Data Analytics With R培训

课程编码

dataar

课程时长

21 小时 通常来说是3天,包括中间休息。

要求

  • Basic programming background is preferred

Setup

课程概览

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编程语言。它涵盖了语言基础,库和高级概念。使用真实世界数据进行高级数据分析和绘图。

听众

开发人员/数据分析

持续时间

3天

格式

讲座和实践

Machine Translated

课程大纲

Day One: Language Basics

  • Course Introduction
  • About Data Science
    • Data Science Definition
    • Process of Doing Data Science.
  • Introducing R Language
  • Variables and Types
  • Control Structures (Loops / Conditionals)
  • R Scalars, Vectors, and Matrices
    • Defining R Vectors
    • Matricies
  • String and Text Manipulation
    • Character data type
    • File IO
  • Lists
  • Functions
    • Introducing Functions
    • Closures
    • lapply/sapply functions
  • DataFrames
  • Labs for all sections

Day Two: Intermediate R Programming

  • DataFrames and File I/O
  • Reading data from files
  • Data Preparation
  • Built-in Datasets
  • Visualization
    • Graphics Package
    • plot() / barplot() / hist() / boxplot() / scatter plot
    • Heat Map
    • ggplot2 package (qplot(), ggplot())
  • Exploration With Dplyr
  • Labs for all sections

Day Three: Advanced Programming With R

  • Statistical Modeling With R
    • Statistical Functions
    • Dealing With NA
    • Distributions (Binomial, Poisson, Normal)
  • Regression
    • Introducing Linear Regressions
  • Recommendations
  • Text Processing (tm package / Wordclouds)
  • Clustering
    • Introduction to Clustering
    • KMeans
  • Classification
    • Introduction to Classification
    • Naive Bayes
    • Decision Trees
    • Training using caret package
    • Evaluating Algorithms
  • R and Big Data
    • Connecting R to databases
    • Big Data Ecosystem
  • Labs for all sections

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