學生對 IBM 提供的 什么是数据科学？ 的評價和反饋

I​ just finished Google Data Analytics and Google Project Management and got their certifcates. When comparing the teaching styles, I didn't like this IBM course because:

1​. Full of videos and not much reading materials. I am not sure what to take note of, to be honest. Some of them are anecdotal and does not apply to me.

2​. Building from the previous reason, as a non-degree holder, the videos keep on implying that I'm not suited for this career. Compared to Google's courses where there are lots of encouragement and does not make you feel unworthy of this career path. If they want this to be exclusive to degree or masters holders, they should have noted that!

3​. Every quiz is graded. Unlike with Google's where they have practice quizzes.

After working as a data scientist looking to add "credentials" based on these certificates, I didn't learn any new concepts. If you have never heard of data science and are in high school or just starting to learn about the field, this course would be useful. Otherwise, if you already have experience I would recommend against taking this course.

really very it is very basic thing to understand, what is data science, but it has been very lengthy process to understand this and unnecessarily time was engaged on IBM Cloud Platform, a person who's going to pursue the entire course will definitely use the tools but to introduce the field it should be very short and precise thing

While I appreciate the talks given by these experts, the way this content was spread out with very little substance was demotivating for me and not an efficient use of time, in my opinion.

It could be much more concise.

I liked the final assignment as a recap and way to interact with my classmates.

The course offers some key definitions for what regards data science. The learner should not expect to understand more than just a list of new words related to the topic. The videos and reading material are moderately entertaining and the assessment strategy is excessively straightforward.

The course consists mostly of generalities and has unfortunately nearly no examples.

Showing a data science project with the difference phases of a project would have been great: problem formulation, data collection, data exploration, analysis, visualization, report preparation, etc.

Strange timings. Supposed to be 3-weeks course, but could be beaten in one evening. Also, it was not very informative. However, there was useful stuff such as report requirements. Hope, next courses will be more useful in terms of boosting my skills as data scientist.

Maybe consider renaming the course to include something along the lines of "introduction to" or "basics of." I expected meatier information and found very little value exchange for my time. It makes me questions what value would come out of a paid course

It does provide a good overview, but the whole peer review thing is a negative and questions are based on specific knowledge pieces that are not relevant to the topic. E.g. knowing that xyz person worked at yz company should not be a test question...

This course is for people with ZERO experience in data science. If you've never used a computer before, or have been hiding under a rock for the past two decades, then this is the course for you.

Otherwise, save your money and avoid it.

Generally useless pile of videos explaining basic stuff about data science without saying anything useful. Final assignment was a total joke focused only on one particularly uninteresting and not-so-relevant topic. Very disappointed

I finished all three weeks did all the quizzes and even delivered my final assignment of week 3... and suddenly i lost the progress of the first 2 weeks!!! How is that!?!?!?!?

I had to redo the quizzes again to gain the certificate

This course is quite honestly not worth the money spent. It's such a high level overview of "data science." The topics covered in this course are quite literally what would be covered solely on Day 1 of a real college course.

I felt this course could have been a lot shorter. The reading were okay but it seemed like a lot of fluff and not so much information. Really, it can be summed up in maybe 15 minutes of videos and the 4 short readings.

I am unable to verify my account. My camera quality is perfect but for some reason the photos are not clear enough when uploading through your interface. I suggest you add feature to add photo though gallery.

Fairly weak material that was presented in an amateurish way. The assignments were often irrelevant and occasionally even incoherent. This did not feel like it had been compiled by professional educators.

The amount of structure and formality is not in keeping with the quantity of practical knowledge and skills i'm walking away with. Hoping that the course accelerates a LOT or I'll probably look elsewhere.

This course is totally theoretical and no hands-on available.

Mostly this course cover the personal experience of the data scientist.

Three weeks form this course of no use.

Please try to give more details.

I feel like I learned a few things but I could have learned all of those in a half hour video rather than a full course. The course also felt like an ad for data science and IBM more so than a course.

The course videos and readings were interesting but passing the course is not worth your time. The quizzes and final project are only focused on restating what you read, making the class unchallenging

An okay introduction to what data science means and to careers in the field, but basically nothing in the way of skills provided. Hopefully the other courses in the series will provide more of that.

Too basic, content could be covered in a single introductory lecture. The quizzes mostly tested arbitrary stuff from the videos. Maybe OK for somebody who had never heard the term data science.

Introduction with a capital I. In the final assignment they've asked the students to describe things like "The Table of Contents" and "The Executive Summary". Really? Are you kidding me...

The Course provides just very basic introduction to the topic which in my view every applicant must be knowing about.

One good thing was to hear from the professors and others in the field.

This course seemed more like marketing for data science. I will reserve judgement for later courses, but there is nothing interesting or useful from this first leg of this specialization.