This is a nice introduction, but it's much more useful if you (1) have a background in statistics and (2) use a textbook with problem sets in tandem.

Good course for building foundations in python. Take this course before going ahead in this specialization if you are new to data science and python.

El material me parece excelente. Las preguntas para las evaluaciones están bien pensadas, aunque poco exigentes. Los videos fueron muy didácticos.

Great course for python beginners. Just felt could be a little more smoother process. Just felt, those IBM related things were excessively promoted.

there were some technical problems that reduced my overall grade even when it wasn't my mistake.

but I got a lot to learn from the material provided

A very basic course. Although we were being taught a lot of new things in this course but still a more in-depth knowledgeable videos were mossing.

It's not for a true beginner but with extra effort to break down the information and practice the skills, a beginner can successfully complete it.

good explanation for the Python basics, a good overview on Data Analysis and the related Python libraries, not too deep, but a good introduction.

This was a awesome journey. I felt real interests in apis and already started working on a project. Thanks a ton for providing for such resourse.

This course gives good understanding of the python basics needed in data science and a good introduction to the python libraries pandas and numpy

Its Very Easy to get in start but in the last week its like blast, suddenly Every thing gets tough.

Try going to it at least twice for the week 5

Course content is good, but i was able to find out few spelling mistakes and for one quiz i was marked wrong even though i selected right answere

I enjoyed this course. I already knew most of the content regarding the basics of python but it was a good refresher. The labs were interesting.

I thought it was a really good course. The only negative for me was the Watson part, I was mostly looking for just Python and common libraries.

I really liked this course. It gave a quick review of python with examples and practice exercises, but I wished it had more.

It is to the point.

It's a good introduction , but the final assignment is not about the lessons. The idea is to practice your learnings, so you should change that.

Course would be better with more indept knowledge on the topic. I have to do lots of research than this courseware. Many thanks for the course.

the course contain a lot of knowledge from very basic to advance . But the contents are not clearly understand and not easy to catch up as well

It was a challenging course! I learnt a great deal about python programming which also means that I need to keep practicing to hone my skills.

Excellent design of the course, with video, extra practice, quiz and assignments. only problem is with the IBM platform. It is not easy to use

This course was excellent. There is a Good concept explanation. It is understandable. Thank you, IBM, for accepting me in your course program.

Though the course content is good, but the labs don't work most of the time. If possible do try to fix the loading times of the lab notebooks.

The dashboard function code wasn't working, Also, if it is going to be included in the assignment, then there should be a video on it as well.

It was my first approach to python. It was good, how ever the labs after week 3 are very complicated for a person who is starting in python.

Videos have so many errors. The course is good for the beginners but doesn't have much to offer to those who are already familiar with Python