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.

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

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

Very useful to learn.

I have learnt many things about the basics of Python

Labs are helpful, but requires a lot of self-studying. Videos are so so.

It was wonderful course which covered important topics for data analysis.

Very Good Course for Beginners, Step by step guide and examples provided.

The instructions in the API Laps in connection with IBM could be clearer.

Good Course for beginner to Professional type conversion in data science

Very good explainations but was unable to complete few external API labs

Week 4 and Week 5 are to steep for beginners and seem very unstructured.

I complted the course ,But the badges are not given yet why we dont know

I have been largely benefited from this IBM Data Science Specialization.

Great teaching methodology!Really helped me a lot starting from scratch.

Its is a good course highly recommended but also explain the programming

Well designed syllabus and explanation to all the topics were very good.

It will clear the basics required for basic data analysis using python