Introduction to Data Science
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