Data Science Capstone

• Week 1 - Overview, Understanding the Problem, and Getting the Data
  This week, we introduce the project so you can get a clear grip on the problem at hand and begin working with the dataset.
• Week 2 - Exploratory Data Analysis and Modeling
  This week, we move on to the next tasks, exploratory data analysis and modeling. You'll also submit your milestone report and review submissions from your classmates.
• Week 3 - Prediction Model
  This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate.
• Week 4 - Creative Exploration
  This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.
• Week 5 - Data Product
  This week, you'll work on developing the first component of your final project, your data product.
• Week 6 - Slide Deck
  This week, you'll work on developing the second component of your final project, a slide deck to accompany your data product.
• Week 7 - Final Project Submission and Evaluation
  This week, you'll submit your final project and review the work of your classmates.

Jeff Leek, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health

Roger D. Peng, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health

Brian Caffo, PhD
Professor, Biostatistics
Bloomberg School of Public Health