统计推断

Statistical Inference

Learn how to draw conclusions about populations or scientific truths from data. This is the sixth course in the Johns Hopkins Data Science Course Track.

约翰霍普金斯大学

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统计推断

课程简介

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.

课程大纲

In this class students will learn the fundamentals of statistical inference. Students will receive a broad overview of the goals, assumptions and modes of performing statistical inference. Students will be able to perform inferential tasks in highly targeted settings and will be able to use the skills developed as a roadmap for more complex inferential challenges.

背景知识

先学习“数据科学家的常用工具”和“R语言编程”这两套课程。

授课形式

There will be weekly video lectures, quizzes, and peer assessments.

As part of this class you will be required to set up a GitHub account. GitHub is a tool for collaborative code sharing and editing. During this course and other courses in the Specialization you will be submitting links to files you publicly place in your GitHub account as part of peer evaluation. If you are concerned about preserving your anonymity you will need to set up an anonymous GitHub account and be careful not to include any information you do not want made available to peer evaluators.

常见问题

学完这门课,我能得到结课证书吗?
凡顺利完成本课程的学生均可获得由授课老师签发的结课证书。

选修这门课需要准备什么?
学生必须拥有一个激活的Github账户,并安装最新版的R语言和RStudio软件。

这门课与数据科学系列课程之间应该怎样合理安排?
这是该系列课程的第6部,我们强烈建议大家先学习《数据科学家的常用工具》和《R语言编程》这两套课程。

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