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Introduction to Data Science

Introduction to Data Science

Fall 2015
Class code: 31012-00

Professor: Youngseok Lee (lee@cnu.ac.kr)

  • Date
    • Thursday 10:00 AM - 12:50 PM, Room 5410
  • Textbook 
    • Internet documents

  • Prerequisite Class: basic programming skills (Java)
  • Overview
    • Covers basics of data science like data ingestion, processing, analysis and visualization
    • Python, R programming
    • Big data software platform like Hadoop and Spark

  • Evaluation
    • 45% Assignment
    • 50% Mid-term exam, Final exam
    • 5%   Attendance
  • Grade
    • Relative grading according to CNU rule
  • Schedule
    • Introduction
    • Open data basics with Tashu (Taejon public bicycle data)
    • Python programming
    • R programming
    • Big data software platform
    • Hadoop/MapReduce
    • HDFS
    • Spark/Storm
    • Data mining basics
    • Data visualization
    • Data analysis with Smart Watches/Fitness trackers (Fitbit ChargeHR)
  • Assignment
    • Data analysis programming with Python, R, and Hadoop/Spark
    • Data clustering algorithms with fitness trackers
  • Class materials and assignment 
    • Google Classroom: code aolbmm
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