课程信息

179,105 次近期查看

学生职业成果

26%

完成这些课程后已开始新的职业生涯

27%

通过此课程获得实实在在的工作福利

10%

加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 1 门课程(共 5 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为4 小时
英语(English)
字幕:中文(繁体), 阿拉伯语(Arabic), 俄语(Russian), 土耳其语(Turkish), 英语(English), 印地语...

您将学到的内容有

  • Describe Data Science’s role in various contexts

  • Understand how Statistics and Machine Learning affect Data Science

  • Use the key terms used by data scientist

  • Predict whether a Data Science project will be successful

您将获得的技能

Data ScienceData AnalysisMachine LearningProject

学生职业成果

26%

完成这些课程后已开始新的职业生涯

27%

通过此课程获得实实在在的工作福利

10%

加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 1 门课程(共 5 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为4 小时
英语(English)
字幕:中文(繁体), 阿拉伯语(Arabic), 俄语(Russian), 土耳其语(Turkish), 英语(English), 印地语...

提供方

约翰霍普金斯大学 徽标

约翰霍普金斯大学

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up93%(14,726 个评分)Info
1

1

完成时间为 4 小时

A Crash Course in Data Science

完成时间为 4 小时
11 个视频 (总计 78 分钟), 8 个阅读材料, 9 个测验
11 个视频
What is Data Science?5分钟
Statistics by example activities11分钟
Machine learning, the basics13分钟
Machine learning further reading3分钟
What is Software Engineering for Data Science?6分钟
The Structure of a Data Science Project6分钟
The outputs of a data science experiment6分钟
The four secrets of a successful data science experiment14分钟
Data Scientist Toolbox5分钟
Separating Hype from Value3分钟
8 个阅读材料
Specialization Textbook10分钟
Grading10分钟
Pre-Course Survey10分钟
Statistics by example activities10分钟
Machine learning10分钟
The outputs of a data science experiment10分钟
The four secrets of a successful data science experiment10分钟
Post-Course Survey10分钟
9 个练习
What is data science?2分钟
What is statistics good for?10分钟
Machine learning8分钟
Quiz: Software Engineering6分钟
Structure of a Data Science Project8分钟
The outputs of a data science experiment10分钟
Defining Success in Data Science8分钟
Data scientist toolbox8分钟
Separating hype from value8分钟

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关于 数据科学管理 专项课程

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....
数据科学管理

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