課程信息
4.5
4,227 個評分
829 個審閱
專項課程

第 1 門課程(共 5 門),位於

100% online

100% online

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為4 小時

建議:1 week of study, 4-6 hours...
可選語言

英語(English)

字幕:英語(English), 中文(繁體), 俄語(Russian), 土耳其語(Turkish), 印地語...

您將學到的內容有

  • Check

    Describe Data Science’s role in various contexts

  • Check

    Predict whether a Data Science project will be successful

  • Check

    Understand how Statistics and Machine Learning affect Data Science

  • Check

    Use the key terms used by data scientist

您將獲得的技能

Data ScienceData AnalysisMachine LearningProject
專項課程

第 1 門課程(共 5 門),位於

100% online

100% online

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為4 小時

建議:1 week of study, 4-6 hours...
可選語言

英語(English)

字幕:英語(English), 中文(繁體), 俄語(Russian), 土耳其語(Turkish), 印地語...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 4 小時

A Crash Course in Data Science

This one-module course constitutes the first "week" of the Executive Data Science Specialization. This is an intensive introduction to what you need to know about data science itself. You'll learn important terminology and how successful organizations use data science....
Reading
11 個視頻(共 78 分鐘), 8 個閱讀材料, 9 個測驗
Video11 個視頻
What is Data Science?5分鐘
Statistics by example activities11分鐘
Machine learning, the basics13分鐘
Machine learning further reading3分鐘
What is Software Engineering for Data Science?6分鐘
The Structure of a Data Science Project6分鐘
The outputs of a data science experiment6分鐘
The four secrets of a successful data science experiment14分鐘
Data Scientist Toolbox5分鐘
Separating Hype from Value3分鐘
Reading8 個閱讀材料
Specialization Textbook10分鐘
Grading10分鐘
Pre-Course Survey10分鐘
Statistics by example activities10分鐘
Machine learning10分鐘
The outputs of a data science experiment10分鐘
The four secrets of a successful data science experiment10分鐘
Post-Course Survey10分鐘
Quiz9 個練習
What is data science?2分鐘
What is statistics good for?10分鐘
Machine learning8分鐘
Quiz: Software Engineering6分鐘
Structure of a Data Science Project8分鐘
The outputs of a data science experiment10分鐘
Defining Success in Data Science8分鐘
Data scientist toolbox8分鐘
Separating hype from value8分鐘
4.5
職業方向

26%

完成這些課程後已開始新的職業生涯
工作福利

83%

通過此課程獲得實實在在的工作福利
職業晉升

19%

加薪或升職

熱門審閱

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Well taught
(48)
Basic course
(76)
創建者 SJSep 10th 2017

This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.

創建者 JMJan 2nd 2018

It is a very good course even if you are familiar with some aspects of data science work. If I have to make a suggestion, I would remark the importance of design skills during a data product,

講師

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Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health
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Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

關於 Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

關於 Executive Data Science 專項課程

Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects....
Executive Data Science

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