學生對 IBM 提供的 什么是数据科学？ 的評價和反饋

Could have been quicker. Tests did not gauge learning well--too much rote repeating of assigned reading. Reading passage format was not conducive to reading on laptop or smartphone.

It is a bit too focussed on introducing products without going into the theory or methods. it did not help that I had to redo all the quizzes because Coursera lost everyone's data.

As a part of the specialization, it's a great introduction course. As a stand-alone course, it's not worth your time if you are familiar with skills data scientist should have.

I guess this is useful if you want to learn about IBM's services, but it's not good for much else. Coursera is as bad as Amazon with padding bad products with 5-star reviews.

The main points could have been communicated in much less time. For me, it was just something to get through before getting to the more substantial classes that follow.

This is just a bunch of grad students and professors giving their opinion on what Data Science is, it's not really a course so much as an undergrad youtube project.

Content was very simple and very repetetive. Reading material was scanned book pages in low quality. The Intro course was not a very pleasing learning experience.

Intros are usually boring but this was quite good at giving the big picture and the need for human interaction. The IBM cloud "service" leaves much to be desired.

Too long for an introductory course and the assignment is not relevant to learning about Data Science....my passion about DS shouldn't require anyone to assess.

this is a promotional course with a lot of buzzwords and zero content. could have been summed up in 2 5min videos. shame on wasting students time and effort.

I thought the course would give a more practical introduction of Data Science. This was more about understanding what it is and how it is applied in theory.

CONTENT WAS GOOD , BUT IBM CLOUD WAS VERY COMPLICATED. WAS NOT ABLE TO PROCEED FDURTHER INTO THE COURSE. KINDLY ELABORATE MORE ON PAID AND LITE SERVICES.

only general information, quiz with unnecessary questions, at least I know that the more bathrooms the higher price can be earned by selling a house :)

The course is mostly introductory and very basic. I think it could be helpful if you have never had any contact with the Data Science idea.

The first part is great but the second part goes super crazy technical and is impossible to keep up without a computer science background.

Not necessary in my opinion, have very little viable information and trying to promote the subject by creating unrealistic expectations.

Most videos are are very very basic. It seems like an introduction to the introduction. I hope it will go faster in the next courses.

The course is motivational, but it is long and nothing practical is learned. Also the week 3 grading part doesn't make much sense.

Very (too) general intro to DS

superficial

Questions in tests are often irrelevant and somethimes the answers are just plain wrong

I did not like the readings. The font was small and the storytelling not so creative and comprehensive. i did like some videos.

Good way for beginners to decide if they want to do data science as a career, but poorly designed questions and grading system.

An introductory course light on information best suited for those who have not had any formal education beyond high school.

I believe this course was very long for what it is. I believe it could have been narrowed down to one video of 20 minutes.

I didn't expect this style of lecture. Still to be convinced. Mostly interviews. I think the approach should be changed.

This probably should have been integrated into Module 2. As a stand-alone it is lacking in much in the way of content.