Python, Bash and SQL Essentials for Data Engineering (Duke University Coursera Specialization)

2026-04-17 · 4min · Pragmatic AI Labs

Table of Contents

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.

Do you want to learn Scripting with Python and SQL for Data Engineering?

Learn essential data engineering skills through practical Python scripting and SQL database management. Master web scraping, data processing, and database operations while building real-world data engineering solutions.

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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

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

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