學生對 IBM 提供的 什么是数据科学？ 的評價和反饋

Videos and reading are informative. Final testing of course is rigid though. Requires students to have a verbatim definition memorized rather than an actual understanding of concepts.

Too non-technical. Could include more concrete project examples ("case studies") even at the beginner level, to really allow students to gain an appreciation of what the field can do.

I didn't like the emphasis given to the money you can make by studying data science, I understand most people are just chasing the money but it was totally frivolous and unnecessary.

This is not really a course -> rather some videos about what Data Science is. So if you are looking for some knowledge (for which I believe we in Coursera do) just watch it through.

The course was very informative.

The time sensitive locks on the teaching material were very inconvenient and should have been relayed to the student before enrollment.

Thankyou

Several English and grammatical problems in the questions and quizzes. This made it confusing at times. Also, some of the questions to the videos need to be reviewed for errors.

Not sure what is the purpose of this course... just to read articles about definition of data science or data scientist? Or something about the sexist job of the 21st century?

Very good for start. On the other hand topic could be said in shorter way. But it is subjective. Therefore I can recommend with this course your journey through data science.

A decent overview of the field of data science and the type of work involved. Not at all academically challenging, but a reasonably interesting, short intro to the subject.

The course is very basic and is not taught in the most efficient way, it's very theoretical and does not provide very detailed examples of what data scientist really do

Needs to be updated to match the online environments used. Quite confusing when you have to really struggle to find the right section of Watson and nearly put me off.

Nicely done, but it could be more condensed. I would be unsatisfied I was paying just for this course, but probably good introductory for the rest. Maybe too general.

Great to hear from professors, but not helpful to hear from random students. I discount their opinions out of hand, they are not experts, so it's just distracting

Did not think this much background was needed. I would argue only 30% of the video material was necessary. However, it still informed me of what data science is.

solid for beginners, but a little buzzwordy and some of the questions/answers felt cheap and based on memorizing what was said instead of applying new knowledge

Its a theoratical course, i had earlier thought it would be a practical one but still am excited to know the background information of data science as a whole.

Good to give you an idea of what data science is but nothing really that you can't find elsewhere. It's a nice set of video lecturer, interesting conceptually.

Good intro course, however, I'm already familiar with what Data Science is - was looking for more of skills/tools required to move into the Data Science field.

Der Kurs bietet eine solide,theoretische Grundlage allerdings fehlen mir praktische Beispiele. Teilweise wurde mir zu oberflächlich über das Thema gesprochen.

I like how it was demonstrated and structured. I faced one problem using the IBM VR lab as it said, this lab is not available for my region. I stay in Qatar.

The course does not provide in depth information about data science

Teaching pattern was good

No practical assignment is given to students to analyze data.

Good introduction, but some of the course content is a little subjective and some of the interviews and videos were pretty redundant and repeated themselves.

This course is good a lot of application of Data science were tought in videos. The program is about to increase the basic knowledge of the Data science.

Not much meat, however an intro to Data science is important, so I do appreciate this light (in terms of technical content) introduction to Data Science.

I guess it is a generally good start, but I did not really learn anything that I would consider a "hireable" skill. I need something much more technical.