課程信息
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第 3 門課程(共 5 門)

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

根據您的日程表重置截止日期。

初級

完成時間大約為14 小時

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

英語(English)

字幕:英語(English), 韓語

您將獲得的技能

StatisticsLinear RegressionR ProgrammingRegression Analysis

第 3 門課程(共 5 門)

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

根據您的日程表重置截止日期。

初級

完成時間大約為14 小時

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

英語(English)

字幕:英語(English), 韓語

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 22 分鐘

About Linear Regression and Modeling

1 個視頻 (總計 2 分鐘), 2 個閱讀材料
1 個視頻
2 個閱讀材料
About Statistics with R Specialization10分鐘
More about Linear Regression and Modeling10分鐘
完成時間為 2 小時

Linear Regression

8 個視頻 (總計 47 分鐘), 3 個閱讀材料, 2 個測驗
8 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
3 個閱讀材料
Lesson Learning Objectives10分鐘
Lesson Learning Objectives10分鐘
Week 1 Suggested Readings and Practice10分鐘
2 個練習
Week 1 Practice Quiz8分鐘
Week 1 Quiz18分鐘
2
完成時間為 2 小時

More about Linear Regression

3 個視頻 (總計 24 分鐘), 5 個閱讀材料, 3 個測驗
3 個視頻
Inference for Linear Regression11分鐘
Variability Partitioning5分鐘
5 個閱讀材料
Lesson Learning Objectives10分鐘
Week 2 Suggested Readings and Exercises10分鐘
About Lab Choices10分鐘
Week 1 & 2 Lab Instructions (RStudio)10分鐘
Week 1 & 2 Lab Instructions (RStudio Cloud)10分鐘
3 個練習
Week 2 Practice Quiz6分鐘
Week 2 Quiz16分鐘
Week 1 & 2 Lab20分鐘
3
完成時間為 3 小時

Multiple Regression

7 個視頻 (總計 57 分鐘), 5 個閱讀材料, 3 個測驗
7 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
5 個閱讀材料
Lesson Learning Objectives10分鐘
Lesson Learning Objectives10分鐘
Week 3 Suggested Readings and Exercises10分鐘
Week 3 Lab Instructions (RStudio)10分鐘
Week 3 Lab Instructions (RStudio Cloud)10分鐘
3 個練習
Week 3 Practice Quiz16分鐘
Week 3 Quiz20分鐘
Week 3 Lab20分鐘
4
完成時間為 2 小時

Final Project

1 個閱讀材料, 1 個測驗
1 個閱讀材料
Project Files and Rubric10分鐘
4.7
183 個審閱Chevron Right

33%

完成這些課程後已開始新的職業生涯

45%

通過此課程獲得實實在在的工作福利

12%

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來自Linear Regression and Modeling 的熱門評論

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 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.

講師

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Mine Çetinkaya-Rundel

Associate Professor of the Practice
Department of Statistical Science

關於 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....

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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