Don't take it. No Course Instructors, no help. Not worth the money...

Even the Working Platform is always timing out or has a gateway error.

A course recommendation for the devs:

https://www.coursera.org/lecture/writing-for-children/introduction-to-editing-and-proofreading-qtC7p

Week 5 final project SUCKED .. searching forums for 3 days with a URL that works ubtil it gets to 99% and fails. Really poor

Too fast paced, not very in-depth. Final project is full of spelling mistakes and not coherent with the course. Terrible.

This course is terrible - multiple typos, no support. Final project makes no sense. A total waste of time and money

The final project should have had more guidance and instructions in order to complete in a timely manner.

The final assignment is impossible to do due to lack of information. Where is the database?

This was Python for beginners, the exercises couldn't have been missed even by a child

No way someone without Python experience writes the final assignment code unassisted.

Not very good, course materials do not match final project deliverables.

lacks rigor and the assignments were way tooo easy....!! thumbs down!!

I just paid money to let IBM market their cloud services to me.

the last test to pass course nothing is taught about it

Really poor course, and not well explained at all.

Vague assignments- almost everyone gets stuck.

The last assignment is very bad explain

Final Assignment is very confusing

I recently completed the Python for Data Science, AI & Development course on Coursera, and I have to say it was an excellent introduction to Python programming — especially for anyone aiming to start a career in data science or AI. The course structure is very clear and beginner-friendly. I really liked how it starts with Python basics and gradually moves into using libraries like Pandas, NumPy, and Requests, which are essential for real-world data work. The hands-on labs and Jupyter notebook exercises were the highlight — they helped me apply what I learned immediately, rather than just reading or watching videos. Although the course title mentions AI & Development, it mainly focuses on Python fundamentals and data handling, not advanced AI algorithms — which is actually fine for a foundation course. It gave me a strong base in Python and helped me understand how coding fits into data science workflows. Overall, I’d highly recommend this course to beginners or anyone who wants to strengthen their Python skills before diving into machine learning or AI. The teaching style, practical examples, and IBM’s professional approach make it a great starting point for anyone interested in data-driven careers. ⭐ Rating: 4.7 / 5 A must-take if you’re starting your journey in data science and want a solid foundation in Python.

I think it is very good course to start data science with python. Modern methods and python libraries for data manipulation are included.

But as course was first created at 2017, there are some small parts of IBM Cloud setttings has been changed. This makes misunderstanding at week 4, then you need to use cloud servises.

Fortunately I understood that services became simpler. But I ask creators to fix the "creating project" part.

The course effectively covers the essential Python skills needed for data engineering. The content is comprehensive, and the hands-on projects reinforce the learning. The instructors' explanations are clear and guiding. I recommend this course to anyone looking to gain knowledge in data engineering.

Very good course, you can gain a lot of knowledge through well explained videos and labs.

One small issue though. There's a reference in the final Lab to a tutorial called PROVISIONING AN OBJECT STORAGE INSTANCE ON IBM CLOUD. This tutorial was not previously mentioned at all throughout the course.

This part of the professional certificate was a little bit challenging for me. It discussed more technical stuff than the previous three parts. I liked it because it made me feel like I know significantly more about python now than before. Great!

This is a great course for learning python and getting the most in terms of fundametals of data sciences and the language itself. Highly recommend it to anyone interested in Data analysis and Data Science ,Data Engineering.

this is the touch week for me cos there is getting trouble in creating storage , bucket and credential on ibm cloud. Finally I passed the steps and got the certification. Actually very experience week.

The course was indeed helpful to learn Python, made it very simple. Though the final test had question which was not very detailed - like I was not clear where to get the GDP data for US etc.