Explanations of Python code was read like a list of definitions without meaning or context. Labs did little to reinforce learning and instead served as duplication of videos. There was zero exploration / discussion of "why" on anything.

I think the course is missing some of the detailed work on Python loop operations, which can be ignored if more practice afforded in the next few courses within the Profficional certificate program. and thank you for all the effort.

There were a few coding errors in the labs. It really detracted from the experience. However, I would imagine that a good amount of time will be spent fixing code for other people, so the experience was justified to that direction.

The first half of the course was easy to follow but in the second half of the course it felt like there were several knowledge gaps. However, overall the course managed to impart the basics of Python and get me eager to learn more.

This course was difficult. I felt that in the sequence of this certificate I went in degree of difficulty from 3 to 9. I had to spend many more hours on it repeating the infomation because it assumed I understood the terminology.

A few items are very technical, those without prior coding knowledge will not understand it. I suggest reading some basic programming concepts to understand this.

I have a brief idea on linux and python, so i could scrape through

it may be in more detail and informative pandas library are very difficult to understand in this lecture series try to do that it more easy way and do some example and all....

thank you so much....otherwise course is very much good

I don't think the hands on labs really helped due to the fact that the code was already entered in the input boxes. I think there needs to be blank input boxes and have students fill them in with the option to view the solution.

The course covers the basic, but the pacing is very erratic and some concepts aren't given nearly enough attention. Alo the code formatting throughout is terrible and does not conform to Python standards as expressed in PEP 8.

Please provide better instructions for graded assignments, and please include relevant video or tutorial sessions on topics presented in the homework (many topics were newly introduced and confusing for beginner programmers).

I definitely learned a lot through this course. It could be confusing at times and I feel like some of they examples they could have used different variables to make it not so confusing. Overall good intro and course though.

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....

Videos 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.

Not enough hands-on exercises to retain information. In many of the videos, concepts are skimmed over without fully giving time to absorb them. The volume of the woman speaking was very inconsistant from video to video.

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.

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