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學生對 IBM 提供的 什么是数据科学? 的評價和反饋

51,366 個評分
9,680 條評論


The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today....



Very learning experience, I am a beginner in DS, but the instructors in this course simplified the contents that made me I could easily understand, tools and materials were very helpful to start with.


I thought this course introduced the topic of data science very well. I think I have a much better idea how to describe data science and common terms associated with the field (like machine learning).


9026 - 什么是数据科学? 的 9050 個評論(共 9,721 個)

創建者 bruno c c


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.

創建者 Nicks C P


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.

創建者 Robert F


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.

創建者 Lee H


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.

創建者 Benjamin W


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.

創建者 Bilal M


Good course to start with. However, I would like to see some more technical detail and possibly hands-on experience with some of the tools. The other courses in the specialization (intro to cloud, and intro to AI) had those elements which are great to give a beginner a feel for the field and the tools involved.

創建者 Luciana L R


The course provides a good idea of what the data science field is and the role of a data scientist. It is VERY basic though (even for me, a beginner). Plus, the quizzes test your ability to memorize information verbatim, instead of testing your comprehension of the topics covered in the videos and readings.

創建者 Milad


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

創建者 deon v r


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.

創建者 John H


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.

創建者 Suraj k


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.

創建者 Luqmaan


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.

創建者 Indrajit S


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.

創建者 Isabel F M


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.

創建者 Amy P


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.

創建者 Jennifer B


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.

創建者 Susana L d l G E


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.

創建者 Philip R B


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

創建者 Tara N


Some of the videos were good and rather informative, but overall I don't think I learned much, especially considering my background as a research psychologist. Also the videos were a bit all over the place – I would've loved to see them more organized and structured.

創建者 Rick K


The course has some good foundations of answering the questions what is data science. Some of the material though seems unnecessary and the quiz questions can be overly pedantic asking specific questions about the readings rather than reinforcing the overall ideas.

創建者 Enok J H S


The readings are in a format where it is not possible to search in it. It would also be better to make the readings as lecture slides with a few bullet points per slide, instead of having 1-2 A4 pages full of text. Not all the videos are related to the readings.

創建者 Gaurav D


It does well to introduce the student to different areas of data science, applications and industries. To improve it, would love if more introductory terms are used and role clarity are explained a little better.

What tools and technologies and courses to pursue.

創建者 Pradyumna V M


Many of the test /quiz questions are based on memorizing relatively useless things as a data scientist. The checking of understanding the concepts can be done a lot better than 'who said what' and 'who used what adjective', and 'who worked for which company'.

創建者 Hyun G K


The course is great, but it is a bit difficult to navigate through coursera. Additing in small bits to manage the coursera portion would be great. Also, the course was designed 3 years ago, so i am a bit concerned about how up to date this information is.