Excellent course presented well and labs were good hands-on way to learn... Could have done without the Numpy sections tho... Once it started talking about adding/calculating vectors without explaining what they were, i had to skip over it... But rest of class was great

The quizzes could have been a little tough. Also, the course could have contained writing few programs, and also output like questions should have contained some complex and bigger codes..Quizzes were very very basic. Otherwise, course was fantastic.. Thank you so much

The Reason im giving it 4 stars is that they tried to teach basic python in very short period of time and with less explanation.

Im suggesting everyone should take "Python for everybody" OR "Python 3 programming" by University Of Michigan as prerequisite.

I like the project, practical orientation of the course compared to more academic approaches. The slides on

usage of the Watson Studio features and sharing could be improved. Spent more time messing with that than the programming. Seemed excessive

The cloud storage question on the final is just a ploy to get us to use IBM products and shouldn't be part of the grade. The course was a good pace and nice, slow introduction for new Python users.

Everything for this was great, up to the last part of the project. The instructions to load to the IBM cloud were some of the most confusing and overtly difficult exercises.

I was going to give it a 5, however, there are some mistakes and inconsistencies in the powerpoint slides. But overall, great courses, and I'm so glad I decided to take it.

W4 and W5 syllabus is too much to comprehend for non-computer science people. Me personally find it difficult to link previous lessons with the next ones

I don't like the system for the final project. It took me a long time to figure out things not directly related to python.

A few more hands-on for using IBM Watson studio efficiently would have been helpful. Still it was an amazing course.

Es un muy buen curso, te va guiando de lo basico de python hasta en la recopilación de datos en la web.

The videos are good. The level of assignments can be improved.They are quite easy and straight forward.

The IBM section at the end is depending on the cloud services that sometimes have connectivity issues.

The final assignment needs some editing. The instructions were vague and grammar needs some work.

Python basics are taught well but at the end sessions got too hard all of a sudden.

Gives insight into the language of Python, but not much application practice.

well structured courses and assignments the quizzes could be more challenging

some parts were simple with difficult assignments following immediately

Peer to Peer assignment was confusing and misleading.

it covers the essential basics for data science

Explanations too cumbersome around APIs

This course was of intermediate level.

Good

mmm

I think the introduction is excellent, but suddenly in Module 5 it becomes complex very quickly and is a bit less refined. For instance, in the initial sections it has many graphics showing how things work both in the labs and the videos, but later when doing web scraping the labs and docs are expecting you to remember and visualize everything in your head. Also the labs themselves are not so refined. - I was having issues and using AI found 3+ bugs in the example code directly from the labs. I put the comment in the Discussion Board and essentially got the answer "you are right" without the confirmation "we will update the code". - Some of the code snippets in the labs execute but give you no output or feedback. Like the Scrappy example. I ran code and it executed - now what? What am I to learn or get from it? The course is good, but the Module 5, which is probably the most important/useful could really use to have more depth and explanation. I hope someone in Coursera / IBM can take this feedback as constructive and enhance a bit!