Transcripts could be better formatted. Some final exam questions have bugs.

Clear step-by-step explanation. Lack of clearance of the narration from TTS.

It was harder than I expected for a beginner, but I am glad I pulled it off.

wonderful. I learned so much and can now apply it to a wide range of ideas.

Very useful content from IBM as usual. Hands-on Lab can though be improved.

great course to get understand what u need to lean to get into data science

Good averall course that covers basics of python as a tool for data science

It was very good but it just feels like I will forget everything quickly...

Its ab interesting course.Got good exposure in python basics and in AI too.

Thank you so much for the course, it was very helpful for me as a beginner.

Thank you for the course! Please review the labs: there are a few misprints

It was a good course but I have to deduct a star for the machine voice over

I loved this course and got good exposure on python for Data science and AI

If we get access to instructor to get clarification then it will be helpful

Labs were the link to the lab environment is not working should be revised.

Quit good. Rational knowledge transfer. Could be more vivid in some areas.

It was a really nice foundational level course on Python and Data Science.

Wonderful Lectures and hands on examples helps a lot to improve the skills

Nice topics to learn how to use python. I liked to know about PyCoinGecko.

Text logs for videos would benefit from basic formatting and proofreading.

This course helped me to practise the basics of Python and harden my core.

You should include some examples on programming with python in the course.

very good qualitty interactive learnings. only a bit weird final assesment

the course is amazing, i think it just lacks some labs for web scraping .

It was a great learning oppurtunity from coursera.Once again thanks a lot