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Learner Reviews & Feedback for Python Project for Data Engineering by IBM

4.6

stars

803 ratings

About the Course

Showcase your Python skills in this Data Engineering Project! This short course is designed to apply your basic Python skills through the implementation of various techniques for gathering and manipulating data. You will take on the role of a Data Engineer by extracting data from multiple sources, and converting the data into specific formats and making it ready for loading into a database for analysis. You will also demonstrate your knowledge of web scraping and utilizing APIs to extract data. By the end of this hands-on project, you will have shown your proficiency with important skills to Extract Transform and Load (ETL) data using an IDE, and of course, Python Programming. Upon completion of this course, you will also have a great new addition to your portfolio! PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. NOTE: This course is not intended to teach you Python and does not have too much new instructional content. It is intended for you to mostly apply prior Python knowledge....

Top reviews

Aug 1, 2022

It was really well done and I found it difficult to complete. But I managed to complete it and it showed me my limitations and what I need to work on before moving onto the next course. Thanks a lot.

Jul 12, 2021

The rubric for grading is not correct for question 3. The instructions to the API questions is confusing. It asks for Country Name, but it seems that the quiz was looking for bank name.

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101 - 125 of 142 Reviews for Python Project for Data Engineering

By Roberto F S

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Apr 28, 2021

Excellent!

By Mohamed-doudou H A

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Jan 14, 2024

Excellent

By Aljawharah A

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Sep 2, 2022

very good

By Katele L

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May 24, 2022

Execllent

By Diego A v B F

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Oct 13, 2021

Amazing.

By Refah S A A

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Sep 9, 2022

perfect

By Hang T T

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Aug 7, 2024

great

By ĐẠT P M

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Nov 16, 2024

good

By muchu v

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Sep 19, 2023

good

By Angel S

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May 4, 2022

By AKASH A 2

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Mar 24, 2025

By Wijdan A

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Dec 20, 2021

The course was great but I found it a little bit hard to follow in the assignments, I used a lot of searching and googling to know how to use some of the functions or how to do some of the tasks. I spent more time on the tasks than the expected time BUT I learned a lot and I enjoyed it since I like programming!

By Aryan S

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Aug 6, 2024

I have just one suggestion: please use simpler code in the projects you provided, as I was able to complete them using much easier code than what you offered.

By Haseebullah A

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May 17, 2023

Really Nice. But it could be a little more advanced, which would feel like a Project. It was too basic.

By Sharif

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Oct 22, 2021

This may be irrelevant to this course but I need more exercises, to let me sharpen their new skill.

By David J

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May 19, 2023

Challenging and informative. Some difficulty interacting with the IBM Cloud unrelated to Coursera.

By Panagiotis B

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Jul 12, 2021

A well-structured course, but there were some misleading info in the labs.

By Basanagouda C

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Feb 14, 2023

it is helpful for how to extract data form json,csv,xml

By Siwei Z

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Jun 23, 2022

Good lessons, but I want more excercises, thanks.

By mark n

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Jun 23, 2024

Exceptional and good course worth every minute .

By Wathon A

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Nov 26, 2024

I really like specifically in project guideline

By 김준형

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Aug 2, 2022

I knew about ETL process in python.

By Smriti R

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Feb 25, 2021

The couse is good for beginners

By Faty M

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Feb 17, 2025

Excellent cours

By Luis A F C

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May 14, 2025

Good