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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
54,188 個評分
10,215 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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KK

2020年2月23日

Terrific introduction to the Data Science course. Never expected but was extremely excited with the quality of content, speakers and a very honest attempt to making this course interesting.\n\nKrishna

RS

2020年5月11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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9701 - 什么是数据科学? 的 9725 個評論(共 10,000 個)

創建者 Fernando S O

2021年8月18日

A bit simple and repetitive. It works as an introduction, but it won't add any value to your knowledge.

創建者 Andre C N d S

2019年4月20日

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

創建者 William H

2020年12月1日

This is a very basic introduction, but as it is billed for beginners, that should not be a surprise.

創建者 Manik A

2020年5月29日

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

創建者 Ryan M

2020年4月22日

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

創建者 Anchit S

2019年11月3日

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 Lina L

2020年10月25日

I think it would be better if the content is well-organised. Sometimes there exists repeat content.

創建者 Yafei

2018年10月31日

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

創建者 Benoit P D

2019年5月5日

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

創建者 George K

2019年5月2日

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

創建者 Frank M A

2021年10月22日

The content is good but the navigation of the website is not very good and is not very intuitive.

創建者 Muskan G

2019年12月13日

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

創建者 Mukhamejan B

2022年5月9日

the course itself is good, but I can't get the certificate of it. I'm waiting for it entire day.

創建者 Adrian A

2022年1月20日

My only dissapointemnt is not been able tyo get free 6 month extension code to access IBM watson

創建者 Ahmed B

2019年11月19日

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

創建者 Jessica

2020年7月8日

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

創建者 Phenil B

2019年3月31日

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

2018年9月26日

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

創建者 Erica C

2020年4月16日

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

創建者 Sajid L

2019年12月24日

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

創建者 Sujeet J

2019年7月31日

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

創建者 Shashi d

2020年5月23日

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

創建者 Mitchell C

2019年11月14日

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

創建者 Akhilesh A

2019年5月4日

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

創建者 Carlos A G G

2020年8月18日

The content is not really extensive and it lacks a bit of detail.

I think it is too simple.