课程信息

240,507 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

22%

通过此课程获得实实在在的工作福利
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 2 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15 小时
英语(English)
字幕:英语(English), 韩语

您将获得的技能

Statistical InferenceStatistical Hypothesis TestingR Programming

学生职业成果

33%

完成这些课程后已开始新的职业生涯

22%

通过此课程获得实实在在的工作福利
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 2 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15 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 Up93%(6,074 个评分)Info
1

1

完成时间为 20 分钟

About the Specialization and the Course

完成时间为 20 分钟
2 个阅读材料
2 个阅读材料
About Statistics with R Specialization10分钟
More about Inferential Statistics10分钟
完成时间为 3 小时

Central Limit Theorem and Confidence Interval

完成时间为 3 小时
7 个视频 (总计 65 分钟), 6 个阅读材料, 3 个测验
7 个视频
Sampling Variability and CLT20分钟
CLT (for the mean) examples10分钟
Confidence Interval (for a mean)11分钟
Accuracy vs. Precision7分钟
Required Sample Size for ME4分钟
CI (for the mean) examples5分钟
6 个阅读材料
Lesson Learning Objectives10分钟
Lesson Learning Objectives10分钟
Week 1 Suggested Readings and Practice Exercises10分钟
About Lab Choices10分钟
Week 1 Lab Instructions (RStudio)10分钟
Week 1 Lab Instructions (RStudio Cloud)10分钟
3 个练习
Week 1 Practice Quiz12分钟
Week 1 Quiz14分钟
Week 1 Lab12分钟
2

2

完成时间为 2 小时

Inference and Significance

完成时间为 2 小时
7 个视频 (总计 59 分钟), 5 个阅读材料, 3 个测验
7 个视频
Hypothesis Testing (for a mean)14分钟
HT (for the mean) examples9分钟
Inference for Other Estimators10分钟
Decision Errors8分钟
Significance vs. Confidence Level6分钟
Statistical vs. Practical Significance7分钟
5 个阅读材料
Lesson Learning Objectives10分钟
Lesson Learning Objectives10分钟
Week 2 Suggested Readings and Practice Exercises10分钟
Week 2 Lab Instructions (RStudio)10分钟
Week 2 Lab Instructions (RStudio Cloud)10分钟
3 个练习
Week 2 Practice Quiz10分钟
Week 2 Quiz16分钟
Week 2 Lab12分钟
3

3

完成时间为 3 小时

Inference for Comparing Means

完成时间为 3 小时
11 个视频 (总计 84 分钟), 5 个阅读材料, 3 个测验
11 个视频
t-distribution7分钟
Inference for a mean9分钟
Inference for comparing two independent means8分钟
Inference for comparing two paired means9分钟
Power11分钟
Comparing more than two means6分钟
ANOVA9分钟
Conditions for ANOVA2分钟
Multiple comparisons6分钟
Bootstrapping8分钟
5 个阅读材料
Lesson Learning Objectives10分钟
Lesson Learning Objectives10分钟
Week 3 Suggested Readings and Practice 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 Quiz28分钟
Week 3 Lab14分钟
4

4

完成时间为 4 小时

Inference for Proportions

完成时间为 4 小时
11 个视频 (总计 118 分钟), 5 个阅读材料, 3 个测验
11 个视频
Sampling Variability and CLT for Proportions15分钟
Confidence Interval for a Proportion9分钟
Hypothesis Test for a Proportion9分钟
Estimating the Difference Between Two Proportions17分钟
Hypothesis Test for Comparing Two Proportions13分钟
Small Sample Proportions10分钟
Examples4分钟
Comparing Two Small Sample Proportions5分钟
Chi-Square GOF Test14分钟
The Chi-Square Independence Test11分钟
5 个阅读材料
Lesson Learning Objectives10分钟
Lesson Learning Objectives10分钟
Week 4 Suggested Readings and Practice Exercises10分钟
Week 4 Lab Instructions (RStudio)10分钟
Week 4 Lab Instructions (RStudio Cloud)10分钟
3 个练习
Week 4 Practice Quiz18分钟
Week 4 Quiz24分钟
Week 4 Lab26分钟

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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

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