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.

The course gives only a Conceptual Introduction about Data Science and nothing more than that. Such a long course is not at all necessary just for Introduction.

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.

Too long an introductory course, perhaps It could've been made more concise and short. But it was a great course nevertheless and serves it's purpose

I really don't like the assignment that asks people to do peer-reviewing. It is a big data course, how about letting it grade my assignments please?

Basic and high-level intro to what data science is. Some of the exercise questions are too formulaic and test on unnecessarily detailed readings.

too much theortical information, can be summarised in short as i found repeation of same thing again and again. this course can be of max 2 weeks

Good...but very basic and subjective for a MOOC. Nevertheless, a good way to introduce someone to data science - especially, for total beginners.

half of the questions were promoting IBM jobs or trying to convince people to study data science. I'm already in. I just want to learn material.

Its a good introduction but I wish they would have said that a Data Science career needs a ton of math and stats at the beginning of the course.