课程信息
47,476 次近期查看

第 3 门课程(共 5 门)

100% 在线

立即开始,按照自己的计划学习。

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14 小时

建议:4 weeks of study, 5-7 hours/week...

英语(English)

字幕:英语(English)

您将获得的技能

StatisticsLinear RegressionR ProgrammingRegression Analysis

第 3 门课程(共 5 门)

100% 在线

立即开始,按照自己的计划学习。

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14 小时

建议:4 weeks of study, 5-7 hours/week...

英语(English)

字幕:英语(English)

学习Course的学生是

  • Biostatisticians
  • Economists
  • Data Scientists
  • Data Analysts
  • Biologists

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 22 分钟

About Linear Regression and Modeling

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

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
完成时间为 2 小时

More about Linear Regression

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
完成时间为 3 小时

Multiple Regression

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
完成时间为 2 小时

Final Project

1 个阅读材料, 1 个测验
1 个阅读材料
Project Files and Rubric10分钟
4.7
179 个审阅Chevron Right

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

来自Linear Regression and Modeling 的热门评论

创建者 PKMay 24th 2017

Very good course taught by Dr. Mine who is as always a very good teacher. The videos are very eloquent and easy to understand. Highly recommend it if you are looking for a basic refresher course.

创建者 RZMay 25th 2019

I feel I'm running out of complement words for this course series. In conclusion, clear teaching, helpful project, and knowledgeable classmates that I can learn from through final project.

讲师

Avatar

Mine Çetinkaya-Rundel

Associate Professor of the Practice
Department of Statistical Science

关于 杜克大学

Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world....

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

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