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学生对 IBM 提供的 What is Data Science? 的评价和反馈

4.7
19,766 个评分
3,252 个审阅

课程概述

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. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

热门审阅

PD

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).

BB

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.

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76 - What is Data Science? 的 100 个评论(共 3,251 个)

创建者 Wanji

Dec 10, 2018

It gives a very first impression about what data science is and what a data scientist does.

创建者 Subhadeep S

Dec 09, 2018

I just learned a lot about Data Science and I'm curious about learning more about it. This chapter gave me an excellent overview about Data Science.

Thank You

创建者 Shiva S S

Dec 09, 2018

This course helps in gaining a high level understanding of what is data science. Thank you coursera.

创建者 gregorius a

Dec 10, 2018

Lovely !

创建者 Jameson A

Dec 23, 2018

Lovely introduction to what is exactly data science for a novice on this field.

创建者 Syed M A Z

Dec 23, 2018

Amazing Course

创建者 Mostafa A E O

Dec 24, 2018

It was very helpful course, giving you an overview about Data science.

创建者 Ilse B Z M

Dec 11, 2018

Great beginning path for those of us who are looking to become data scientists!

创建者 DJAMKAM T P B

Dec 11, 2018

Very useful introduction to Data Science world

创建者 Jaime F R

Dec 12, 2018

Excellent introduction!

创建者 Cindy C

Dec 13, 2018

Great opener course! I learned a lot about what Data Science actually is and possible career paths. I'm excited about the future classes and can't wait to find a position in this type of field.

创建者 Enrique M P

Dec 13, 2018

In this course you will get the basic to learn what is Data science (Level basic)

创建者 Dimitris A

Dec 13, 2018

Overall, it was a great first experience with Data Science.

创建者 Sérgio M G S

Dec 13, 2018

It is a great course. It was able to teach me important introductory notions about data science.

创建者 Vidya R

Dec 13, 2018

Topic is really good

创建者 Clarence E Y

Dec 13, 2018

This course provides a good foundation for understanding what data science is and what roles data scientists play in the modern business environment. The presentations are well structured and interesting.

The instructor provides a sound recommendation for writing a final report that aligns with general academic guidelines at the graduate level.

创建者 Gopal K

Dec 13, 2018

Very Nice course for the beginners to understand what is Data Science. Great to hear from the people who are already in this field.

创建者 Avoaja U c

Dec 13, 2018

Very informative course, It offers a gentle introduction to machine learning. And IBM has provided tools worth thousands of dollars for free to learners.

创建者 Wuldan S E

Dec 13, 2018

Easy and Useful class as an introduction to data science.

创建者 Obong G

Dec 26, 2018

great introduction

创建者 Moez B

Dec 25, 2018

Very basic stuff, but a decent course.

创建者 pulabarthi s

Dec 26, 2018

So far Good.

创建者 Rajeshree S

Dec 26, 2018

A comprehensive introduction to data science. Helps to quickly grasp what data science is all about.

创建者 Randall R K

Dec 26, 2018

Data science is a process in which raw data is used to unveil or solve problem that is of interest to an individual or a group.

创建者 Ashok k k

Dec 25, 2018

It was an excellent experience to me