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Description

Apache Superset is a modern data exploration and visualization platform. Apache Superset is a modern, enterprise-ready business intelligence web application. It is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple pie charts to highly detailed geospatial charts.
One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task,
Apache Superset
! The top technology companies like
Google, Facebook, Netflix, Airbnb, Amazon, NASA,
and more are all using
Apache Superset
!
Introduction
Apache Superset
Apache Superset Architecture
Installation
Ubuntu (Linux)
Connecting to Database
Install Database Drivers
Database Connection String
Access Database table in Apache Superset (MySQL)
Enabling Upload a CSV
Obtaining & loading data
Table Visualization
Creating Chart and Dashboard
Line Chart
Bar Chart
Area Chart
Time Series Bar Chart
Pie Chart
And many more charts
Frequently asked Questions
FAQS for Apache Superset
Superset provides:
An intuitive interface for visualizing datasets and crafting interactive dashboards
A wide array of beautiful visualizations to showcase your data
Code-free visualization builder to extract and present datasets
A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
Out-of-the-box support for most SQL-speaking databases
Seamless, in-memory asynchronous caching and queries
An extensible security model that allows configuration of very intricate rules on who can access which product features and datasets.
Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
The ability to add custom visualization plugins
An API for programmatic customization
A cloud-native architecture designed from the ground up for scale
Take your
data visualization and analytics
skills to the next level with
Apache Superset
, the open-source powerhouse for interactive dashboards and business intelligence. In today’s data-driven world, organizations rely on quick, insightful, and visually compelling reports to make critical decisions. Superset makes this possible—turning raw data into actionable insights with stunning visualizations that are easy to build and share.
This course is your
ultimate guide to mastering Apache Superset
, whether you’re a beginner or an experienced data professional. Through a
hands-on, project-based approach
, you’ll learn to create dynamic dashboards, connect to various data sources, and customize visualizations that deliver impactful stories to stakeholders.
What You'll Gain:
Seamless Visualization Skills
: Master the tools to design and deploy professional-grade dashboards that bring data to life.
Time-to-Insight Advantage
: Learn to connect Superset with databases and quickly uncover insights that
drive business growth
.
Hands-On Projects
: Work on real-world scenarios to build your confidence in delivering powerful, data-driven solutions.
Who Should Enroll:
This course is perfect for:
Data Analysts & Business Intelligence Professionals
looking to enhance their reporting and visualization capabilities.
Data Engineers & Developers
who want to simplify data exploration and create impactful dashboards.
Entrepreneurs & Managers
aiming to make
data-driven decisions
and share insights effortlessly across teams.
Don’t miss the opportunity to transform the way you work with data. Enroll now to
master Apache Superset
and become a trusted expert in data visualization and analytics!
Who this course is for:
Business analyst, BI Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer
You should take this course if want to learn Apache Superset completely from scratch
Data Analysts & Business Intelligence Professionals looking to enhance their reporting and visualization capabilities.
Data Engineers & Developers who want to simplify data exploration and create impactful dashboards.
Entrepreneurs & Managers aiming to make data-driven decisions and share insights effortlessly across teams

What you'll learn

Understanding of basic architecture of Apache Superset

Installing and Configuring Apache Superset

Connecting to Database

Install Database Drivers

Access Database table in Apache Superset (MySQL)

Enabling Upload a CSV

Obtaining & loading data

Table Visualization

Creating Chart and Dashboard (30+ Charts)

Frequently asked Questions

Seamless Visualization Skills: Master the tools to design and deploy professional-grade dashboards that bring data to life.

Time-to-Insight Advantage: Learn to connect Superset with databases and quickly uncover insights that drive business growth.

Hands-On Projects: Work on real-world scenarios to build your confidence in delivering powerful, data-driven solutions.

