This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results.
提供方
数据科学管理 專項課程约翰霍普金斯大学課程信息
78,408 次近期查看
學生職業成果
29%
完成這些課程後已開始新的職業生涯
30%
通過此課程獲得實實在在的工作福利
10%
加薪或升職
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。
第 3 門課程（共 5 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
完成時間大約為6 小時
英語（English）
字幕：英語（English）, 日語
您將學到的內容有
Differentiate between various types of data pulls
Describe the basic data analysis iteration
Explore datasets to determine if data is appropriate for a project
Use statistical findings to create convincing data analysis presentations
您將獲得的技能
Data AnalysisCommunicationInterpretationExploratory Data Analysis
學生職業成果
29%
完成這些課程後已開始新的職業生涯
30%
通過此課程獲得實實在在的工作福利
10%
加薪或升職
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。
第 3 門課程（共 5 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
完成時間大約為6 小時
英語（English）
字幕：英語（English）, 日語
提供方
约翰霍普金斯大学
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.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 6 小時
Managing Data Analysis
Welcome to Managing Data Analysis! This course is one module, intended to be taken in one week. The course works best if you follow along with the material in the order it is presented. Each lecture consists of videos and reading materials that expand on the lecture. I'm excited to have you in the class and look forward to your contributions to the learning community. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started, and I hope you enjoy the course!
完成時間為 6 小時
19 個視頻 （總計 144 分鐘）, 17 個閱讀材料, 7 個測驗
19 個視頻
Data Analysis Iteration8分鐘
Stages of Data Analysis1分鐘
Six Types of Questions6分鐘
Characteristics of a Good Question6分鐘
Exploratory Data Analysis Goals & Expectations11分鐘
Using Statistical Models to Explore Your Data (Part 1)13分鐘
Using Statistical Models to Explore Your Data (Part 2)5分鐘
Exploratory Data Analysis: When to Stop6分鐘
Making Inferences from Data: Introduction5分鐘
Populations Come in Many Forms4分鐘
Inference: What Can Go Wrong7分鐘
General Framework8分鐘
Associational Analyses10分鐘
Prediction Analyses10分鐘
Inference vs. Prediction12分鐘
Interpreting Your Results10分鐘
Routine Communication in Data Analysis6分鐘
Making a Data Analysis Presentation5分鐘
17 個閱讀材料
Pre-Course Survey10分鐘
Course Textbook: The Art of Data Science10分鐘
Conversations on Data Science10分鐘
Data Science as Art10分鐘
Epicycles of Analysis10分鐘
Six Types of Questions10分鐘
Characteristics of a Good Question10分鐘
EDA Check List10分鐘
Assessing a Distribution10分鐘
Assessing Linear Relationships10分鐘
Exploratory Data Analysis: When Do We Stop?10分鐘
Factors Affecting the Quality of Inference10分鐘
A Note on Populations10分鐘
Inference vs. Prediction10分鐘
Interpreting Your Results10分鐘
Routine Communication10分鐘
Post-Course Survey10分鐘
7 個練習
Data Analysis Iteration10分鐘
Stating and Refining the Question16分鐘
Exploratory Data Analysis10分鐘
Inference10分鐘
Formal Modeling, Inference vs. Prediction10分鐘
Interpretation10分鐘
Communication10分鐘
審閱
來自数据分析管理的熱門評論
由 BC 提供2019年12月30日
Like other reviewers said, this course is larger than the two previous courses. The content is excellent but I am giving 4/5 stars because I found many misspelled words throughout the course lectures.
由 EL 提供2017年2月28日
A long course compared to others in the specialization, but a lot of great material. Very well presented, the instructors know how to present this material and make it easy to grasp and understand.
由 ST 提供2016年11月22日
The course is full of the cases and the real life examples coupled with the theory background. Its very simple to understand and the course will definitely be of an value for people looking for
由 KL 提供2018年4月16日
Great course for those who want a comprehensive overview of an analysis from A-Z. The professor explains each aspect in perfect detail, gives easy to understand examples, very comprehensive.
關於 数据科学管理 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.
常見問題
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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.
我订阅此专项课程后会得到什么？
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退款政策是如何规定的？
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。
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