Although an adequate introduction to Python, this course needs improvement. The videos in particular need to be redone so that sufficient time is given to explain these concepts instead of moving at breakneck speed.

The videos, labs and quizzes did not support one another. I feel like the material tested was not covered well. It would have been helpful to have examples in the labs that helped put into practice what was tested.

Content was great. The way it was taught and tested was a bit choppy. Lots of errors in the video and beginner programmers would have a heck of a time completing the final assignment. You should tighten that up.

I found week 3 and onwards to be quite difficult and not at all at a beginner level. The explanations were too fast skimmed over the information, i had to go back and re-review and pause each video several times.

'Python for data science' is best for beginner like me. I learned to work on basic tools of python like list, tuple, loop then pandas and numpy (1D & 2D). Cognitive Labs for these were great source of knowledge.

After viewing datacamp courses this course needs to be stronger to be named like this. IBM! You can do better. The last module was the worst. Most of the labs' codes are not for beginners and not even explained.

It would be a good course except for the IBM Watson tangent it takes. I was not able to sign-up for Watson and wasted a lot of time for no apparent reason. Otherwise good mix of theory/practice on Python basics

Online videos are fine. But I wrote very little code and I am not satisfied with the active learning part. On top, TA's answers on my questions or other questions were inadequate or there were no replies at all.

The course is good and it explained fundamentals simply and in a good way. but there are some important parts that was not explained such as potting libraries, it was prepared for students of the class to use.

I think the course is too hard to understand for some beginners like me, it takes too much time for me to replay each video. There is also some syntax that wasn't told in the video but appeared on Hands-on.

The specialization covering this leads into having to purchase a cloud account, I would say this course is great for learning python, but the specialization is horrible because it seems to be a money trap.

As a beginner, this course was quite tough to follow. I felt like all of the concepts should have been covered a bit more extensively. The end assignment was quite daunting but in the end it was manageable.

The course material is great. As for the submission portion, I think it can be better structured. The course doesn't cover dashboards yet some knowledge of them is required in order to submit the assignment

It would be nice to have a summarization video before the quizzes. This course is covering a lot of ground in between weeks and it is easy to forget things or get wires crossed over the course of a "week"

Really easy, even for a beginner. It doesn't challenge a learner to learn more on his own. Assignments are like spoon-fed to the learner. There is a strong need to add better and challenging assignments.

Everything about the course was good apart from the final question in week 5. A lot of people had problems with this because it was too confusing. It really needs a video, or explanation on how to do it.

This course assumes some base knowledge, which can be challenging for someone who's inexperienced. Also, the final project includes some coding that wasn't covered in the course, which can be confusing.

Good course. However the current IBM watson environment differs from the course instructions. Thats making it more of a trial and error path to end up at the same place as the instructions tell you to.

Some of the answers were wrong in the course. Pretty good course for the beginners but not that on spot. And the interactive labs were just the video courses. Maybe a bit more. Not really that useful

It seems, somewhere, as some steps are missing and the courses are organized by different person with different fastness and diffciculty level.

I had difficulties to follow the upgrades of the weeks.

The content are not easy. you need to read more from outsources to increase the knowledge. Then as a second step, you need to practice a lot. Third, without practice you can not increase your skills.

I observed mistakes here and there, there are no proper instructions. instructors don't answer in the forums. you will have your questions unanswered fro weeks. course content could be much better.

The beginning of this course was pretty solid, but it got progressively more shallow as the course went on. I'm disappointed because I feel like the more advanced topics were kind of glossed over.

Sir, Mainly I was looking for NUMPY and PANDAS but I could not find that much content in the same. After completing this course I am not able to remember and apply pandas and NumPy any library.

I like the choice of topics, makes sense from the beginning.

However the labs are too easy and repetetive, would be prefer to have to write the code myself based on what I learned in the videos.