Applied Data Science

Spring 2016

Teaching Materials

Week 1

• Course Introduction and project 1 description: wk1_intro.pdf
• Tutorial I: knitr and dplyr: wk1-ACS2013-demo.pdf (This is the Rmarkdown file in Project 1 starter code.)
• Starter codes of project 1 (ACS kaggle script).
• more resources are listed in the project description.

Week 2

• Using R
• Example from Professor Mengqian LU
• GitHub tutorial
• More plots by R

Project 1 finished student projects

Week 3

• Shiny App
• Starter codes of project 2 (Open Data NYC shiny app).
• more resources are listed in the project description.

Week 4

• Spatial Data Analysis
• R Tutorial: Geospatial Data and Maps
• Data

Week 5

• Making presentations

Project 2 finished student projects

Week 6

No tutorial

Week 7

• Project evaluation
• Basic Image Analysis
• Advanced Image Analysis: Overview
• Advanced Image Analysis: Tutorial
• Install CPU-Only Caffe on Mac OS (For Python Interface)

Project 3 finished student projects

Week 8

• Tutorial on model assessment
• More details on Proj. Eval.
• Example evaluation.R

Project 4 finished student projects

Week 10

• Project 3 Summary
• Project 4 description
• Tutorial on relational data

Project 5 finished student projects