Kennedy Behrman

Senior Data Engineer
Duke University

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Python and Pandas for Data Engineering (Coursera) Coursera
Duke University

Python and Pandas for Data Engineering (Coursera)

Embark on an essential journey into data engineering by mastering Python and Pandas in this introductory course. Designed for beginners and professionals alike, you'll learn to create a version-controlled Python workspace, leverage third-party libraries, and conduct advanced data analysis and manipulation with ease using Python and the versatile Pandas library.

Jun 22nd 2026
4 Weeks
Web Applications and Command-Line Tools for Data Engineering (Coursera) Coursera
Duke University

Web Applications and Command-Line Tools for Data Engineering (Coursera)

Dive into practical data engineering with our Web Applications and Command-Line Tools for Data Engineering course on Coursera. This specialized program builds upon foundational concepts to teach you how to apply Python, Bash, and SQL in solving complex, real-world challenges. Enhance your skills and become a proficient data engineer.

Jun 22nd 2026
4 Weeks
Spark, Hadoop, and Snowflake for Data Engineering (Coursera) Coursera
Duke University

Spark, Hadoop, and Snowflake for Data Engineering (Coursera)

Dive into the world of big data engineering with our expert-led course on Spark, Hadoop, and Snowflake. Whether you're an undergraduate student, high school enthusiast, or a professional looking to enhance your programming skills, this course is designed for you. Gain hands-on experience in creating robust and scalable data pipelines that are essential for modern data analysis.

Jun 22nd 2026
4 Weeks
Virtualization, Docker, and Kubernetes for Data Engineering (edX) EdX
AI (Pragmatic AI Labs)

Virtualization, Docker, and Kubernetes for Data Engineering (edX)

Dive into this comprehensive course that covers essential topics in modern data engineering: Virtualization, Docker, and Kubernetes. Whether you're new to the field or seeking to refine your expertise, this course offers hands-on experience with cloud environments, container orchestration, and best practices for deploying robust data engineering solutions.

Self Paced
Self-Paced
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