Web Applications and Command-Line Tools for Data Engineering

О курсе

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.

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Учитесь у экспертов

Noah Gift

Executive in Residence and Founder of Pragmatic AI Labs

Kennedy Behrman

Senior Data Engineer

Alfredo Deza

Adjunct Assistant Professor in the Pratt School of Engineering