Master Data Analysis with R. Statistical mastery of data analysis including basic data visualization, statistical testing and inference, and linear modeling

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Mine Çetinkaya-Rundel

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Data Analysis with R 专项课程杜克大学

您将学到的内容有

Analyze and visualize data
Perform hypothesis tests, interpret statistical results (e.g., p-values), and report the results of your analysis to clients
Fit, examine, and utilize regression models to examine relationships between multiple variables
Install and use R and RStudio

您将获得的技能

Statistics
R Programming
Rstudio
Exploratory Data Analysis
Statistical Inference
Statistical Hypothesis Testing
Linear Regression
Regression Analysis

关于此专项课程

42,930 次近期查看

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.

应用的学习项目

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.

可分享的证书

完成后获得证书

100% 在线课程

立即开始，按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

初级

无需相关领域的预备知识无需相关经验。

完成课程大约需要 5 个月

建议进度：2 小时/周

英语（English）

字幕：英语（English）, 阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 西班牙语（Spanish）

可分享的证书

完成后获得证书

100% 在线课程

立即开始，按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

初级

无需相关领域的预备知识无需相关经验。

完成课程大约需要 5 个月

建议进度：2 小时/周

英语（English）

专项课程的运作方式

加入课程

Coursera 专项课程是帮助您掌握一门技能的一系列课程。若要开始学习，请直接注册专项课程，或预览专项课程并选择您要首先开始学习的课程。当您订阅专项课程的部分课程时，您将自动订阅整个专项课程。您可以只完成一门课程，您可以随时暂停学习或结束订阅。访问您的学生面板，跟踪您的课程注册情况和进度。

实践项目

每个专项课程都包括实践项目。您需要成功完成这个（些）项目才能完成专项课程并获得证书。如果专项课程中包括单独的实践项目课程，则需要在开始之前完成其他所有课程。

获得证书

在结束每门课程并完成实践项目之后，您会获得一个证书，您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。

此专项课程包含 3 门课程

课程1

课程 1

Introduction to Probability and Data with R

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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 data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.

课程2

课程 2

推论统计

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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 interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data

课程3

课程 3

Linear Regression and Modeling

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This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio.

授课教师

Mine Çetinkaya-Rundel

Associate Professor of the Practice

Department of Statistical Science

341,052 个学生

7 门课程

提供方

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.

常见问题

退款政策是如何规定的？
如果订阅，您可以获得 7 天免费试听，在此期间，您可以取消课程，无需支付任何罚金。在此之后，我们不会退款，但您可以随时取消订阅。请阅读我们完整的退款政策。
我可以只注册一门课程吗？
可以！点击您感兴趣的课程卡开始注册即可。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分，系统会自动为您订阅完整的专项课程。访问您的学生面板，跟踪您的进度。
有助学金吗？
是的。如果您负担不起学习计划的注册费，则可以在选择学习计划时申请助学金或奖学金。如果您选择的学习计划提供助学金或奖学金，则您将在描述页面上看到一个申请链接。
我可以免费学习课程吗？
完成注册课程后，您可以学习专项课程中的所有课程，并且完成作业后可以获得证书。如果您只想阅读和查看课程内容，可以免费旁听该课程。如果您无法承担课程费用，可以申请助学金。
此课程是 100% 在线学习吗？是否需要现场参加课程？
此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。
What background knowledge is necessary?
Basic math, no programming experience required. A genuine interest in data analysis is a plus!
In the later courses in the Specialization, we assume knowledge and skills equivalent to those which would have been gained in the prior courses (for example: if you decide to take course four, Bayesian Statistics, without taking the prior three courses we assume you have knowledge of frequentist statistics and R equivalent to what is taught in the first three courses).
Do I need to take the courses in a specific order?
Yes.
完成专项课程后我会获得大学学分吗？
Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
What if I already have a certificate from Data Analysis and Statistical Inference?
In this specialization, R is a requirement, and the labs have been enhanced and revised from the previous course. Success in the fourth course and the capstone project will depend heavily on successfully completing the first three courses in this specialization. Therefore, we require all students complete all courses to obtain the certificate.
Do I need specific software?
Yes. You will need R and RStudio. Both are free and publicly available. You will need administrator access to your computer to install this software.

还有其他问题吗？请访问学生帮助中心。