Statistical Software (2014 Spring)

Introduction

This course is designed as the advanced level course of Statistical Computing (under graduate level). You will learn various topics like statistical parallel computing, techniques for big data analysis,  text basic mining tools, statistical vitalization tools, developing your own packages.

Prerequisites

  • Basic knowledge of statistical programming
  • Basic knowledge of R

Course Literature

Course contents

Part I: Efficient statistical programming

Part II: Statistical programming for big data

Part III: Special topics

 

Lab Exercises

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