學生對 IBM 提供的 什么是数据科学？ 的評價和反饋

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.

This course was essentially wikipedia entry level of information. Feels like this was included to increase the amount of time you spend on the course overall, therefore paying more money.

A very simple course, that has a few videos trying to 'sell' data science. If you're unsure if the data science field is for you, then you might take a look at this. Otherwise: skip it.

This Course give a basic idea of data science it only explain the terms related to the course.Quiet goon enough to brief you about to decide whether to go with data science field or not.

I dont believe reading a couple of articles and being quizzed directly on what is written in front of you is an effective form of learning or training. Need to ask more open questions.

This course gives you just an idea about introduction to the course in which how & what can you do in data science. But what I felt that it not that type of course for which you pay .

Readings are not in-depth, and give you an overview of a topic rather than a deeper understanding of it; you don't learn anything technical though checkpoints suggest you should have.

Could have been quicker. Tests did not gauge learning well--too much rote repeating of assigned reading. Reading passage format was not conducive to reading on laptop or smartphone.

It is a bit too focussed on introducing products without going into the theory or methods. it did not help that I had to redo all the quizzes because Coursera lost everyone's data.

As a part of the specialization, it's a great introduction course. As a stand-alone course, it's not worth your time if you are familiar with skills data scientist should have.

I guess this is useful if you want to learn about IBM's services, but it's not good for much else. Coursera is as bad as Amazon with padding bad products with 5-star reviews.

The main points could have been communicated in much less time. For me, it was just something to get through before getting to the more substantial classes that follow.

This is just a bunch of grad students and professors giving their opinion on what Data Science is, it's not really a course so much as an undergrad youtube project.

Content was very simple and very repetetive. Reading material was scanned book pages in low quality. The Intro course was not a very pleasing learning experience.

Intros are usually boring but this was quite good at giving the big picture and the need for human interaction. The IBM cloud "service" leaves much to be desired.