Python for Analytics Engineers: From Scripting to Software Engineering
A comprehensive roadmap taking Analytics Engineers from writing basic scripts to building robust, high-performance data architectures using senior-level Python concepts.
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A comprehensive roadmap taking Analytics Engineers from writing basic scripts to building robust, high-performance data architectures using senior-level Python concepts.
A practical engineering guide to transforming ad-hoc scripts into robust, self-healing, and optimized data pipelines that can safely run in production.
Your ultimate guide to data modeling
A comprehensive blueprint for transforming your dbt project from scattered scripts into a production-ready data platform with clear naming conventions, robust testing, and engineering best practices.
A practical guide on applying rigorous econometric modeling to GA4 BigQuery data to uncover the true drivers of website performance.
A comprehensive guide to building, deploying, and automating a professional Jekyll website entirely in your browser using GitHub Codespaces, Firebase, and GitHub Actions.