Course Code: bspintrk
Duration: 14 hours
Prerequisites:
  • 有基本程式设计背景者优先

观众

  • 数据分析师
Overview:

R 是一个非常流行的开源环境，用于统计计算、数据分析和图形。本课程向学生介绍 R 程式设计语言。 它涵盖了语言基础知识、库和高级概念。

这种由讲师指导的实时培训（在线或现场）面向希望使用 R 程式设计来操作数据、执行基本数据分析并创建引人注目的视觉化以获得见解的初级数据分析师。

在本次培训结束时，参与者将能够：

  • 了解 R 的基础知识 Programming。
  • 应用基础数据科学流程。
  • 创建资料的视觉化表示。

课程形式

  • 互动讲座和讨论。
  • 大量的练习和练习。
  • 在即时实验室环境中动手实施。

课程自定义选项

  • 要申请本课程的定制培训，请联系我们进行安排。
Course Outline:

Day One：语言基础

  • 课程介绍
  • 关于 Data Science
    • Data Science 定义
    • 执行过程 Data Science。
  • 介绍 R Language
  • 变数和类型
  • 控制结构 （Loops / Conditionals）
  • R Scalars、向量和矩阵
    • 定义 R 向量
    • 预科
  • 字串和文本操作
    • 字元数据类型
    • 档IO
  • 清单
  • 功能
    • 函数介绍
    • 闭包
    • lapply/sapply 函数
  • 数据帧
  • 所有部分的实验室

第二天：中级 R Programming

  • DataFrames 和档 I/O
  • 从档中读取数据
  • 数据准备
  • 内置数据集
  • 可视化
    • 图形包
    • plot（） / barplot（） / hist（） / boxplot（） / 散点图
    • 热图
    • ggplot2 包 （qplot（）， ggplot（））
  • 使用 Dplyr 进行探索
  • 所有部分的实验室 
Sites Published:

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Serbia - Introductory R (Basic to Intermediate)

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Uzbekistan - Introductory R (Basic to Intermediate)