BI and Data Visualization with Apache Superset
Master Apache Superset to harness the full potential of your data. This course guides you through its installation, interface navigation, data connectivity setups, visualization creation, dashboard configuration, advanced analytics techniques, security fundamentals, scalability options, and much more.
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Corporate Pricing
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Features
Subsidies
What you'll learn
- Understand the core functionalities of Apache Superset in business intelligence.
- Install and configure Apache Superset correctly while addressing common setup issues.
- Connect to multiple databases and set up diverse data sources.
- Create basic to advanced visualizations and interactive dashboards.
- Navigate the user interface efficiently and customize it according to organizational needs.
- Engage with the Apache Superset community for ongoing learning and support.
- Implement robust security measures and optimize performance.
- Integrate Apache Superset with external tools and manage complex deployments.
Why should you attend?
Apache Superset is a powerful Business Intelligence (BI) tool that allows users to explore, visualize, and share data insights effectively. This course offers a deep dive into the functionalities and applications of Apache Superset, starting with its role in BI and data visualization. Participants will learn about the distinct features and benefits of Superset, comparing it with other BI tools to understand its unique advantages. The course progresses through detailed instructions on installation, configuration, and troubleshooting of Superset. It then introduces the user interface, emphasizing navigation, customization, and key components essential for effective use. As learners become comfortable with the environment, they will explore how to connect Superset to various databases using SQLAlchemy, setting up data sources for further analysis. Further sections cover practical skills in creating SQL queries within SQL Lab, utilizing metadata explorers, and applying filters for robust data exploration. The course also includes comprehensive training on building visualizations and dashboards from simple to advanced levels, incorporating interactive elements for dynamic reporting. Advanced modules discuss SQL techniques, security measures, scalability solutions, and integrating external tools to enhance functionality and performance within organizational contexts.
Course Syllabus
Day 1 - Superset Introduction & Setup
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Interface & Data Connectivity
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - SQL Lab & Visualizations
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Day 4 - Dashboards & Advanced Charts
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 4
Ratings and Reviews
Instructor
Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'
Instructor Reviews
Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert.
Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.
I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for.
FAQs
Courses you may like
Why should you attend?
Apache Superset is a powerful Business Intelligence (BI) tool that allows users to explore, visualize, and share data insights effectively. This course offers a deep dive into the functionalities and applications of Apache Superset, starting with its role in BI and data visualization. Participants will learn about the distinct features and benefits of Superset, comparing it with other BI tools to understand its unique advantages. The course progresses through detailed instructions on installation, configuration, and troubleshooting of Superset. It then introduces the user interface, emphasizing navigation, customization, and key components essential for effective use. As learners become comfortable with the environment, they will explore how to connect Superset to various databases using SQLAlchemy, setting up data sources for further analysis. Further sections cover practical skills in creating SQL queries within SQL Lab, utilizing metadata explorers, and applying filters for robust data exploration. The course also includes comprehensive training on building visualizations and dashboards from simple to advanced levels, incorporating interactive elements for dynamic reporting. Advanced modules discuss SQL techniques, security measures, scalability solutions, and integrating external tools to enhance functionality and performance within organizational contexts.
What you'll learn
- Understand the core functionalities of Apache Superset in business intelligence.
- Install and configure Apache Superset correctly while addressing common setup issues.
- Connect to multiple databases and set up diverse data sources.
- Create basic to advanced visualizations and interactive dashboards.
- Navigate the user interface efficiently and customize it according to organizational needs.
- Engage with the Apache Superset community for ongoing learning and support.
- Implement robust security measures and optimize performance.
- Integrate Apache Superset with external tools and manage complex deployments.
Course Syllabus
Day 1 - Superset Introduction & Setup
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Interface & Data Connectivity
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - SQL Lab & Visualizations
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Day 4 - Dashboards & Advanced Charts
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 4
Instructor Reviews
Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert.
Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.
I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for.
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructor
Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'
FAQs
Courses you may like
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