Looker?
- Detailed understanding of the Apache Superset architecture, focusing on the complete flow between components.
- Detailed exploration of Apache Superset and understanding what Dashboard, Charts, DataSets, and SQL Labs are.
- Installing Superset on both Docker and Kubernetes.
This course is suitable for people who:
- Data Enthusiasts, Beginners, Data Engineers, Data Scientists.
- Data Analysts, Business Analysts, Software Developers, Project Managers.
- Test Managers, Scrum Masters, Accountants, Share brokers.
- DevOps professionals and anyone who wants to learn a new topic.
Course details
- Publisher: Udemy
- Instructor: Kaushik Thakkar
- Training level: Beginner to advanced
- Training duration: 7 hours and 24 minutes
Course syllabus in 2025/6
Prerequisites for the Apache Superset – Explore Visualize Analyze – From Scratch course
- No programming experience needed. You will learn everything you need to know
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.2 GB
