1、培訓過程中，如有部分內容理解不透或消化不好，可免費在以后培訓班中重聽；
        2、培訓結束后,授課老師留給學員聯系方式,保障培訓效果,免費提供課后技術支持。
        3、培訓合格學員可享受免費推薦就業機會。

• Basic overview of R and R Studio
  R overview
  R Studio Environment Windows
  Script Editor Window
  Data Environment
  Console
  Plots/Help/Packages
  Working with Data
  Introduction to vectors and matrices (data.frame)
  Different types of variables
  Numeric, Integer, factor etc
  Changing variable types
  Importing data using R Studio menu functions
  Removing variables ls() command
  Creating variables at the console prompt – single, vector, data frame
  Naming vectors and matrices
  Head and tail commands
  Introduction to dim, length and class
  Command line import (reading .csv and tab delimited .txt files)
  Attaching and detaching data (advantages vs data.frame$)
  Merging data using cbind and rbind
  Exploratory Data Analysis
  Summarising data
  Summary command on both vectors and data frames
  Sub-setting data using square brackets
  summarising and creating new variables
  Table and summary commands
  Summary statistic commands
  Mean
  Median
  Standard Deviation
  Variance
  Count & frequencies
  Min & Max,
  Quartiles
  Percentiles
  Correlation
  Exporting data
  Write table .txt
  Write to a .csv file
  R Workspace
  Concept of Working Directories and Projects (menu driven and code – setwd())
  Introduction to R scripts
  Creating R Scripts
  Saving scripts
  Workspace images
  Concepts of packages
  Installing packages
  Loading packages into memory
  Plotting data (using standard default R plot command and ggplot2 package)
  Bar Charts and Histograms
  Boxplots
  Line charts / time series
  Scatter plots
  Stem and leaf
  Mosaic
  Modifying plots
  Titles
  Legends
  Axis
  Plot Area
  Exporting a plot to a third party application