MATH/COSC 3570 - Introduction to Data Science

This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses, with all changes documented here.

Week	Date	Topic	To Do	Slides	Lab Exercise	Homework	Lab Presentation	Project
1	Tue, Jan 16	Greetings + Overview of Data Science	📖	🖥️ 🖥️
	Thu, Jan 18	Posit Cloud and Git/GitHub Introduction		🖥️	📋📋
2	Tue, Jan 23	Connecting Posit Cloud with GitHub	📖	🖥️	📋
	Thu, Jan 25	Quarto		🖥️	📋📋📋
3	Tue, Jan 30	Quarto
	Thu, Feb 1	R/Python Programming	📖	🖥️
4	Tue, Feb 6	Python Programming			📋📋
	Thu, Feb 8	R Tidyverse	📖	🖥️		✍️
5	Tue, Feb 13	Python Pandas/NumPy			📋📋		✅
	Thu, Feb 15	Data Importing	📖	🖥️	📋
6	Tue, Feb 20	Data Importing
	Thu, Feb 22	Data Visualization-ggplot2	📖	🖥️	📋
7	Tue, Feb 27	Data Visualization-categorical and numerical data	📖	🖥️	📋📋
	Thu, Feb 29	Interactive Data Visualization		🖥️
8	Tue, Mar 5	Data Wrangling - one data frame	📖	🖥️	📋		✅
	Thu, Mar 7	Data Wrangling - two data frames		🖥️	📋
9	Tue, Mar 12	NO CLASS: Spring break
	Thu, Mar 14	NO CLASS: Spring break
10	Tue, Mar 19	Data Wrangling - tidyr	📖	🖥️	📋	✍️
	Thu, Mar 21	Probabilistic and Statistical Simulation		🖥️	📋
11	Tue, Mar 26	Probabilistic and Statistical Simulation			📋
	Thu, Mar 28	NO CLASS: Easter break						Team Up 📂
12	Tue, Apr 2	Linear Regression	📖	🖥️
	Thu, Apr 4	Linear Regression			📋
13	Tue, Apr 9	Logistic Regression	📖	🖥️
	Thu, Apr 11	Logistic Regression			📋	✍️
14	Tue, Apr 16	K-Nearest Neighbors	📖	🖥️
	Thu, Apr 18	K-Nearest Neighbors			📋
15	Tue, Apr 23	Principal Component Analysis	📖	🖥️
	Thu, Apr 25	Principal Component Analysis			📋			Proposal 📂
16	Tue, Apr 30	K-Means Clustering	📖	🖥️
	Thu, May 2	Summary		🖥️	📋

I reserve the right to make changes to the schedule.