Nice introduction but not many new ideas i had recive, but thank you team.

A great course. But I still think there is a lot of room for improvement.

Computer voice over is not a great experiment; everything else is great!

Need more friendly lecture, that's why we can understand topics easily..

Sound quality for every lecture is very disappointing ,very poor quality

A good introduction to data science and the associated issues around it.

Extremely useful info, but the material is too shallow to be satisfying.

It is a good course, however, I would have liked deeper knowledge in git

Really basic, it's only necessary if you have no knowledge in the area.

Audio on videos was sometimes unclear. Course content was interesting.

Mostly auditory discussion of concepts. Not so much visual or hands-on

Very basic...One must do the entire specialization to make any sense.

Very basic. Probably unnecessary for anyone with some experience in R

Please include some optional Quizzes/Assignments also for practising.

Very basic introductory course. Looking forward to the other modules.

The instructions for using git and git hub left a lot to be desired.

Very Basic Course. Doesn't require the time that was allotted to it.

Probably more useful for someone with no background in programming.

good for introduction. The sound quality is low. Can be shortened.

Ne présente qu'un ensemble restreint des outils du data scientist.

too easy,

i wish we had more things do submit so we will learn more

The introduction of how to use github is undetailed in my opinion.

Too simple. Personally feel this can be clubbed with R Programming

OK introduction to specialisation but now very useful on its own.

Not really specific, just a broad indtroduction to data analysis.