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Learner Reviews & Feedback for Web Applications and Command-Line Tools for Data Engineering by Duke University

4.2
stars
13 ratings

About the Course

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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1 - 4 of 4 Reviews for Web Applications and Command-Line Tools for Data Engineering

By Daniel H

Jun 12, 2022

Gute Kurse, Beispiele, Erklaerungen.

Bitte keine kostenpflichtige Software vorstellen.

Kurs war sehr hilfreich und kurzweilig

By jonathan s

Sep 17, 2022

thanks you

By Hong J P

Sep 2, 2022

This course is prepared a lot but below than my expectation.

Pro: Great instructor, Cutting-edge theme

Con: No homework project, simple test questions, too many videos (just showing how an teacher do something)

Especially, week 3, 4 section is like just watching YouTube lecture about CI/CD. They are tyring to teach a lot, but time is short, and lecture environment is too poor. I took other courses, about Statistics using R, and Java course. Both courses narrow lecture target well and include homework projects. Just watching how an instructor do CI/CD stuff was too boring.

By Danilo B R

Jan 29, 2023

I really don't like this course, I was waiting a lot more of it, this is hard to say because I love the course 2 and 3 from this specialization, they were one of the best courses that I take on coursera.

Pros: Demonstration of nice tools on week 1 & 2, week 4 give a good notion of argparse and click library

Con: Week 1 and 2 could be just one week, two weeks is too much for this amount of content. Week 3 is just not good, but someone already expressed their disappointment in the comments, I just agree. it seems more like the beginning of a specialization than the end of one. I was waiting at least a great final project to work on.