It was alright but the parts about webscaping and api calls felt kind of rushed

The flow of the course is really fast and not really descriptive for beginners.

A good and informative course with Python foundation and Data Science concepts.

Good intro to Python for beginners. Course should be renamed "Python Basics".

Good background course, useful labs to test out various language capabilities

All topics of Pandas and Numpy are not covered. The lectures on API are brief.

I think it should have more exercises and they should be a bit more difficult.

This course was a nice introduction to some of the tools used in data science.

Good explanation, however could have elaborated more on a few important topics

This course is best for anyone to start career in data science using Python..

This is a great course to start your journey in Data Science or related field

Very Well designed course. Learned lot of concepts in a short period of time.

Quite a bit of this course was repeat for me, but none the less a good intro.

This is a great course and a section of Watson architechture can be included.

The course gave me a good hang of Python as a scripting tool for Data science

This course was too useful.I have learnt many more things here.it was agreat

I would like more exmaples and in some cases the explanation in more detail

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