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学生对 DeepLearning.AI 提供的 Introduction to Data Engineering 的评价和反馈

4.8
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479 个评分

课程概述

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!...

热门审阅

BP

Oct 18, 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.

PS

Oct 27, 2024

One of the best courses in the platform, it will guide you to the fundamental principles of data engineering and you'll build your first pipeline for stream and batch data

筛选依据：

101 - Introduction to Data Engineering 的 106 个评论（共 106 个）

创建者 Andres F G M

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Oct 7, 2025

The Lab of week 4 is something confusing

创建者 Ilya B

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Nov 22, 2025

I am extremely dissatisfied with my lab experience (Assignment 3): bad coding practices are being implemented, terraform init stopped working propertly, reboot doesn't reset the setup. No support from Coursera.

创建者 Andre S

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Jul 21, 2025

Worst Practial Labs so far. Doesnt work properly and fails often.

创建者 April S

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Dec 30, 2024

The instructor skipped some instructions. There was also mis-spelling. I will not be completing this certificate through Coursera.

创建者 Nanne O

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Dec 14, 2025

extremey bad, both technology as labs

创建者 Papa S D

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May 16, 2025

Disappointed.