This course introduces the core concepts and practical skills required to build modern data pipelines using Snowflake. Students will learn how data engineers ingest, transform, model, and prepare data for analytics in cloud data platforms. Through hands-on labs and a real project workflow, participants will gain experience working with datasets, building transformations, designing schemas, and understanding how data moves from raw sources to analytics-ready structures.
What you will learn:
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Set up and work with a Snowflake data engineering environment
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Understand core data engineering concepts and Snowflake architecture
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Explore and analyse a real-world project dataset
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Build data transformations using SQL
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Design data models for analytics
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Apply schema design and normalization concepts
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Understand how engineering work moves from classroom projects to workplace pipelines
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Learn production considerations and data pipeline thinking
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Build a simple analytics layer from engineered datasets
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Complete a final project implementing an end-to-end Snowflake workflow
