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.
提供方
IBM課程信息
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學生職業成果
27%
完成這些課程後已開始新的職業生涯
28%
通過此課程獲得實實在在的工作福利
11%
加薪或升職
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完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
初級
完成時間大約為9 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
學生職業成果
27%
完成這些課程後已開始新的職業生涯
28%
通過此課程獲得實實在在的工作福利
11%
加薪或升職
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
初級
完成時間大約為9 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
提供方
IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
Defining Data Science and What Data Scientists Do
In this module, you will view the course syllabus to learn what will be taught in this course. You will hear from data science professionals to discover what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Finally, you will complete a reading assignment to find out why data science is considered the sexiest job in the 21st century.
完成時間為 2 小時
8 個視頻 （總計 27 分鐘）, 4 個閱讀材料, 2 個測驗
完成時間為 3 小時
Data Science Topics
In this module, you will hear from Norman White, the Faculty Director of the Stern Centre for Research Computing at New York University, as he talks about data science and the skills required for anyone interested in pursuing a career in this field. He also advises those looking to start a career in data science. Finally, you will complete reading assignments to learn about the process of mining a given dataset and about regression analysis.
完成時間為 3 小時
8 個視頻 （總計 39 分鐘）, 3 個閱讀材料, 2 個測驗
完成時間為 4 小時
Data Science in Business
In this module, you will learn about the approaches companies can take to start working with data science. You will learn about some of the qualities that differentiate data scientists from other professionals. You will also learn about analytics, story-telling, and the pivotal role data scientists play in creating an effective final deliverable. Finally, you will apply what you learned about data science by answering open-ended questions.
完成時間為 4 小時
7 個視頻 （總計 32 分鐘）, 4 個閱讀材料, 4 個測驗
審閱
來自什么是数据科学？ 的熱門評論
由 PV 提供2019年10月5日
The unique way the definitions of Data Science and Scientist were explained was exemplary. Hearing from experts and people who are practicing Data science is what made the course interesting thus far.
由 BB 提供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.
由 NF 提供2019年8月26日
This section of the course is decidedly an orientation and not so much an introduction. It leaves more to the student to wonder, which perhaps is intended to encourage students and not to hammer them.
由 SB 提供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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完成课程后，我会获得大学学分吗？
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