18): Data Quality, Uncertainty and Bias, Final Project Preparation – Project work discussion with the instructor 11): Data Workflow Management, Preservation and Data Stewardship 28): Intro to Data Mining for Data Science
21): Academic basis for Data Science, Data Models, Schema, Markup Languages, group project, working with someone else's data 14): Presentations: present your data (part of Assignment 2)
07): Presentations: present your data (part of Assignment 2) 30): Class exercise - collecting data - individual 23): Module 2 and 3 Review, Data Analysis I
Instructor: Thilanka Munasinghe, munast at rpi dot edu.