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Coursera – Computing for Data Analysis

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Coursera - Computing for Data Analysis 

MP4 | 960 x 540 (1.778) @ 59.940 fps | Language: English | 715 MB Genre: eLearning

This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods.

About the Course
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment, discuss generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, creating informative data graphics, accessing R packages, creating R packages with documentation, writing R functions, debugging, and organizing and commenting R code. Topics in statistical data analysis and optimization will provide working examples.

A student who has completed this course is able to:

Read formatted data into R
Subset, remove missing values from, and clean tabular data
Write custom functions in R to implement new functionality and making use of control structures such as loops and conditionals
Use the R code debugger to identify problems in R functions
Make a scatterplot/boxplot/histogram/image plot and modify a plot with custom annotations
Define a new data class in R and write methods for that class

Coursera - Computing for Data Analysis

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  1. Coursera – 用于数据分析的计算 本课程是关于进行有效的数据分析而必备的基础计算知识.你将会学习R编程用于读取数据、编写函数、制作信息图表以及应用现代的统计方法。 关于本课程:在课程中,你将会学习如何利用R编程,以及如何使用R进行有效的数据分析。你将学习如何安装和配置在统计编程环境中必备的软件,学习作为高级统计语言的泛型编程语言。课程还会降到统计计算中的实用问题,这包括R编程、将数据读取到R、创建信息丰富的数据图表、访问R软件包、利用文档创建R软件包、编写R函数、调试以及组织和注释R代码。统计数据分析中的内容和优化将会提供实际的例子。
    wilde(特殊组-翻译)2年前 (2015-01-16)