Learn

Getting started

Get up and running with Metabase in 30 mins with video tutorials. Learn to ask questions, build charts, create dashboards, and use the core tools effectively.

Find data 3 min Ask a question 4 min Create a dashboard 0 min Explore dashboards 3 min Filter and limit data 5 min Summarize data 5 min 3 more

Metabase overview

What Metabase is and how it can help you.

A tour of Metabase 7 min Metabase concepts 4 min Advanced Metabase features for data analysts 2 min Beyond BI: other problems you can solve with Metabase 4 min

Querying and dashboards

Identifying trends, building reports, setting up alerts, and more.

Create interactive charts 4 min Custom expressions 7 min Joins in Metabase 8 min Combining data from different databases 7 min Multi-level aggregation 2 min Searching in tables 5 min 26 more

Administration

Guidance on running and administering Metabase at scale.

Admin overview 4 min How Metabase works with your database 5 min How to run Metabase in production 10 min Managing people in Metabase 6 min Guide to sharing data 6 min Keeping your analytics organized 7 min 16 more

Embedding

How to share data with people outside your organization.

Strategies for delivering customer-facing analytics 7 min Publishing data visualizations to the web 11 min A Metabase mystery 8 min Multi-tenant self-service analytics 8 min Brand your Metabase 1 min Securing embedded Metabase 8 min

Working with SQL

Learn SQL basics and best practices

Best practices for writing SQL queries 13 min Working with dates in SQL 9 min Simplify complex queries with Common Table Expressions (CTEs) 7 min Combining tables with joins 8 min SQL join types 9 min How to calculate customer lifetime value (LTV) with SQL 7 min

Database fundamentals

Learn the basics of data and databases.

A short overview of databases 3 min Data types and metadata 2 min Database table relationships 4 min Measures and dimensions 3 min Analytics engineering for fact tables 18 min Data normalization 7 min 1 more

Strategies for analytics

Working with data in the real world.

Why you should regularly edit your dashboards 4 min Managing your information budget 2 min Don't use "data" as a crutch for lazy thinking 3 min Common data model mistakes made by startups 4 min Ten common analytics mistakes startups make 4 min The five stages of embedding grief 3 min 1 more