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Learner Reviews & Feedback for Introduction to Data Engineering by DeepLearning.AI
466 ratings
About the Course
In this course, you will be introduced to the data engineering lifecycle, from data generation in source systems, to ingestion, transformation, storage, and serving data to downstream stakeholders. You’ll study the key undercurrents that affect all stages of the lifecycle, and start developing a framework for how to think like a data engineer. To gain hands-on practice, you’ll gather stakeholder needs, translate those needs into system requirements, and choose tools and technologies to build systems that provide business value. By the end of this course you’ll be spinning up batch and streaming data pipelines to serve product recommendations on the AWS cloud!
Top reviews
JF
Oct 27, 2024
High level overview is great! But I wish the lab should involve hands-on application, and not just following instructions
BP
Oct 19, 2024
I appreciate the addition of the DE mental framework as it gives a whole lot of context to the more practical knowledge that will be learned in the next courses.
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101 - 104 of 104 Reviews for Introduction to Data Engineering
By Andre S
•Jul 22, 2025
Worst Practial Labs so far. Doesnt work properly and fails often.
By April S
•Dec 31, 2024
The instructor skipped some instructions. There was also mis-spelling. I will not be completing this certificate through Coursera.
By Nanne O
•Dec 14, 2025
extremey bad, both technology as labs
By Papa S D
•May 17, 2025
Disappointed.