| 24 Aug. |
Introduction to the course, What Is Data? |
JupyterHub |
|
| 29 & 31 Aug. |
Python and Data Wrangling |
Movies |
|
| 5 & 7 Sept. |
Exploratory Data Analysis |
Movies |
Documentation Assignment Due 7 Sept. at 10:55am |
| 12 & 14 Sept. |
Hypothesis Testing: Comparison of Means |
Sports |
|
| 19 & 21 Sept. |
Hypothesis Testing: Correlation |
Sports |
Take-Home Quiz I |
| 26 & 28 Sept. |
Linear Regression |
Business |
|
| 3 & 5 Oct. |
Logistic Regression |
Business |
|
| 10 & 12 Oct. |
K-Nearest Neighbors |
Ecology |
Tutorial Assignment Due 12 Oct. at 10:55am |
| 17 Oct. |
NO CLASS: Fall Break |
|
|
| 19 Oct. |
Naive Bayes Classifier |
Ecology |
|
| 24 & 26 Oct. |
Decision Trees and the Random Forest |
Health |
Take-Home Quiz II |
| 31 Oct. & 2 Nov. |
Clustering and Unsupervised Approaches |
Literature |
|
| 7 & 9 Nov. |
Neural Networks |
Literature |
Project Proposal Due 7 Nov. at 10:55am |
| 14 & 16 Nov. |
Project Discussion and Work |
|
|
| 21 Nov. |
Project Meetings |
|
Progress Report Due 21 Nov. at 10:55am |
| 23 Nov. |
NO CLASS: Thanksgiving Break |
|
|
| 28 & 30 Nov. |
Project Work and Panel Presentations |
|
Video Presentations Due 30 Nov. at 10:55am |
| 5 Dec. |
Panel Presentations & Wrap-Up |
|
|
| 12 Dec. 9am-12pm |
NO MEETING |
|
Final Project Due 12 Dec. at Noon |