| 25 Jan. |
Introduction to the course, What Is Data? |
JupyterHub |
|
| 30 Jan. & 1 Feb. |
Python and Data Wrangling |
Movies |
|
| 6 & 8 Feb. |
Exploratory Data Analysis & Visualization |
Movies |
Documentation Assignment Due 8 Feb. at 9am |
| 13 & 15 Feb. |
Hypothesis Testing: Comparison of Means |
Sports |
|
| 20 & 22 Feb. |
Hypothesis Testing: Correlation |
Sports |
Take-Home Test I |
| 27 & 29 Feb. |
Linear Regression |
Business |
|
| 5 & 7 Mar. |
Logistic Regression |
Business |
|
| 12 & 14 Mar. |
K-Nearest Neighbors |
Ecology |
Tutorial Assignment Due 12 Mar. at 9am |
| 19 & 21 Mar. |
NO CLASS: Spring Break |
|
|
| 26 & 28 Mar. |
Naive Bayes Classifier |
Ecology |
Take-Home Test II |
| 2 & 4 Apr. |
Decision Trees and the Random Forest |
Health |
|
| 9 & 11 Apr. |
Clustering and Unsupervised Approaches |
Literature |
Project Proposal Due 11 Apr. at 9am |
| 16 & 18 Apr. |
Neural Networks |
Literature |
|
| 23 & 25 Apr. |
Project Discussion and Work |
|
Progress Report Due 25 Apr. at 9am |
| 30 Apr. & 2 May |
Project Work & One-on-one Meetings |
|
Video Presentations Due 2 May at 9am |
| 7 May |
Panel Presentations & Wrap-Up |
|
|
| 14 May 9am-12pm |
NO MEETING |
|
Final Project Due 14 May at Noon |