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
4
1.1-Introduction to Course
1.2-What is Apache Superset?
1.3-Business Intelligence
1.4-Apache Superset Architecture
2-Installation and Configuration
12
2.1-Installation Discussion
2.2-Installing Apache Superset on Ubuntu 20.04 (Linux)
2.3-(Hands On) Step by Step Installing Apache Superset on Ubuntu 20.04
2.4-(Hands On) Step for Installing Apache Superset on Windows using Docker Desktop
2.5-Download modified commands for Apache Superset on Docker Desktop
2.6-Installing Superset Locally Using Docker Compose
2.7-Upgrading Superset (Optional)
2.8-(Hands On) Steps to Start and Stop Apache Superset on Ubuntu 20.04
2.9-Commands to Start and Stop Apache Superset
2.10-(Optional) How to run Apache Superset on Windows using Virtual Machine
2.11-Practice Apache Superset without Installing
2.12-Tips to Improve Your Course Taking Experience
3-Connecting to Databases
9
3.1-Databases supported by Apache Superset
3.2-Install Database Drivers
3.3-(Hands On) Connection to MySQL and view Data in Apache Superset Part 1
3.4-(Hands On) Connection to MySQL and view Data in Apache Superset Part 2
3.5-Commands for Connecting to MySQL from Apache Superset
3.6-Uploading CSV file Data into Apache Superset
3.7-Visualizing Uploaded CSV file in Apache Superset
3.8-(Hands On) Connection to Apache Drill and view Data in Apache Superset
3.9-(Hands On) Connection to HIVE and view Data in Apache Superset
4-Creating Charts and Dashboards
61
4.1-(Latest) Line Chart(Hands On)
4.2-(Old) Line Chart (Hands On)
4.3-(Latest) Big Number with TreandLine Chart (Hands On)
4.4-(Old) Big Number with TreandLine Chart (Hands On)
4.5-(Latest) Table (Hands On)
4.6-(Old) Table (Hands On)
4.7-(Latest) Bar Chart Legacy (Hands On)
4.8-(Latest) Bar Chart (Hands On)
4.9-(Old) Bar Chart (Hands On)
4.10-(Latest) Area Chart (Hands On)
4.11-(Old) Area Chart (Hands On)
4.12-Time Series Bar Chart (Hands On)
4.13-(Latest) deck.gl Polygon (Hands On)
4.14-(Old) deck.gl Polygon (Hands On)
4.15-(Latest) Pie Chart (Hands On)
4.16-(Old) Pie Chart (Hands On)
4.17-(Latest) Time Series Table (Hands On)
4.18-(Old) Time Series Table (Hands On)
4.19-(Latest) Pivot Chart (Hands On)
4.20-(Old) Pivot Chart (Hands On)
4.21-(Latest) Histogram (Hands On)
4.22-(Old) Histogram (Hands On)
4.23-(Latest) Big Number (Hands On)
4.24-(Old) Big Number (Hands On)
4.25-(Latest) deck.gl Scatterplot (Hands On)
4.26-(Old) deck.gl Scatterplot (Hands On)
4.27-(Latest) deck.gl Arc (Hands On)
4.28-(Old) deck.gl Arc (Hands On)
4.29-(Latest) Heatmap (Hands On)
4.30-(Old) Heatmap (Hands On)
4.31-(Latest) deck.gl Grid (Hands On)
4.32-(Old) deck.gl Grid (Hands On)
4.33-Dual Line Chart (Hands On)
4.34-(Latest) deck.gl Screen Grid (Hands On)
4.35-(Old) deck.gl Screen Grid (Hands On)
4.36-(Latest) Tree Map (Hands On)
4.37-(Old) Tree Map (Hands On)
4.38-(Latest) Box Plot (Hands On)
4.39-(Old) Box Plot (Hands On)
4.40-(Latest) Sunburst Chart (Hands On)
4.41-(Old) Sunburst Chart (Hands On)
4.42-(Latest) Sankey Diagram (Hands On)
4.43-(Old) Sankey Diagram (Hands On)
4.44-(Latest) Word Cloud (Hands On)
4.45-(Old) Word Cloud (Hands On)
4.46-(Latest) MapBox (Hands On)
4.47-(Old) MapBox (Hands On)
4.48-Calender HeatMap (Hands On)
4.49-(Latest) Nightingale Rose Chart (Hands On)
