Introduction
What is analytics engineering?
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Prerequisites for the course
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1. Why Analytics Engineering?
How the field of data has changed in the last couple of years
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How did analytics engineering come to be?
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Where do analytics engineers come from?
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What skills are needed for analytics engineering?
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2. Data Modeling
What is data modeling?
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Cloud data warehouses: Snowflake
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Data pipeline tools: DBT
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Business intelligence (BI) tools: Looker
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Challenge: Build a simple data model
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Solution: Build a simple data model
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3. Software Engineering Best Practices
Using Git
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Version control and testing
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Challenge: Add a pull request
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Solution: Add a pull request
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4. Documentation and Communication
Writing documentation
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Communicating with the business team
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Challenge: Writing documentation
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Solution: Writing documentation
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Conclusion
Wrap up and consider the analytics engineer role
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