A lot of information for new beginners. There was trouble with Jupyter Lab that caused some delay in the course. The answers to questions in the threads are incomplete and don't really explain the solution clearly. Overall an interesting course and I learned a lot about Python.

Learned Basic skills in Python such as data types, loops, file handling, exception handling, basics of Pandas and Numpy, and some parts of Matplotlib for plotting. My experience was good. Graded assignments were good. Looking forward to completing the next part of this course.

Helpful start to learning Python. I appreciated that there was a hands on lab that allowed you to actually practice the codes itself instead of just plain textbook materials. The final assignment was a bit buggy in that one of the questions did not accept the standard answer.

The course is very good. But as a beginner who has no background of data science and programming, I sometimes feel it is difficult to understand some code. I think the course can add more explanations as optional parts to make it easy to understand for those beginners like me.

It was hard to follow up some topics since I dont have previous experience with python. Some exercises in the lab were difficult and the explanation was not in the videos. So I had to do some research in another sources to finally understand the exercises and lines of code

Good apart from the end of the final week where in trying to highlight use of their IBM Watson Platform the courses descends into complex instructions to link content from it with very little explanation and that doesn't seem to run if you have a non-US IBM Watson account

I think the course is very well structured. I don't come from a tech background, I am actually an industrial engineer. I wish the course has more examples and labs with problems to solve and the answers, to be able to practice more and learn from the mistakes we make.

There were quite a few inconsistencies between the videos and the actual IBM Cloud tools. Also, the final assignment seemed to have less to do with Python and more about saving your final output to a Data Bucket and setting permissions/visibility so peers could view it.

I personally felt that more of stress could be given to Python coding. This course and its contents had the ability to create a strong background for the student in Python but somehow it couldn't. But still you get to learn a lot of things. So it was a good experience.

Great beginners course. The only thing I would change is allowing people to see the answer they selected on the quizzes once they have been marked, and providing them with an explanation on what is the right answer and why. Would provide a better learning experience.

the course has many interesting and relevant topics. however, its contents are appear to be way to advanced for someone who has no previous programming skills. i particularly found the week four/five lessons very difficult. i couldnt just get my head around them.

I had some issues submitting the homework. It took me a while to find where apikeys, access_key_id, and secret_access_key were located. We weren't really taught in this course how to maneuver in Watson Studio. Otherwise I would have give five stars on my review.

Very good basic intro. Enjoyed doing the assignment but would have liked some more challenges. Seemed a little odd to spend so much time trying to produce a link to share the workbook while actually completing the questions was very simple one or two lines of code.

I'd love to give 5 to this course, as this is the best Python course of Coursera so far, but there were some issues in the material. For the names of classes you need to use CamelCase, for naming varibles you need to use lowercase. It's PEP-8 and everybody knows.

The course is friendly for beginners, which have detailed step-by-step guides in materials. Videos clearly explain the Panda and Numpy using animation and language translator and speech to text on IBM cloud gives me a deep impression on using data in other forms.

This is a good course which makes one a good introduction to Python programming language and Jupyter Notebooks as a framework for coding. Although some of the aspects of the course are introduced in a rather scarce way, and do not allow to fully comprehend them.

Enjoyed this introductory course to Python language. The issues with the final assignment was disappointing, but all the other content was great. Liked the breakdown of the weeks and the consistent quiz's and labs to reinforce what you were reading/watching.

Gives an easy way to enter python, but more text feedback should be needed as videos, are 10 minutos long or so, but they have so much information in them.

Also some assignment and jupyter notebooks were unavailable temporarily and took me days to prepare them.

Great course for beginners. You will learn all the basic data structures of Python.

The only but it the "jump" between the basics of Python and the API lesson. There should be an (extra) connecting lesson which links the basics of this course and teaching APIs

In general quite good. I like the Coursera set-up. In this particular course (it is my fourth), I would like to see more alignment of videos, quizzes and the final assignment on Watson Studio.

Still, thanks to everybody who makes these online courses possible!

The course is very well made, It cover everything. Maybe sometimes would be nice make the video a bit longer or make it slower. It felt sometimes that is too fast. There are some grammatical errors in some places, but nothing important. My rate is 4.8 stars

For webscrapping it switch very fast from simple to very complex which is confusing and takes way more time to understand the concepts. One of the excercises that asked to choose and work with an API of preferences it was al most impossible to solve for me.

It´s good generally, but it has a few caveats. There are some jumps in programming concepts, for a beginner course. And some of them are not used in the final project, so they could be removed and replaced with more in-depth analysis of libraries methods.

Good course for any beginner but some codes taught didn't run properly. And I would request to provide more practice exercises for every type where we get habit of application of not just the current concept but previous ones also so we don't forget them.