學生對 IBM 提供的 什么是数据科学？ 的評價和反饋

The course was a great overview of what data science is and how it is used. I thought the quizzes, though easy, were more for the sake of having a quiz as opposed to measuring how much or what I was learning. For example, the 5 Vs of Big Data were mentioned often: Velocity, Volume, Variety, Veracity and Value. These seem extremely important to me and I took the time to learn them and about them. They were not mentioned in any of the quizzes.

Decent introduction course, but I wish it had delved into more specific tools and methods, as it's a bit too general and vague. The topics as presented could easily be covered in a short lecture, and I feel they missed out on an opportunity to give a more thorough introduction than one could find by just Googling the term. For example, I wanted to see more specific examples of tools used in data analysis, not just a general description.

Basic knowledge and definition nothing too crazy, you are basically learning the what, why, and how of Data Science. I only gave it three stars because I am already familiar with most of the information provided ( I learned some new knowledge). If you are new to data science, this course would be a great starting point to understand how you'd approach this field based on your background. Again, this course is mostly verbal.

The in-video review questions were repetitive across a few videos. For some videos, submitting answered returned a message "answer can not be submitted". The IBM Watson image upload assignment seems old because it looks like IBM Watson does not let me do that(despite adding my cc on the IBM platform.) So either navigation is changed in Watson and the course must be updated accordingly. But it is not.

The course provides an overview on data science. But the content of the text book is a bit problematic. The most misleading part is the author described the dictator of China, Xi Jinpin is the man who is making the world become better. This notion ignores all the human right violation happening in China. I would recommend the change the text book and the misleading reading materials.

It is just an overview about Data Science and there is not much useful information. The examples given in this course are not very concrete so that even after this course I couldn't get enough feelings about how real work is done in real life. So I would rather pursue those practical lessons about how to use analytic tools and train myself through real exercise and projects.

It is a very good course if you haven't had experience with data base. The articles doesn't have the hiperlinks to read the references. It would be very clear if the course had success cases, with detailed explanation of hte question made, hypothesis, methodology used, tools usted, document and visual presentation attaced to the project report detailed step by step

A good course to introduce yourself to the field of Data Science and the opportunities lying ahead. I thank the professors for making this course interesting.

Just one thing though, the course deals with only the tip of the iceberg and I feel that few more insights into the field of Data Science and its applications might have made the course better.

I felt like the explaining got way to repetitive. Why not show some real life examples and the impact of Data Science has on the world? Why not show a video of at least a glimpse of data being analysed to get us even more fired up for the course. Also, the intro section before each video was very annoying, include the intro only on the first video.

The material is very basic (although there are some new knowledge), my expectation I would get introduction to more advanced material. But the good parts are the content and the name matched, also from this course I become more confident with my existing knowledge about data science because the course give explanation similar with what I think.

Poor quality of reading materials presentation: why not use pdfs?

Content was very limited and easy.

A lot of the videos were repetitive and too long for the amount of content.

The IBM cloud project didn't work as I wasn't able to set up the visual recognition component in my project. No communication about how/when this would be resolved.

The end assignment is a bit weird. The definition of data science is using story telling? Surely that comes under communication, however, the rubric specifically states that we need to state story telling. I felt this module was more to introduce how to use Coursea than much else. I did really enjoy the fun Watson example.

The grading is odd. I received no feedback rather, a grade that did not reflect what I answered. The course syllabus is arranged as almost a surprise. I wish I would have known how to navigate the course instead of learning it in stride. Overall, I am here to learn and earn my certificate. I will continue on.

It is just a theoric course and I think y would have been lost if I had not taken another course that explained everything covered in detail and with excersices. One advantage of this course is that it can be completed even in one day. Also, I think, IBM gives this course for free in its page, Big Data University.

this course is mostly about the elaboration of data science and related terminology in concept and various standpoints on that. it does not necessarily add any hard skill to your toolbox but I guess it might be useful to know what you are dealing with and hear different practitioners of the field

I don't know..

Granted this is the first of 8 or 9 courses in the series but I am worried about the depth of tuition I will be receiving with the other courses. I want to learn a new applicable skill - not just spending 3 weeks watching introductory videos and reading a couple of 5 minute articles.

Not a bad introduction to data science, but not a great one either. I am biased. I never really enjoy these broad introductions though. Quizzes and assignments could have been more meaningful. I felt like the only goal here was to excite people about the field rather than teach them about it.

The problem regarding the IBM Watson to add an associate service is still not been resolved. If that would have been done, it would help lot of us to understand the IBM Watson and services. Apart from that the information regarding Data Science is good and real-time examples would be useful.

OK for beginner introduction. Most of the content was interview style. There were quite some good knowledge shared by the senior data scientists. But for the juniors, I would prefer them to at least introduce themselves first before instantly expecting learners to trust them at first sight.

Would have appreciated a greater degree of technical inputs; one live project was a repeat from course on AI. Current course material is very generalized though important. Adding one more week with inputs on key techniques and specific case studies as live project would be very valuable.

Well structured and good reference material. It is a very general course, with practically no hands-on activities. I would not consider it relevant for someone who has a minimum background in Data Science and wants to pursue it, it's more a very light introduction of the subject.

A good overview of the field of data science, but needing more substance. In my opinion, the interviews would have benefited from a bit of preparation on the part of the interviewees. One exception to that was Murtaza Haider, who I found to be very insightful and enlightening.

Too long for the fairly minimal content. But would have got 4 stars if the lab worked for people who didn't happen to live in the USA. This is the entry course to a beginner's set of courses - a real beginner would quit when faced with instructions that don't actually work.

While the course is good as an introduction it was way too basic, even for me and my career is currently completely unrelated to the field. It will help you get a pretty good notion of what data science is and begin to understand the kinds of things that you can do with it.

What is Data Science ? - is a course that covers all the basics of Data Science, so anyone who are really new to Data Science and don't have any prior knowledge in Tech and Stats can enroll in this course and can a get a clear picture about the basics of Data Science