Mark Freeman

AUTHOR • EDUCATOR • BUILDER

Mark Freeman is a published O’Reilly author, keynote speaker, and LinkedIn Learning instructor (40k+ students) on the topics of data science and engineering. He applies this expertise as an early stage startup operator where he has put AI into production for customer facing products as well as led GTM for AI companies.

Mark Freeman
Mark Freeman speaking into a microphone at a live event

LinkedIn Learning • Mark Freeman

Courses

Courses on data engineering and data quality, from core concepts to hands-on work.

Data Engineering with dbt

Set up a dbt Core project, build and test models, document your work, and deploy with GitHub Actions.

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Data Quality: Core Concepts

Explore the dimensions of data quality, the data lifecycle, and the tools that connect quality initiatives to business outcomes.

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Data Quality: Analytics and Serving

Investigate data quality issues with SQL and dbt tests, find their root causes, and communicate what needs to change.

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Data Quality: Transactions, Ingestions, and Storage

Explore data quality across transactions, ingestion, and storage, including PostgreSQL and the write-audit-publish pattern.

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