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Guides and tutorials on Metabase, analytics, data modeling, and more.
Start hereGetting started guides
Start here to get the basics of how to find your way around Metabase.
Metabase basics
Level up your Metabase skills.
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 15 moreQuerying 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 Multi-level aggregation 2 min Searching in tables 5 min Cleaning and formatting text 7 min 12 moreAdministration
Guidance on running and administering Metabase at scale.
Admin overview 4 min How to run Metabase in production 8 min Managing people in Metabase 6 min Guide to sharing data 6 min Keeping your analytics organized 7 min Multiple environments 2 min 17 moreEmbedding
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 12 moreGrow your data skills
Learn more about working with data.
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 12 moreDatabase 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 13 moreStrategies for analytics
Guidance on data analysis, modeling, and making better data-driven decisions.
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 13 moreContinue learning
More ways to learn about working with data.
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