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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

4.7
50,325 個評分
9,496 條評論

課程概述

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....

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SH
2021年7月24日

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

SB
2019年9月9日

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.

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9226 - 什么是数据科学? 的 9250 個評論(共 9,526 個)

創建者 auden w

2020年7月22日

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

創建者 Adam P

2020年3月23日

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.

創建者 Matthew C

2021年6月2日

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.

創建者 Steven P M

2018年5月22日

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...

創建者 Sanket p

2019年11月19日

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.

創建者 Michael K

2019年4月1日

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.

創建者 Trent C

2020年2月11日

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.

創建者 Marieke P

2020年8月29日

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.

創建者 ASHISH K

2020年4月7日

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.

創建者 Kenneth

2019年3月16日

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.

創建者 Vikhyat C

2020年7月23日

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 .

創建者 Tabinda S

2020年5月22日

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.

創建者 Joel R

2021年1月18日

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.

創建者 Nathan A

2020年8月14日

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.

創建者 Tatiana

2020年11月3日

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.

創建者 Courtney S

2021年8月26日

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.

創建者 Natasha S

2020年4月27日

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.

創建者 Jeremy H

2019年4月7日

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.

創建者 Jochen K

2021年5月10日

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.

創建者 Steve O

2018年10月30日

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.

創建者 Lo E

2021年8月12日

Too long for an introductory course and the assignment is not relevant to learning about Data Science....my passion about DS shouldn't require anyone to assess.

創建者 Yael L

2019年2月13日

this is a promotional course with a lot of buzzwords and zero content. could have been summed up in 2 5min videos. shame on wasting students time and effort.

創建者 Stefanie G

2019年9月9日

I thought the course would give a more practical introduction of Data Science. This was more about understanding what it is and how it is applied in theory.

創建者 vaishali p

2020年9月19日

CONTENT WAS GOOD , BUT IBM CLOUD WAS VERY COMPLICATED. WAS NOT ABLE TO PROCEED FDURTHER INTO THE COURSE. KINDLY ELABORATE MORE ON PAID AND LITE SERVICES.

創建者 Philipp H

2020年5月8日

only general information, quiz with unnecessary questions, at least I know that the more bathrooms the higher price can be earned by selling a house :)