4.50-(Old) Nightingale Rose Chart (Hands On)
4.51-(Latest) Bubble Chart (Hands On)
4.52-(Old) Bubble Chart (Hands On)
4.53-Horizon Chart (Hands On)
4.54-(Latest) deck.gl Path (Hands On)
4.55-(Old) deck.gl Path (Hands On)
4.56-(Latest) Graph Chart (Hands On)
4.57-(Old) Graph Chart (Hands On)
4.58-(Latest) World Map (Hands On)
4.59-(Old) World Map (Hands On)
4.60-Country Map (Hands On)
4.61-Pivot Table v2 (Hands On)
5-HR Analytics Dashboard Project
21
5.1-HR Analytics Dashboard Project Part 1
5.2-HR Analytics Project
5.3-Data for HR Analytics Project
5.4-Data Details
5.5-HR Analytics Dashboard Project Part 2
5.6-HR Analytics Dashboard Project Part 3
5.7-New Settings for Charts due to upgrade in UI of Apache Superset Part 1
5.8-HR Analytics Dashboard Project Part 4
5.9-New Settings for Charts due to upgrade in UI of Apache Superset Part 2
5.10-HR Analytics Dashboard Project Part 5
5.11-New Settings for Charts due to upgrade in UI of Apache Superset Part 3
5.12-HR Analytics Dashboard Project Part 6
5.13-New Settings for Charts due to upgrade in UI of Apache Superset Part 4
5.14-HR Analytics Dashboard Project Part 7
5.15-New Settings for Charts due to upgrade in UI of Apache Superset Part 5
5.16-HR Analytics Dashboard Project Part 8
5.17-New Settings for Charts due to upgrade in UI of Apache Superset Part 6
5.18-HR Analytics Dashboard Project Part 9
5.19-New Settings for Charts due to upgrade in UI of Apache Superset Part 7
5.20-HR Analytics Dashboard Project Part 10
5.21-New Settings for Charts due to upgrade in UI of Apache Superset Part 8
6-Olympic Analytics Dashboard Project
19
6.1-Olympic Analytics Dashboard Project Part 1
6.2-Olympic Analytics Project
6.3-Data for Olympic Analytics Project
6.4-Data Details
6.5-Olympic Analytics Dashboard Project Part 2
6.6-Olympic Analytics Dashboard Project Part 3
6.7-Olympic Analytics Dashboard Project Part 4
6.8-New Settings for Charts due to upgrade in UI of Apache Superset Part 1
6.9-Olympic Analytics Dashboard Project Part 5
6.10-New Settings for Charts due to upgrade in UI of Apache Superset Part 2
6.11-Olympic Analytics Dashboard Project Part 6
6.12-New Settings for Charts due to upgrade in UI of Apache Superset Part 3
6.13-Olympic Analytics Dashboard Project Part 7
6.14-New Settings for Charts due to upgrade in UI of Apache Superset Part 4
6.15-Olympic Analytics Dashboard Project Part 8
6.16-New Settings for Charts due to upgrade in UI of Apache Superset Part 5
6.17-Olympic Analytics Dashboard Project Part 9
6.18-New Settings for Charts due to upgrade in UI of Apache Superset Part 6
6.19-Olympic Analytics Dashboard Project Part 10
7-Frequently Asked Questions
13
7.1-Can I join / query multiple tables at one time?
7.2-How BIG can my datasource be?
7.3-Why are my queries timing out?
7.4-Why is the map not visible in the geospatial visualization?
7.5-How to add dynamic filters to a dashboard?
7.6-How to limit the timed refresh on a dashboard?
7.7-What if the table schema changed?
7.8-What database engine can I use as a backend for Superset?
7.9-How can I set a default filter on my dashboard?
7.10-How do I get Superset to refresh the schema of my table?
7.11-Is there a way to force the use specific colors?
7.12-What Does Hours Offset in the Edit Dataset view do?
7.13-Bonus Lecture