MODULES

Friday April 7:

• Data Science and Procedures
• Formatted Read and Write Operations
• GitHub Demo
• Glueviz Demo on Viz Wall

Friday April 14:

• Homework 1 Class Discussion
• Quick High Charts Demo
  Rotated Column Labels
• Data/Array Operations (in an image processing context)
• netCDF files and the Panoply viewer
  • Examples
  • Python NetCDF tutorial
  • Plotting netCDF data with Python

Friday April 21:

• Homework 2 Class Discussion
• The Issue of Clustering in Data - to be done in the VizWall room

Friday April 28:

• Homework 3 Class Discussion
• Non Linear Trend Extrapolation
• Basic Least Squares
  • Least Squares Example Spreadsheet
• Weighted Least Squares

Friday May 5:

• Homework 4a Class Discussion
• Blind Random Search Approach
  • Download Excel Demo
• The KS Test -- An undertilized statistical test to search for differences between samples.

Friday May 12:

• Homework 4b Class Discussion
  • Data Science and Policy
• Smoothing Noisy Data
  • Exponential Smoothing Example
• Clustering in Time

Friday May 19:

• Homework 5a Class Discussion
• GluViz Demo on the VizWall
• Maximum Likelihood Estimate
  • MLE in Python
• Power Spectra - some of this will be part of the next homework assignment.
  
  

Friday May 26:

• Homework 5b/6 Class Discussion
• Short Notes on Rebinning

Friday June 2:

• Homework Class Discussion
• El Nino and Wavelets: an example of a hard time series to analyze
• Machine Learning Basics
• Kahli demonstrates more sophistication

Friday June 9:

• Some More Viz Wall Examples
• Some Concluding Remarks