Data Science Institute
Vanderbilt University
Course Overview
Course Materials
Course Policies
Date | Week | Topic | Class materials | Homework | Slides |
---|---|---|---|---|---|
8/22 | 1 | EDA in Data Science | Agenda | Slides | |
8/27 | 2 | Summarizing Data | Agenda, Lecture code | Slides | |
8/29 | 2 | Foundations of Graphics | Agenda | HW, Data | Slides |
Date | Week | Topic | Class materials | Homework | Slides |
---|---|---|---|---|---|
9/3 | 3 | ggplot2 fundamentals | Agenda, Lecture code | Slides | |
9/5 | 3 | Viz: distributions | Agenda, Lecture code | HW, Data | |
9/10 | 4 | Viz: distributions & correlations | Agenda, Lecture code, Quickfire #1 | Slides | |
9/12 | 4 | Viz: distributions & correlations | Agenda | HW, Data | Slides |
9/17 | 5 | Viz: correlations | Lecture code (md, Rmd) | Slides | |
9/19 | 5 | Viz: rankings & other patterns | Lecture code (md, Rmd) | HW | Slides |
9/24 | 6 | Viz: time series | Agenda, Lecture code (md, Rmd) | HW | Slides |
9/26 | 6 | Hw Presentation & Review | Agenda | HW |
Date | Week | Topic | Class materials | Homework | Slides |
---|---|---|---|---|---|
10/01 | 7 | Midterm Exams | Agenda | ||
10/03 | 7 | Midterm Exams | Agenda, Exam Data | ||
10/08 | 8 | Finish time series + hand back exams + final projects | Agenda, Lecture code | Slides | |
10/10 | 8 | Introduction to Machine Learning | Agenda | Slides | |
10/15 | 9 | Unsupervised Learning: Clustering | Agenda, Lecture code | Slides | |
10/17 | 9 | Unsupervised Learning: Clustering | Lecture code (md, Rmd) | HW | |
10/22 | 10 | Project check-in day | Agenda | ||
10/24 | 10 | No class (fall break) | Agenda | ||
10/29 | 11 | Unsupervised Learning: Clustering II | Agenda, Lecture code | ||
10/31 | 11 | Unsupervised Learning: Clustering II | Agenda, Rnotes, Quickfire #2, Quickfire #2 data | HW |
Date | Week | Topic | Class materials | Homework | Slides |
---|---|---|---|---|---|
11/05 | 12 | Spatial Data: Maps | Agenda, Guest Lecture | ||
11/07 | 12 | Spatial Data: Maps | Agenda, Rmd full script | HW | |
11/12 | 13 | Text as data | Agenda | Slides | |
11/14 | 13 | Text as data | Lecture code, Data | HW due 11/22, HW Data 1, HW Data 2, HW Data 3 | |
11/19 | 14 | Unsupervised Learning: PCA | Lecture code | Slides | |
11/21 | 14 | DATA QUICKFIRE | Quickfire #3! | Final project | |
11/25 | 15 | Holiday Break | Agenda | ||
11/28 | 15 | Holiday Break | Agenda |
Date | Week | Topic | Class materials | |||||
---|---|---|---|---|---|---|---|---|
12/3 | 16 | Group work + Presentation prep! | Project guidelines, Grading guidelines | |||||
12/5 | 16 | Group work + Presentation prep! | ||||||
12/9 | Submit slides | 11:59 PM | ||||||
12/10 | Final | 9AM-12PM ESB 044 Group Presentations & Peer review due | Peer review doc | 12/13 | Final | 11:59 PM ESB Final Project Online Submissions (github) |