Ariel's Office Hours: Schaefer 150, Monday and Tuesday from 2 to 3. You can make an appointment by clicking this link for individual office hours (Note, I may not see that you have signed up for individual meetings if you sign up less than 2 hours before). If none of these times work for you, please email me to set up a time to talk.
Late homeworks will be given a 10% penalty for every 24 hours late they are and then will not be accepted after 1 week has passed. Late readings will be given 10% credit if they are done after the due date - the point of readings is to have them done by the class time.
Reading 1: Reading to Write & How to Avoid Death by PowerPoint - 1/18/24
Excel Website and Presentations -1/23/24
Download and Install Tableau - 1/25/24
Reading 2: Florence Nightingale - 1/25/24
Extra Credit - 1/26/24
Reading 3: Five Practices of Data Visualization - 1/30/24
Reading 4: Reveal Don't Conceal - 2/1/24
Homework: Tableau - 2/8/24
Tableau Project Presentations - 2/8/24
Download and Install R and R Studio - 2/8/24
Extra Credit - 2/9/24
Reading 5: Residual Analysis - 2/15/24
Reading 6: Logistic Regression - 2/27/24
Homework: Data Exploration - 2/29/24
Data Exploration Presentations - 2/29/24
Reading 7: P Hacking - 3/7/24
Reading 8: Decision Trees - 3/19/24
Homework: Logistic vs Naive - 3/21/24 (3/28/24)
Extra Credit - 3/22/24
Data Exploration Revisions - 3/28/24
Reading 8: Big Data - 4/2/24
Annotated Bibliography - 4/5/24
Homework: Random Forest - 4/9/24
Rough Draft - 4/12/24
Extra Credit - 4/19/24
Homework: Data Science Careers - 4/23/24
Final Project - 5/2/24
Data Analysis with Open Source Tools (ISBN-13: 9780596802356)
Why Data is Good for Government
Calculating P-Values Video, and an Example
The Elements of Statistical Learning - Textbook