Model Development and Model Evaluation & Refinement Concepts are not explained properly neither in Videos nor in Lab!!Really disappointing :(

Concepts of the algorithms are unclear. In the notebooks as well, it is not in a flow. Very confusingg for a beginner to learn from this.

more hands on, project based/game based learning. Mindlessly watching videos and regurgitating code in the labs can not be the only way.

Not a great course. Sometimes it is too fast and the explanations are very short. More hands on exercises would have been more helpful.

There are plenty of mistakes in the videos and in the lab session as well. Hope you guys can clear out those.

This was a very challenging course. Some concepts were difficult to grasp and required additional research

Frustrating when the peer reviewer doesn't actually understand Python and deducts marks for correct code.

Leaned some, but not a whole lot of real-world application, I recommend people take Python courses more

Not enough hands on problems, including variety and volume. Expected more from an IBM program.

Don't spend your money on IBM Data Science Cert. Course labs are full of bugs and not working.

coursework was easy but that damn final assignment was absolute hell for no reason whatsoever

Suddenly introduced complex codes and statistical functions. Videos were way too fast.

moderators do not respond to questions raised in forum. leading to incomplete learning

Worst course in the IBM Data Analyst Professional Certificate. Very badly explained.

too many advanced math concepts used but no explanation of any of them.

it was too fast and I didn't understand a lot of things

So many problems with the lessons and the final project.

Something is off with the assignments of this course

slow in process of certification still not issuing

very high level... topics not covered in depth

some commands are not fully explained.

it is very easy courses

Labs doesn't work!

Needs Improvement.

good