Data Engineering

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Python Project for Data Engineering (Coursera) Coursera
IBM

Python Project for Data Engineering (Coursera)

Embark on a practical journey to become proficient in Python data engineering with this comprehensive course. Learn how to collect, transform, and load data from diverse file formats and web sources into a unified dataset for analysis. Through engaging labs and real-world applications, you'll develop the skills needed to extract valuable insights from large datasets using Python.

Aug 31st 2026
1 Week
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.

Aug 31st 2026
4 Weeks
Python for Data Engineering Project (edX) EdX
IBM

Python for Data Engineering Project (edX)

Embark on an exciting journey into data engineering with our Python for Data Engineering Project course. Designed for those who have a basic understanding of Python, this course offers hands-on experience in working with data. You'll learn how to extract data from various sources, transform it using Python techniques, and prepare it for loading into databases.

Self Paced
Self-Paced
Apache Spark for Data Engineering and Machine Learning (edX) EdX
IBM

Apache Spark for Data Engineering and Machine Learning (edX)

Dive into the world of big data processing and machine learning with our introductory course on Apache Spark. Whether you're new to data engineering or looking to enhance your ML skills, this course provides a hands-on approach to understanding and applying Spark's powerful capabilities in Structured Streaming, Extract-Transform-Load (ETL) processes for Machine Learning pipelines, and Spark ML techniques.

Self Paced
Self-Paced
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