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Duke University

Web Applications and Command-Line Tools for Data Engineering

In this fourth course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will build upon the data engineering concepts introduced in the first three courses to apply Python, Bash and SQL techniques in tackling real-world problems. First, we will dive deeper into leveraging Jupyter notebooks to create and deploy models for machine learning tasks. Then, we will explore how to use Python microservices to break up your data warehouse into small, portable solutions that can scale. Finally, you will build a powerful command-line tool to automate testing and quality control for publishing and sharing your tool with a data registry.

Status: Algorithms
Status: Jupyter
IntermediateCourse44 hours

Featured reviews

NW

Reviewed Jan 15, 2025

Fantastic course. Thanks for all teachers involved in writing this.

PR

Reviewed Feb 14, 2023

covered all the fundamentals can be little slower and detailed

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