Python, Bash and SQL Essentials for Data Engineering (Duke University Coursera Specialization)
2026-04-17
Four courses covering the three languages every data engineer writes daily — Python and pandas for data manipulation, Linux and bash for the command line, Python+SQL for scripting real pipelines, and the web apps and CLI tools that wrap them. Duke University's foundations for a data engineering career.
What You Will Build
Pandas-driven ETL jobs, bash automation for Linux data workflows, Python+SQL scripts for real warehouses, and the web apps and CLIs your team will actually use.
Courses in This Specialization
- Python and Pandas for Data Engineering — The pandas API, vectorization, and idiomatic data-engineering Python.
- Linux and Bash for Data Engineering — The command line and shell scripting that underlies every pipeline.
- Scripting with Python and SQL for Data Engineering — Bridging Python and SQL for production ETL.
- Web Applications and Command-Line Tools for Data Engineering — Wrapping pipelines in FastAPI, Click, and deployable tools.
Who This Is For
- Students starting a data engineering career
- Software engineers pivoting to data
- Analysts who want to own the full pipeline
Related Specializations
- Applied Python Data Engineering — the big-data follow-on
- Building Cloud Computing Solutions at Scale — cloud deployment for these pipelines
- MLOps | Machine Learning Operations — MLOps path these feed into