Exploratory Data Analysis

开始时间: 04/22/2022 持续时间: 4 weeks

所在平台: CourseraArchive

课程类别: 信息,技术与设计

大学或机构: Johns Hopkins University(约翰•霍普金斯大学)

授课老师: Roger Peng

课程主页: https://www.coursera.org/course/exdata

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课程详情

This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.

课程大纲

After successfully completing this course you will be able to make visual representations of data using the base, lattice, and ggplot2 plotting systems in R, apply basic principles of data graphics to create rich analytic graphics from different types of datasets, construct exploratory summaries of data in support of a specific question, and create visualizations of multidimensional data using exploratory multivariate statistical techniques.

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课程简介

Learn the essential exploratory techniques for summarizing data. This is the fourth course in the Johns Hopkins Data Science Course Track.

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