The final quiz doesn't pose data link in the assignment. Some people already have Studio account, don't need to follow the steps to open new account, had hard time to find data. Really cost me couple hours to find data....

V​ideos were way too fast and had to be watched mulitple times. The lab assignments didn't always align with the videos, were too complex for the knowledge of the course, and often had several instances that did not work.

There are several typos in the slides of this course. I hoped the final assignment would be more meaningful in the sense that it would evaluate the knowledge of students on large set of concepts learned in the course.

Good and quick run-through of essential python. Not five stars for many errors on videos. Practice Notebooks on CC labs had usually correct info, but many videos had frequent errors which could hinder understanding.

For someone with some experience in programming the course was light. But I have to admit if I didn't have any previous knowledge the labs would be somehow hard. It's a sudden jump. But overall a positive experience.

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.

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.

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

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.

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.