課程信息
4.7
783 個評分
140 個審閱
專項課程

第 3 門課程(共 5 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
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可靈活調整截止日期

根據您的日程表重置截止日期。
初級

初級

完成時間(小時)

完成時間大約為14 小時

建議:4 weeks of study, 5-7 hours/week...
可選語言

英語(English)

字幕:英語(English)...

您將獲得的技能

StatisticsLinear RegressionR ProgrammingRegression Analysis
專項課程

第 3 門課程(共 5 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
初級

初級

完成時間(小時)

完成時間大約為14 小時

建議:4 weeks of study, 5-7 hours/week...
可選語言

英語(English)

字幕:英語(English)...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 22 分鐘

About Linear Regression and Modeling

This short module introduces basics about Coursera specializations and courses in general, this specialization: Statistics with R, and this course: Linear Regression and Modeling. Please take several minutes to browse them through. Thanks for joining us in this course!...
Reading
1 個視頻(共 2 分鐘), 2 個閱讀材料
Video1 個視頻
Reading2 個閱讀材料
About Statistics with R Specialization10分鐘
More about Linear Regression and Modeling10分鐘
完成時間(小時)
完成時間為 2 小時

Linear Regression

In this week we’ll introduce linear regression. Many of you may be familiar with regression from reading the news, where graphs with straight lines are overlaid on scatterplots. Linear models can be used for prediction or to evaluate whether there is a linear relationship between two numerical variables. ...
Reading
8 個視頻(共 47 分鐘), 3 個閱讀材料, 2 個測驗
Video8 個視頻
Correlation9分鐘
Residuals1分鐘
Least Squares Line11分鐘
Prediction and Extrapolation3分鐘
Conditions for Linear Regression10分鐘
R Squared4分鐘
Regression with Categorical Explanatory Variables5分鐘
Reading3 個閱讀材料
Lesson Learning Objectives10分鐘
Lesson Learning Objectives10分鐘
Week 1 Suggested Readings and Practice10分鐘
Quiz2 個練習
Week 1 Practice Quiz8分鐘
Week 1 Quiz18分鐘
2
完成時間(小時)
完成時間為 2 小時

More about Linear Regression

Welcome to week 2! In this week, we will look at outliers, inference in linear regression and variability partitioning. Please use this week to strengthen your understanding on linear regression. Don't forget to post your questions, concerns and suggestions in the discussion forum!...
Reading
3 個視頻(共 24 分鐘), 3 個閱讀材料, 3 個測驗
Video3 個視頻
Inference for Linear Regression11分鐘
Variability Partitioning5分鐘
Reading3 個閱讀材料
Lesson Learning Objectives10分鐘
Week 2 Suggested Readings and Exercises10分鐘
Instructions for Week 1 & 2 Lab10分鐘
Quiz3 個練習
Week 2 Practice Quiz6分鐘
Week 2 Quiz16分鐘
Week 1 & 2 Lab20分鐘
3
完成時間(小時)
完成時間為 3 小時

Multiple Regression

In this week, we’ll explore multiple regression, which allows us to model numerical response variables using multiple predictors (numerical and categorical). We will also cover inference for multiple linear regression, model selection, and model diagnostics. Hope you enjoy!...
Reading
7 個視頻(共 57 分鐘), 4 個閱讀材料, 3 個測驗
Video7 個視頻
Multiple Predictors11分鐘
Adjusted R Squared10分鐘
Collinearity and Parsimony3分鐘
Inference for MLR11分鐘
Model Selection11分鐘
Diagnostics for MLR7分鐘
Reading4 個閱讀材料
Lesson Learning Objectives10分鐘
Lesson Learning Objectives10分鐘
Week 3 Suggested Readings and Exercises10分鐘
Instructions for Week 3 Lab10分鐘
Quiz3 個練習
Week 3 Practice Quiz16分鐘
Week 3 Quiz20分鐘
Week 3 Lab20分鐘
4
完成時間(小時)
完成時間為 2 小時

Final Project

In this week you will use the data set provided to complete and report on a data analysis question. Please read the background information, review the report template (downloaded from the link in Lesson Project Information), and then complete the peer review assignment. ...
Reading
1 個閱讀材料, 1 個測驗
Reading1 個閱讀材料
Project Files and Rubric10分鐘
4.7
140 個審閱Chevron Right
職業方向

17%

完成這些課程後已開始新的職業生涯
工作福利

83%

通過此課程獲得實實在在的工作福利
職業晉升

20%

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創建者 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.

創建者 PSSep 15th 2017

fantastic course on linear regression, concepts are well explained followed by quiz and practical exercises.\n\nthough you need to complete the prior courses to understand this.

講師

Avatar

Mine Çetinkaya-Rundel

Associate Professor of the Practice
Department of Statistical Science

關於 Duke University

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....

關於 Statistics with R 專項課程

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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