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返回到 什么是数据科学?

學生對 IBM 提供的 什么是数据科学? 的評價和反饋

53,998 個評分
10,175 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.



Thank you for this coursera.\n\nI get know experience and knowledge in using different kinds of online tools which are useful and effective. I'll use some of them during my lessons. And lots of thanks


9551 - 什么是数据科学? 的 9575 個評論(共 10,000 個)

創建者 Viola S


The course does not emphasis on data scientist needs to have an understanding of research methodology in some cases. Data scientist needs to understand the needs of their clients and what questions to be answered before start pulling data out to analyze.

創建者 Scott A L


I suggest that Coursera update the tutorial on how to use IBM Watson. I found that Coursera's instructions failed to match the current version of Watson that I saw. I tried several times to upload the images and run the program, but without any success.

創建者 Wesley E B


It's an alright course going over basic terminology though for the two hours it took to complete, I don't feel like I learned that much content. Hoping courses 2 to 9 are a bit harder and more informative in the IBM Professional Data Science Certificate.

創建者 Amanda C


Decent introduction to the field. This could be a much much shorter course. The exam questions are tedious and based on precise recitation of exact facts from the specific articles presented, they not correspond to broader comprehension of the material.

創建者 Pei-wen K


Materials are a very dry and not well organised. The quiz focusd on the reading material "word by word" not focusing on the concept. As a teacher myself I think the curriculum organisation can be further improved. In general the course is quite boring.

創建者 fabien M


This is a general introduction, probably a lot could of it could be reduced.

You will learn interesting things in the interviews (they are great).

But some videos are too broad ("blablabla") and skipable.

My advice : read the transcript and race for it

創建者 Cornea D A


It is pretty basic. The quizzes aren't so relevant all the time. Perhaps it does not involve much difficulty because it is meant for everyone, no matter from which field of work. The videos are nice though and worth watching for general knowledge.

創建者 Sadiq A


I recognize the course is introductory but even so it's very easy to pass (why bother to give assessments and grade if the bar is not set at a challenging level), the course material could simply be expected reading for a more advanced course.

創建者 Alix H P


A really good introductory course--has interested me to continue with the the "IBM Certification Certificate". Highly recommend this course for people who have an interest to get into Data Science and want to get a sense what it is all about.

創建者 Tiaan T


Some answers assessed come from places either not clearly mentioned or absent from the course material. However, the course is a great introduction to data science and the many applications, I look forward to completing the full certificate.

創建者 Oz H


I think its really Unnecessary course. Personally I want to study data science as fast as I can, and I felt unproductive and wasting-time when I studied this course. This course should be studied at the end of data science as a conclusion

創建者 Keith A


T​his didn't feel like a very substantive module. I'm going to feel like an imposter if the rest of the modules are as lightweight. The forray into IBM's Cloud/Watson was unsettlingly superficial. Surely we will go deeper, right?

創建者 Deleted A


Relatively basic introduction - course material assignments felt they more rewarded recital about an author's perspective than an objective review of many perspectives. Reading material was quite light. Fine to start with though.

創建者 Loïc B


Decent introduction to data science through video interviews of experts.

The assignements and quizzes do not reallly test your understanding of the subject but more your ability to remember details about a video yo've seen 10mn ago.

創建者 Lorenzo G K


This course explains what data science is and what a data scientist is like. It also tries to motivate you by looking at job opportunities. But a whole 3-week course is a little bit too much. I completed it in under 4 hours.

創建者 Saransh R


Many videos with a lot of interviews that don't really add value. The readings are somewhat interesting. The course does not scientifically explain data science, but gives a broader view of the career aspect of data science.

創建者 Nicolas C


I think this course is only a timid explanation of what a Data Scientist student needs to learn and ithe deal personal conditions before studying Data Science. It felt more like a sellers pitch than interesting information.

創建者 Mustaqim M


Very basic. I was hoping it gets into actual data science, but it spends most of the time explaining how to write academic papers and only one task that actually uses the IBM portal for machine learning. Disappointing.

創建者 Paul A


Although the introductory videos are fairly good, the quizzes don't really assist with learning or demonstrate understanding of the material. Instead, they function as simple regurgitation of points from the readings.

創建者 Michael A


Information was a decent introduction to Data Science for complete beginners. But, this information could have easily been condensed into one week of a more interesting, hands-on course in data science tools/methods.

創建者 Chris C


The course felt like about 40 percent information and 60 percent promotion. Materials were of a mediocre level. Perhaps appropriate for the completely uninitiated but not useful for practitioners looking to level up.

創建者 Greg G


While a nice introduction to the history, I would have liked a more thorough review or citations of the seminal work in the field, of the statistical methods used, and of the code used to generate machine learning.

創建者 Shelby C


The final exam and some quiz questions did not have answers that lined up with the assigned readings. They were nuanced questions with very particular answers that did not correlate to the knowledge of the course.

創建者 Sandhya A


I could see there is more of reading rather of teaching. It would be better if the reading is reduced. Especially for quizes it is meant to read only last sections. But a quiz should cover all the topics taught

創建者 Jeremy G


This course is a bit long and high-level for the length of the course. It should go a level deeper into actually running through an example of a Data Science focused case study or problem that is instructor led.