Applied Python Data Engineering (Duke University Coursera Specialization)

Three courses covering applied Python data engineering — the big-data stack (Spark, Hadoop, Snowflake), the platform layer (Docker, Kubernetes, virtualization), and production-grade data visualization. Duke University's pragmatic bridge from Python scripting to data platforms.

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What You Will Build

Spark jobs that scale across clusters, Snowflake-backed analytics pipelines, containerized data workloads on Kubernetes, and publication-quality Python visualization dashboards.

Courses in This Specialization

1. Spark, Hadoop, and Snowflake for Data Engineering — The distributed-computing and warehousing stack every data engineer needs.
2. Virtualization, Docker, and Kubernetes for Data Engineering — Containers and orchestration for reproducible, scalable pipelines.
3. Data Visualization with Python — Matplotlib, Plotly, and Python-native dashboarding.

Who This Is For

• Python engineers moving into data engineering
• Data analysts scaling beyond single-machine pandas
• Platform engineers productionizing data workloads

Related Specializations

• Python, Bash and SQL Essentials for Data Engineering — the scripting foundations this builds on
• Building Cloud Computing Solutions at Scale — cloud deployment context
• Enterprise AI and Data Engineering with Databricks — lakehouse-native data engineering