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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
50,197 個評分
9,483 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....

熱門審閱

BB
2019年2月21日

Excellent quality content! It's a great introductory course that really gets you interested in Data Science. I would highly recommend it to anyone curious in learning about what Data Science is about.

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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9326 - 什么是数据科学? 的 9350 個評論(共 9,512 個)

創建者 Tirthankar B

2020年8月20日

Very high level view of dat scien

創建者 Axel B

2020年5月10日

Actually not much happening here.

創建者 Jordy B

2021年10月31日

F​elt stupid, didn't learn much.

創建者 Satya S

2020年9月2日

A lot of unnecessary information

創建者 Mark H

2019年1月30日

Pretty basic. Didn't learn much.

創建者 Joseph S

2020年3月29日

I didn't think it was helpful.

創建者 Deleted A

2020年3月11日

Very boring.Not useful at all

創建者 Nicholas J

2020年1月23日

It's really not very useful.

創建者 Shivam D

2018年12月11日

A very very basic course...

創建者 Sean M

2018年12月21日

very basic introductions.

創建者 Brandon M

2020年7月20日

Correlation = causation

創建者 Chaojie L

2019年10月11日

Maybe shorter is bet

創建者 Xingyi

2020年7月30日

wordy, wasting time

創建者 Michel M E

2020年12月7日

Not useful at all.

創建者 Shubangini N

2019年6月20日

It was very basic.

創建者 Felipe S

2019年5月9日

Very poor content.

創建者 Adrian L

2021年10月1日

Not very useful

創建者 Alpana T

2020年4月21日

It's too basic.

創建者 Gurjeet

2020年6月2日

waste course

創建者 Rushan N

2020年3月18日

Way too easy

創建者 VINAY C

2019年6月11日

Well curated

創建者 Syed A A A

2018年10月12日

Very basic

創建者 Manu k

2018年6月1日

Too basic

創建者 Harindu H

2021年9月25日

good

創建者 Julian W

2020年1月12日

Really disappointed with the whole specialisation... I am leaving this review here because probably you might not check the others courses before you start it.

Specialisation is short and it is the only good thing about it. It took me I think 10-12 hours to do it.

So first of all the whole thing is not really informative. A lack of videos - Most of the time there is only "power-point"presentation with code written on it. I don't really understand why they have narrator who just read text - no emotions almost like a machine.

Courses:

1. You will spend a lot of time learning listening to videos about how sexy is to be data scientist... and that parents start sending their daughters for data science (sic!), and that it is a new science... Plus some rather simple information which you rather know taking into consideration you want to study it online. At least it is nice to watch - there is life in it.

2. You will spend the whole course watching different notebooks like jupyter R studio etc . without really learning any useful stuff. In the end you will just click run to create some already written commands in python. Yeap that's it. I know it is intro but adding 1 +1 third time in different console...

3. You will learn some methodology - A lot of complicated knowledge read by narrator who is not making it easier or more interesting. Almost like somebody reading you technical book...

4. SQL - you will try to learn it from presentations. I think there are no proper videos just images in narrated power point presentation. I watched some coursera lectures about sql before but still I had problems with following it. To make it worst you will have to use IBM products which are FREE - other reviews are probably outdated. The problem is that materials from this course are also outdated. So they are presenting you IBM tool-set which is already different. It is a problem because they are not even trying to show how they work just where to click.

I managed, you will too but, IBM, please do better.