课程信息

170,907 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

45%

通过此课程获得实实在在的工作福利

12%

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 3 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。
初级
完成时间大约为9 小时
英语(English)
字幕:英语(English), 韩语

您将获得的技能

StatisticsLinear RegressionR ProgrammingRegression Analysis

学生职业成果

33%

完成这些课程后已开始新的职业生涯

45%

通过此课程获得实实在在的工作福利

12%

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 3 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。
初级
完成时间大约为9 小时
英语(English)
字幕:英语(English), 韩语

提供方

杜克大学 徽标

杜克大学

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up94%(3,247 个评分)Info
1

1

完成时间为 22 分钟

About Linear Regression and Modeling

完成时间为 22 分钟
1 个视频 (总计 2 分钟), 2 个阅读材料
1 个视频
2 个阅读材料
About Statistics with R Specialization10分钟
More about Linear Regression and Modeling10分钟
完成时间为 2 小时

Linear Regression

完成时间为 2 小时
8 个视频 (总计 47 分钟), 3 个阅读材料, 2 个测验
8 个视频
Correlation9分钟
Residuals1分钟
Least Squares Line11分钟
Prediction and Extrapolation3分钟
Conditions for Linear Regression10分钟
R Squared4分钟
Regression with Categorical Explanatory Variables5分钟
3 个阅读材料
Lesson Learning Objectives10分钟
Lesson Learning Objectives10分钟
Week 1 Suggested Readings and Practice10分钟
2 个练习
Week 1 Practice Quiz8分钟
Week 1 Quiz18分钟
2

2

完成时间为 2 小时

More about Linear Regression

完成时间为 2 小时
3 个视频 (总计 24 分钟), 5 个阅读材料, 3 个测验
3 个视频
Inference for Linear Regression11分钟
Variability Partitioning5分钟
5 个阅读材料
Lesson Learning Objectives10分钟
Week 2 Suggested Readings and Exercises10分钟
About Lab Choices10分钟
Week 1 & 2 Lab Instructions (RStudio)10分钟
Week 1 & 2 Lab Instructions (RStudio Cloud)10分钟
3 个练习
Week 2 Practice Quiz6分钟
Week 2 Quiz16分钟
Week 1 & 2 Lab20分钟
3

3

完成时间为 3 小时

Multiple Regression

完成时间为 3 小时
7 个视频 (总计 57 分钟), 5 个阅读材料, 3 个测验
7 个视频
Multiple Predictors11分钟
Adjusted R Squared10分钟
Collinearity and Parsimony3分钟
Inference for MLR11分钟
Model Selection11分钟
Diagnostics for MLR7分钟
5 个阅读材料
Lesson Learning Objectives10分钟
Lesson Learning Objectives10分钟
Week 3 Suggested Readings and Exercises10分钟
Week 3 Lab Instructions (RStudio)10分钟
Week 3 Lab Instructions (RStudio Cloud)10分钟
3 个练习
Week 3 Practice Quiz16分钟
Week 3 Quiz20分钟
Week 3 Lab20分钟
4

4

完成时间为 2 小时

Final Project

完成时间为 2 小时
1 个阅读材料
1 个阅读材料
Project Files and Rubric10分钟

审阅

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关于 Statistics with R 专项课程

In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis. You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions....
Statistics with R

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.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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