Statistics with R 專項課程

Master Statistics with R。 Statistical mastery of data analysis including inference, modeling, and Bayesian approaches.

本專項課程介紹

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.

製作方：

5 courses

按照建議的順序或選擇您自己的順序。

項目

旨在幫助您實踐和應用所學到的技能。

證書

在您的簡歷和領英中展示您的新技能。

課程

Beginner Specialization.: No prior experience required.

第 1 門課程
Introduction to Probability and Data
課程學習時間
5 weeks of study, 5-7 hours/week
字幕
English, Korean
課程概述
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory
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第 2 門課程
Inferential Statistics
課程學習時間
5 weeks of study, 5-7 hours/week
字幕
English
課程概述
This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretabl
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第 3 門課程
线性回归和建模
課程學習時間
学习时间4周，每周5-7个小时
字幕
English
課程概述
这门课程介绍一元和多元线性回归模型。这些模型能够让你获得数据集和一个连续变量之间的关系。（比如说：）在教授的外表吸引程度和学生的评分之间有什么关联么？我们可以根据孩子母亲的特定特征来预测这个孩子的测试分数么？在这门课程当中，你将会学习线性回归的基本理论，运用免费统计软件R、RStudio分析一些数据例子来学习如何拟合、检验，以及如
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第 4 門課程
Bayesian Statistics
課程學習時間
5 weeks of study, 5-7 hours/week
字幕
English
課程概述
This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced t
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第 5 門課程
Statistics with R Capstone
計劃開課班次：Dec 3
課程學習時間
5-10 hours/week
字幕
English
畢業項目介紹
The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. A large and complex dataset will be provided to learners and the analysis will require the application of a va
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製作方

Duke University is consistently ranked as a top research institution, with graduate and professional schools among the leaders in their fields.
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.