课程信息

57,298 次近期查看

学生职业成果

33%

完成这些课程后已开始新的职业生涯

14%

通过此课程获得实实在在的工作福利
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 4 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5 小时
英语(English)
字幕:英语(English)

您将学到的内容有

  • Identify strengths and weaknesses in experimental designs

  • Learn novel solutions for managing data pulls

  • Describe common pitfalls in communicating data analyses

  • Understand a typical day in the life of a data analysis manager

您将获得的技能

StatisticsData ScienceData AnalysisData Management

学生职业成果

33%

完成这些课程后已开始新的职业生涯

14%

通过此课程获得实实在在的工作福利
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 4 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5 小时
英语(English)
字幕:英语(English)

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 Up91%(3,399 个评分)Info
1

1

完成时间为 5 小时

Introduction, the perfect data science experience

完成时间为 5 小时
22 个视频 (总计 159 分钟), 10 个阅读材料, 6 个测验
22 个视频
Data science in the ideal versus real life Part 14分钟
Data science in the ideal versus real life Part 23分钟
Examples7分钟
Machine Learning vs. Traditional Statistics Part 114分钟
Machine Learning vs. Traditional Statistics Part 23分钟
Managing the Data Pull11分钟
Experimental design and observational analysis10分钟
Causality part 18分钟
Causality Part 29分钟
What Can Go Wrong?: Confounding5分钟
A/B Testing9分钟
Sampling bias and random sampling5分钟
Blocking and adjustment11分钟
Multiplicity6分钟
Effect size, significance, & modeling7分钟
Comparison with benchmark effects4分钟
Negative controls5分钟
Non-significance5分钟
Estimation Target is Relevant10分钟
Report writing8分钟
Version control4分钟
10 个阅读材料
Pre-Course Survey10分钟
Course structure10分钟
Grading10分钟
The data pull is clean10分钟
The experiment is carefully designed10分钟
The experiment is carefully designed, things to do10分钟
Results of analyses are clear10分钟
The decision is obvious10分钟
The analysis product is awesome10分钟
Post-Course Survey10分钟
6 个练习
The Data Pull is Clean10分钟
The experiment is carefully designed principles10分钟
The experiment is carefully designed, things to do10分钟
Results of analyses are clear8分钟
The Decision is Obvious10分钟
The analysis product is awesome10分钟

审阅

来自生活中的数据科学的热门评论

查看所有评论

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

常见问题

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • 您注册课程后,将有权访问专项课程中的所有课程,并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

  • 如果订阅,您可以获得 7 天免费试听,在此期间,您可以取消课程,无需支付任何罚金。在此之后,我们不会退款,但您可以随时取消订阅。请阅读我们完整的退款政策

  • 是的,Coursera 可以为无法承担费用的学生提供助学金。通过点击左侧“注册”按钮下的“助学金”链接可以申请助学金。您可以根据屏幕提示完成申请,申请获批后会收到通知。您需要针对专项课程中的每一门课程完成上述步骤,包括毕业项目。了解更多

还有其他问题吗?请访问 学生帮助中心