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返回到 什么是数据科学?

學生對 IBM 技能网络 提供的 什么是数据科学? 的評價和反饋

4.7
61,052 個評分

課程概述

Do you want to know why Data Science has been labelled as the sexiest profession of the 21st century? After taking this course you will be able to answer this question, and get a thorough understanding of what is Data Science, what data scientists do, and learn about career paths in the field. 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 using data to derive insights and predict outcomes have carved out a unique and distinct field for the work they do. This field is data science. In today's world, we use Data Science to find patterns in data, and make meaningful, data driven conclusions and predictions. This course is for everyone, and teaches concepts like Machine Learning, Deep Learning, and Neural Networks and how companies apply data science in business. You will meet several data scientists, who will share their insights and experiences in Data Science. By taking this introductory course, you will begin your journey into the thriving field that is Data Science!...

熱門審閱

MS

2020年9月17日

very useful. i liked and enjoyed the journey of learning in these five weeks. the instructor is very clear and taught very interestingly. Thanks to her. she looked poised and cheerful and professional

PD

2018年7月18日

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).

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3976 - 什么是数据科学? 的 4000 個評論(共 10,000 個)

創建者 Babatunde O

2021年10月29日

Best introductory course to data science that I have come across.

創建者 Talib A

2021年10月21日

It was nice learning experience with coursera. Really goog content

創建者 Sneha S

2021年9月6日

The "What is Data Science ?" course was a very informative course.

創建者 veni m

2021年8月26日

This course has been designed for absolute begineers. Was useful.

創建者 Randy Q

2021年8月24日

Great introduction with interesting/informative video interviews.

創建者 José O C F

2021年4月5日

Excellent course helped me a lot to better understand data science

創建者 TAREQ H

2021年3月14日

Well Structured Course with a lot of new knowledge and information

創建者 Mehreteab Z

2021年3月1日

The course is excellent. The videos and the notes are all helpful.

創建者 Regina E

2021年2月7日

GREAT INTRO TO DATA SCIENCE. I WOULD RECOMMEND IT FOR EVERYONE WHO

創建者 Julia S

2021年1月14日

This course is a great introduction to Data Science. Thanks a lot!

創建者 Adewale k

2020年12月5日

Very explicit course. Thank you for giving me opportunity to learn

創建者 Edward V

2020年11月1日

Very thorough and clear introduction of the field of data science.

創建者 Sandrine S

2020年10月4日

I took pleasure during my learning with all the supports proposed.

創建者 PINAKI D

2020年7月31日

Course was finely crafted to get the introduction of Data science.

創建者 Ashish A

2020年7月23日

AFTER DOING THIS , YOU WILL UNDERSTAND WELL WHAT DATA SCIENCE IS .

創建者 Adarsh A

2020年6月17日

Explains Each and everything really nicely , loved this IBM Course

創建者 Tarun G

2020年6月12日

Nice and easy to read, basic but necessary elements to get started

創建者 Noah L

2020年6月2日

Super informative and great way to get my feet wet in data science

創建者 Hashmeet

2020年4月29日

Good study material and examples provided for better understanding

創建者 Wana C

2020年4月28日

Good information for a beginner to understand what data science is

創建者 Maduako C S

2020年4月26日

very great and powerful insight in to the concepts in Data Science

創建者 Shrikant S V

2020年4月25日

Very good Introductory course. Instructor Dr. Murtaza is fantastic

創建者 Bollu V S

2020年4月23日

THE INSTRUCTOR AND THE KNOWLEDGE PRESENTED IN THE VIDEO IS AWESOME

創建者 Rajat G

2020年4月15日

Was a well-designed course to develop an interest in data science.

創建者 Syed S W

2020年3月2日

Very helpful and insightful intro into the basics of Data Science.