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About This Course

A professional data engineering pathway covering advanced SQL, Python ETL, data modeling, orchestration, data quality, APIs, warehouses, batch and streaming concepts, cloud storage, governance and observability. Learners deliver a documented analytics pipeline capstone.

What You'll Learn

• Model analytical data; build ETL/ELT pipelines; validate data quality; orchestrate workflows; use cloud storage and warehouses; monitor and document pipelines.

Career Opportunities

• Junior Data Engineer; ETL Developer; Analytics Engineer; Data Platform Associate; BI Engineering Assistant.

Prerequisites

• Comfort with spreadsheets; basic SQL or Python is recommended.

Who Should Take This Course?

• Data analysts, developers and professionals transitioning into data engineering.

Certificate Information

Certificate of Completion in Cloud Data Engineering & Analytics Pipelines.

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