Exploratory Data Analysis

开始时间: 04/22/2022 持续时间: Unknown

所在平台: CourseraArchive

课程类别: 计算机科学

大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/exploratory-data-analysis

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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.

探索性数据分析:本课程涵盖总结数据的基本探索性技术。这些技术通常在正式建模开始之前应用,并且可以帮助指导更复杂的统计模型的开发。探索性技术对于消除或强化数据可以解决的关于世界的潜在假设也很重要。我们将详细介绍R中的绘图系统以及构建数据图形的一些基本原理。我们还将介绍一些用于可视化高维数据的常见多元统计技术。

课程大纲

Welcome to Week 2 of Exploratory Data Analysis. This week covers some of the more advanced graphing systems available in R: the Lattice system and the ggplot2 system. While the base graphics system provides many important tools for visualizing data, it was part of the original R system and lacks many features that may be desirable in a plotting system, particularly when visualizing high dimensional data. The Lattice and ggplot2 systems also simplify the laying out of plots making it a much less tedious process.

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课程简介

This course covers the essential exploratory techniques for summarizing data. These techniques are t

课程标签

数据分析探索 数据科学 数据科学专项课程 数据分析 数据分析初探

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