Extremely difficult to understand the professor. Transcript isn't accurate either so that can't be relied on as a backup. For example, the transcript on one of the lectures said "Need to class a monkey as migrant shoes" - and I don't even know what the professor was actually trying to say! Data Mining Pipeline was also terrible and not enough detail is given in either course to actually be able to understand the concepts. So dissatisfied with the quality of this specialization, especially when I am paying $525 per course. If I could rate in the negatives I would - this professor should not be teaching anything. Good reviews must be fake, because it is objectively HORRIBLE.

Overall this is a very practical course. One complain is that for the programming assignment, the python version in the Jupyter notebook is not the latest one. That would cause a waste of time in debugging since it does not support some codes and you could not figure out the cause of the failure from the auto grading.

Assignments are well designed guiding students to learn not only the concepts of data mining methods but also the necessary Python coding techniques.

extensive overview of data mining methods.

Informative course

good im satisfied

very helpful

ZHGu yur

g hjb

good

good

good

good

....

Nice

good

Good

very useful course

GOOD

ok