No one grades your project at the end, so that is a bit disappointing. But I guess it's ultimately on you either way whether you are prepared going into interviews with these skills. The combination of videos and readings were very helpful. Most of the time it was clear what previous material I was to use to complete an assignment.

This is a pretty good course. The quizzes are a bit easy. And even though the Specialization has "Advanced" in title, it is not all that advanced. But I recommend it to get started after completing the "Data Analytics" Specialization from Google.

A very good crash course on python, especially NumPy, pandas and jupyter... If you have prior programming experience than it'll be easier, for a total novice this may take longer than the course deadline...

A great course, explaining what matters, nice examples. i would have loved to get some more advanced examples. and how to choose a data structure that is best suited to the data.

1. Perfect course for beginners and people who have little knowledge of programming.

2. Course does not contain much about OOPs. Just an introduction is there.

I would say this is a good course for beginners to intermediate. Unfortunately I had a already covered a lot of the content so I didn't learn much.

This course offers lot of detail Python programming resources. I'd personally liked to see more of programming exercises and examples.

Nice course overall, but if I hear the word "data professional" one more time...

this course will definitely help you if you are data science and data analytics

need more some basic problems on data structures and data handling.

Its A good course for data analyst to build its skills better

Nice course but not so explanatory for a python beginner.

excellent learning outcome with python

Jumps around a bit too much

Very good and to the point.

great learning experience

great learning course

It's a good course

very insightful

Good Course

good one

thanks

good

Good

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