| 27 & 29 Aug. |
What Is Data? & Responsible Data Collection |
JupyterHub |
|
| 3 & 5 Sept. |
Python & Data Wrangling |
Movies |
|
| 10 & 12 Sept. |
Exploratory Data Analysis & Visualization |
Movies |
Documentation Assignment Due 12 Sept. |
| 17 & 19 Sept. |
Hypothesis Testing: Comparison of Means |
Sports |
|
| 24 & 26 Sept. |
Hypothesis Testing: Correlation |
Sports |
Take-Home Test I |
| 1 & 3 Oct. |
Linear Regression |
Business |
|
| 8 & 10 Oct. |
Logistic Regression |
Business |
|
| 15 & 17 Oct. |
K-Nearest Neighbors |
Health |
Tutorial Assignment Due 17 Oct. |
| 24 Oct. |
Naive Bayes Classifier |
|
Take-Home Test II |
| 29 & 31 Oct. |
Decision Trees and the Random Forest |
Health |
|
| 5 & 7 Nov. |
Clustering and Unsupervised Approaches |
Literature |
Project Proposal Due 7 Nov. |
| 12 & 14 Nov. |
Neural Networks |
Literature |
|
| 19 & 21 Nov. |
Ethical Data Science & Project Discussion |
|
Progress Report Due 21 Nov. |
| 26 Nov. |
Optional One-on-one Meetings |
|
|
| 3 & 5 Dec. |
Project Work & Sample Final Project |
|
Video Presentations Due 5 Dec. |
| 12 Dec. 9am-12pm |
Panel Presentations |
|
Final Project Due 12 Dec. at 9am |