Data Processing and Statistical Analysis, 2017 spring

Lecture notes

(Source code available on Github)

• L0: Course introduction
• L1: R basics and tips
• Collecting and dealing with text data
  • L2: Text processing, web scraping and text mining
• Looking at data
  • L3: Data visualization
• Modeling data
  • L4: Unsupervised methods
  • L5: Supervised methods
  • L6: Time series forecasting
• L7: Parallel computation with R
• Delivering results
  • L8: Dynamic documents
• The end