课程信息

19,557 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

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6 小时

建议:1 week of study, 4-6 hours...

英语(English)

字幕:英语(English)

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

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6 小时

建议:1 week of study, 4-6 hours...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up91%(3,141 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 160 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
4.4
191 条评论Chevron Right

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Statistics review
(44)
创建者 SMAug 20th 2017

A very good and concise course that helps to understand the basics of the Data Science and its applications. The examples are very relevant and helps to understand the topic easily.

创建者 ESNov 12th 2017

Highly educational course on the realities of data analysis. Many good tips for your own analyses as well as for managing others responsible for coherent and accurate analyses.

提供方

约翰霍普金斯大学 徽标

约翰霍普金斯大学

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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