课程信息
6,783 次近期查看

Learner Career Outcomes

17%

完成这些课程后已开始新的职业生涯

33%

通过此课程获得实实在在的工作福利

17%

加薪或升职

第 5 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。

完成时间大约为9 小时

建议:5-10 hours/week...

英语(English)

字幕:英语(English)

您将获得的技能

Model SelectionBayesian StatisticsStatistical AnalysisR Programming

Learner Career Outcomes

17%

完成这些课程后已开始新的职业生涯

33%

通过此课程获得实实在在的工作福利

17%

加薪或升职

第 5 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。

完成时间大约为9 小时

建议:5-10 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 1 小时

About the Capstone Project

1 个视频 (总计 6 分钟), 4 个阅读材料
4 个阅读材料
Introduction to the Capstone Course10分钟
Tips for Success and Suggested Work Pace10分钟
What to Do This Week5分钟
Learning Objectives for Courses 1-410分钟
2
完成时间为 1 小时

Exploratory Data Analysis (EDA)

2 个阅读材料, 1 个测验
2 个阅读材料
What to Do This Week10分钟
EDA Quiz - Assignment Guide10分钟
1 个练习
EDA Quiz28分钟
3
完成时间为 5 分钟

EDA and Basic Model Selection - Submission

1 个阅读材料
1 个阅读材料
What to Do This Week5分钟
4
完成时间为 2 小时

EDA and Basic Model Selection - Evaluation

1 个阅读材料, 1 个测验
1 个阅读材料
What to Do This Week10分钟
4.7
28 条评论Chevron Right

来自Statistics with R Capstone的热门评论

创建者 JNMar 24th 2017

I think this is a very advisable course as a whole, The capstone offers a good occasion to put into practice what has been learned during the four previous courses and also works as a sort of review.

创建者 ACJul 13th 2017

Great course, learned a lot and got me started on another project that I've turned into a really nice portfolio item. I feel much more comfortable with R and statistics principles.

讲师

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Merlise A Clyde

Professor
Department of Statistical Science
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Colin Rundel

Assistant Professor of the Practice
Statistical Science
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David Banks

Professor of the Practice
Statistical Science
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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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