Depth is not enough as per industry and not for beginners, you should have atlest some knowledge of python to ubnderstand this course

A majority of the labs are overwhelming and do not coincide with class instruction. Make it through and the final assessment is easy.

There's a lot of python knowledge they expect you to know without teaching it. Also a few of the labs were just broken or confusing.

The course is smooth but the final assignment did not explain things properly and because of that, it is very difficult to complete!

I was pretty good until I got to week 4 and had to create an IBM Watson Studio Account and I was never able to complete that step.

The last peer reviewed assignment was way too difficult. There was a knowledge needed that wasn't taught in the previous courses.

buggy and too in-depth and complicated for this level. spent a lot of time debugging errors which for a newb is frustrating.

Not a substantial course in Data Science or AI. Essentially, it's mostly Python basics plus a little bit of data science.

Extremely IBM heavy, there is not even any IBM alternative option for the people not interested in IBM specific learning.

its an introduction to python but i didnt like the way it is handelded. There are better ways to perform this introduction

Needed more hands on questions and not the same ones as in the video.

Expected more from an IBM professional certificate.

Very confusing navigation and setup. Videos are rushed and extremely hard to follow, could've easily been twice as long.

Poor connection between a teacher and a student, it was just read by the computer and a feeling of learning was lacking

Super basic content. If you have a minimum knowledge on python and pandas I do not recommend enrolling in this course.

Too many things and no real practice, students would need to practice a lot more to consolidate all the information.

Very, very basic course. Mainly a marketing tool for IBM Cloud. If it would've been free it would've been worth it.

Mucha teoria, poca aplicacion. Los videos no se entienden mucho en comparacion al resto del curso de Data analyst.

I think the course materials should be reviewed. E.g., in the final exam code blocks are not formatted properly.

In my opinion, there are way too few oportunities to practice. Additionally, the IBM resources do not work well.

This course has many bugs. A lot of things didn't work. Registration at other sites necessary and difficult.

Really average course, confusing in terms of what is expected for us to know and what is part of an exercise

Peer graded should be reviewed by more than one person because the person reviewing mine has made an error

Material is very poorly explained. It lacks structure, I had problems to understand what is it all about,

Problems with hands-on training due to outdated code snippets and issues with registration for IBM Cloud

Don't take this up if it's your first time studying python. Videos are fast, and narrative is confusing.