Apache Superset - Explore, Visualize ,Analyze - From Scratch

This course starts with the basics of Data Analytics world i.e. what is Data Exploration, Data Visualization and Data Analytics , how these 3 are closely related and what is the thin line between them. We explain what is Business Intelligence because Superset is widely used for Business Intelligence.

Then it shows how to install the superset with the help of Docker Desktop . We learn Docker Desktop installation steps as well.

We load the already available Examples in Superset, by following simple commands.

Once we are in Superset this course walks through each and every UI element in detail , explaining the end to end flow as well i.e. how Dashboarding <>Charting<>Dataset<>SQL work in tandem

We Learn the different charts in detail (first learning the categorization of charts)

We also learn how to connect to other Databases like Postgres and MySQL

We also upload our own dataset in form of Excel

We learn what is semantic layer and what are custom metrics and calculated columns.

We learn the Role Based Access System in Detail (with the local setup of Superset)

We learn how to setup some config settings, especially around how to enable the MapBox API and also how to setup the Max Row Limit.

Towards the end , I have also included how to setup Apache Superset on Kubernetes.

Finally a major block, if you are a DevOps or Tech Lead or anyone who wants to build a production like Environment , I have put the section on how to create a Superset - Production like environment using Python (and on Linux)