Course Outline

Introduction

  • Metabase vs Superset vs Tableau
  • Overview of Metabase features and components

Getting Started

  • Installing Metabase
  • Setting up an account
  • Connecting the database
  • Exploring the UI and tools

Querying Data

  • Adding a question (simple and custom)
  • Creating explorable charts
  • Using custom expressions
  • Joining tables in Metabase
  • Aggregating multi-level queries

Working with SQL

  • Writing SQL queries (native query)
  • Creating filter widgets
  • Adding smart filter widgets
  • Working with dates in SQL
  • Using SQL snippets
  • Simplifying queries with CTEs
  • Organizing SQL codes (snippets, saved questions, views)
  • Combining tables with joins

Building Visualizations and Dashboards

  • Choosing a chart type
  • Customizing visualization settings
  • Setting up and configuring dashboards
  • Making dashboards interactive
  • Adding dashboard filters
  • Best practices and tips

Analyzing and Managing Data

  • Using time series comparisons
  • Building a customer lookup tool
  • Delivering customer-facing analytics
  • Embedding charts and dashboards to websites
  • Other use cases and examples

Common Issues and Troubleshooting

Summary and Next Steps

Requirements

  • An understanding of data analytics and database concepts

Audience

  • Data analysts
  • Data scientists
  14 Hours
 

Need help picking the right course?
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Testimonials

The second day was very interesting. It was a good training to see some possibilities within Power BI; but mostly you learn then while you work with Power BI. Fact is also that the training base has all access rights and everything works, but as soon as you try to connect to the live system, it does not work and this makes the knowledge transfer a bit difficult.

Marco Iuliano

some of the best practices on charts

AIG SHARED SERVICES-BUSINESS PROCESSING, INC.

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