STAT 386
Download as PDF
Data Science Process
Statistics
College of Computational, Mathematical, & Physical Sciences
Course Description
Principles of data science; web scraping; data wrangling; exploratory data analysis; data visualization; ethics; version control; data communication.
When Taught
Fall and Winter
Min
3
Fixed/Max
3
Fixed
3
Fixed
0
Title
Data Wrangling
Learning Outcome
Preparing messy data sets for exploratory data analysis, predictive modeling, and data visualization
Title
Learn Software
Learning Outcome
Use data science software (Python) to perform data wrangling, exploratory data analysis, to create data visualizations, etc.
Title
Ethic
Learning Outcome
Discuss ethical and legal implications surrounding privacy, data sharing, web scraping, and algorithmic decision making.
Title
Version Control
Learning Outcome
Use version control tools, such as Git and GitHub, for organizing, sharing, and managing data science projects.
Title
Communication
Learning Outcome
Communicate details of a data science project using various tools including GitHub, LaTeX, and Sphinx
