Some information like the links to the necessary data was hard to figure out, generally I learned a lot. I would recommend it anyone who wants to learn the harder way! It is intermediate, so beginners don't get headache

Definitely helpful but feels shoehorned into the Professional Data Science Certificate and more instructional material and videos to understand reasoning behind the elements of Webscraping would be beneficial.

The course content is good and great for beginner level. But faced a lot of issue in accessing the IBM skill network because of which I missed deadlines in the assignment and delayed completing the course.

I think that the final assignment of the course is too complicated, because the knowledge and programming skills after fifth course were not enough to solve the problems that were in the final assignment.

I already knew most topics. yfinance library was new to me and I fell it was not explained well. What it is, from where we get the data, is data updated? It was still fun doing analysis on real data.

Lots of errors between the code taught and what works in Python today. Had to use a lot of resources outside the course to actually learn - which was useful - but took much longer than it needed.

This course is not for absolute beginners. Some concepts are not briefly explained but they are needed to complete the assignment. If these things get better then this course can offer more.

Instructions regarding the final project or projects (not even sure at this point) was EXTREMELY UNCLEAR and UNBELIEVABLY CONFUSING... unlike the two other IBM courses I've taken so far.

the labs are not working to submit work to be graded. Also yfinance is deprecated and no longer a viable instrument for getting stock information. VS code won't even load it anymore.

This project only includes the programming questions relevant to web scraping and API. You should also include the other programming questions relevant to Python course material

Overal project assignment is good. But, using For loop for webscrapping has to be taught more in previous Course 04. Even using Dataframe is to be taught more for webscrapping.

The project was okay, but didn't test the broadest range of skills due to unnecessary repetition. Overall production and spelling were short of a quality educational product.

Needs an answer key or a better hint guide, this took way longer than it should have. There aren't enough coding drills in this course to be coding mostly from memory.

as with all of these courses on coursera there is a lot of frustration. Also it takes a really long time to get feedback and thats if you even get it.

This course was more copy and pasting code and didn't really allow us apply any learned skills. Calling the course a "project" is a stretch.

There were typos and errors in many of the lessons. On the 'build a dashboard' it is set to import an older version that is incompatible.

I wouldn't call this course a "Python project"... it's more of a lab with exercises about the previous course ("Python for Data Science")

not too much easy but not hard... You need to find out the exact level of the content if it is an advanced concept or a simple one.

This course has a some bugs in it. I was clean up code a lot during this course. Overall it is a good course. I like the the labs.

This course is not as good as the ones : the videos are not very explanatory... It took me a long time to figure out some stuff

Some of the information provided to help correct peers' final assignments are outdated. Clunky visual support in my opinion

very interesting course but lack of details. May be better to add more explanations on some parts of the course

The course was great, however I do not think that the material was enough to prepare me for the final project.

I thought one of the questions required a skill that was not covered in the labs. Rest was pretty good.

Peer grade is once again not correct and must attempt again and grade other peers to get a new grade.