CS 698 - Spring 2016 - R Programming and Data Analytics

News:

 

Project: Our final project is this Santander Customer Satisfaction Prediction from kaggle.

Syllabus

Tentative Weekly schedule*, Please download slides & Homework from Moodle.

Date Topic Readings Assignments Comments
1/25/2016 Class overview + Introduction R Nults and Bolts (I) R Programming    
2/01/2016 R Nults and Bolts (II) 1 "R Nuts and Bolts"; 2 Chap 1 "Getting started"    
2/08/2016 Getting Data In and Out of R R Programming Quiz 1  
2/15/2016 Control Structures and Functions R Programming    
2/22/2016 Loop Functions R Programming Quiz 2  
2/29/2016 String Operations (stringr package) R Programming    
3/07/2016 Data Manipulation (dplyr, reshape2 packages) Quiz 3
3/14/2016 No Class: Spring break      
3/21/2016 Midterm      
3/28/2016 Probability Basics & Data Exploration      
4/04/2016 Clustering      
4/11/2016 Regression and Classification (linear models)   Quiz 4  
4/18/2016 Model Selection + SVM and other Representative Classifers     First Kaggle Submission
4/25/2016 R Graphics and Debugging Quiz 5 1st Kaggle Submission Deadline
5/02/2016 Packaging & Profiling; Final Review; Real Case Study     Project Due
5/12/2016 Final Exam  2:30 pm - 5:00 pm @ CKB 220  

  1. R Programming for Data Science, by Roger D. Peng
  2. Using R for Introductory Statistics, by John Verzani, Chapman & Hall/CRC, 2014, ISBN 1466590734
  3. Advanced R by Hadley Wickham, ISBN 9781466586963.

 

*This schedule is subject to change at the discretion of the instructor or in the event of extenuating circumstances.
Students will be notified in class of any changes to the syllabus.