If you are a beginner don't be afraid it's easy. If you have some experience with web scrapping or you had used python libs like pandas this will be repeated for you

This course provided me with state-of-the-art knowledge of AI applications for Data Science, accompanied by practical examples and programming exercises and quizzes.

This is an excellent course to learn Python for Data Science. All course materials including lab exercise and practicing on IBM Cloud are awesome.

Ashfaqul A. joarder

This course is a great one honestly with lots of interesting projects. and it is a good starting point for anyone who want to pursue a career in Data science and AI

This course explains the python easier than anyone can explain. I have learnt python from many teachers but this course has something more you want. Must try it out

Thank you for the financial aid. This course is very helpful to understand the content in a easier way. Now I am confident enough to answer the interview questions.

Good introductory course for independent learners. Well organized in the Jupiter notebook environment with references to resources for further mastering the skills.

If you want to get started with Python, this is indeed a great course. This course covers the basics of Python and the techniques of using Python for Data Analysis.

It was very easy for one who already have studied python before. It would be more fun if it would have been more difficult. But, overall it was fabulous experience.

although the learning materials are good, the labs should be at least explained thoroughly in simple terms and there should be step-by-step instructions in coding.

Course curriculum is designed in a best way . Labs are helpful for the peers to implement their knowledge and gain practical knowledge .This course helped me a lot

I think this course has some of the best Python introductions! The method used here with colorful schemes is a great way to learn some abstract concepts in Python.

This course was an amazing and fun introduction to Python for Data Science. One could learn how to expand applications from one domain to another quickly and easy.

I'm completing this as a pre-request - _ would prefer if there were more indepentent assignments to achieve something interesting - I found this course very dull.

I have learned a lot in this course.

A detail program in which i learn not only the basic of python programming but also how to implement it in real life projects.

It was a very complicated course, but I enjoyed it because it was interesting as well. I believe this course will help anyone who want to be a good and skill DA.

Muy buen curso para aprender Python desde cero y comenzar tu carrera en Data Science, AI y Development.

Muy recomendado para aquellos que quieran aprender Python.

Alhamdulillah , I Completed the Pyhton for data science course in coursera and they teach very well, thanks to All respected teacher and GOD bless them always..

This is a very exceptional course. Though it starts with basics of python, it has taken nice turns and led to very important concepts. Thankyou for this course.

This was a great introduction not only to Python for Data Science, but also to Jupyter Notebooks and the IBM Cloud platform. I am completing the specialization.

This is where the certificate series gets real and it is a lot of information but was definitely the module where I decided that I would definitely be finishing.

This course was amazing and I've learned most of the Python basics froT this course thanks coursera for this amazing platform where we can learn .Thank you !!!

u made me really pissed off this course made me mentally handicapped phyically no need to say thanks for this beautiful course helped me to piss off in my pants

With ease and clear cut instruction, I learn the basics of python without hassle. Anyone who wants to start a fundamental course of python should join this one!

This course was excellent. I really enjoyed it and got some great, practical experience. I'm looking forward to the other Python courses in this specialization.