Skip to content

Here are the practices of Intro to Big Data Analytics. These are from the time back when I was an exchange student in South Korea Sungkyunkwan University :)

Notifications You must be signed in to change notification settings

algiknr/IntroToBigDataAnalyticsSKKU

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SWE 3049 - Introduction to Big Data Analytics

Course Catalog Description:

This undergraduate course will focus on various techniques and algorithmic methods for big data analytics. The emphasis will be learning key data mining algorithms for analyzing massive data sets with theoretical analysis of the methods and their practical applications. Several hands-on exercises will be provided using Spark, Hadoop, Python, and Matlab where students will learn big data programming and applications. Also, using social networks and the World Wide Web as real-world big data applications, scalable graph mining techniques will be discussed.

Instructor : WHANG, JOYCE JIYOUNG

Practice 1 Python

Practice 2 Python

Practice 3 Python

Practice 4 Python

Practice 5 Python

Practice 6 Python

Practice 7 Python

Practice 9 Python

About

Here are the practices of Intro to Big Data Analytics. These are from the time back when I was an exchange student in South Korea Sungkyunkwan University :)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published