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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

37,840 個評分
7,011 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....



Feb 22, 2019

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.


Jul 19, 2018

I thought this course introduced the topic of data science very well. I think I have a much better idea how to describe data science and common terms associated with the field (like machine learning).


6576 - 什么是数据科学? 的 6600 個評論(共 6,961 個)

創建者 Deleted A

Feb 02, 2020

It is just the beginning of a long journey to become a data scientist.

It is very brief and to the point.

創建者 Simon B

Oct 05, 2018

Okay if you are completely new to the area, but doesn't add much new if you have some awareness already.

創建者 Andre C N d S

Apr 20, 2019

It is a good introduction to Data Science, but in my opinion did not have to be an individual course.

創建者 Manik A

May 29, 2020

There was only theoretical knowledge. There should be more about the implementation of data science.

創建者 Ryan M

Apr 23, 2020

Fairly redundant while also being informative. It's mostly worth the few hours it takes to complete.

創建者 Anchit S

Nov 03, 2019

I will it is important to have a clear vision on what path you are going to. So yea this was useful.

創建者 Yafei

Nov 01, 2018

This course merely gives an introduction for the Data Science but not teaching any practical skills

創建者 Benoit P D

May 06, 2019

Good motivational course, but not that much proper scientific / analytical / quantitative content.

創建者 George K

May 02, 2019

Nothing that I could've just learned from reading a Wikipedia page on Data Science was introduced.

創建者 muskan g

Dec 13, 2019

I think the sir is giving half knowledge about the topic. Like some more explanation is required.

創建者 Ahmed B

Nov 19, 2019

3 weeks can be summarized in one pdf in the first week of the next course. So long introduction

創建者 Jessica

Jul 08, 2020

Kind of a fluff class but good if you are looking for something to explain the absolute basics

創建者 Phenilkumar B

Mar 31, 2019

The course is too basic. And it has a lot of opinions from a lot of people about Data Science.

創建者 Kurt B

Sep 26, 2018

That's a good overview about what is Data Science and what we understand about Data Scientist.

創建者 Erica C

Apr 16, 2020

I think this course spends too much time on selling the field of data science to the learner.

創建者 Sajid L

Dec 24, 2019

A little bit of redundant content. Very basic overview no need to spend so much time on it :)

創建者 Sujeet J

Jul 31, 2019

Gives the overview of Data Science and the role of Data Scientist. More of a theory though.

創建者 shashidhar J

May 23, 2020

It would be good if we have more of Practical things rather than just the videos and theory

創建者 Mitchell C

Nov 14, 2019

Pretty high level / conceptual. Looking to get into more of the details in the next course.

創建者 Akhilesh A

May 04, 2019

The document attached looks like from 2015. I wish that would have more updated information

創建者 Ayush G

Sep 10, 2019

It's nice course but the definition of Machine learning and deep learning is not so clear.

創建者 Marija J

Oct 29, 2019

Pretty good course for general intro to Data Science. Tests are not interesting though.

創建者 Sam T

Apr 25, 2019

Good intro but interviews are mostly with students not experienced experts in the field

創建者 Birgit K

Mar 15, 2019

Nice intro, but sometimes a bit too low in competence level with quite some repetitions

創建者 Julian W

Mar 25, 2020

A good introduction, but i wish for more in depth insight of how to analyze the data.