STAT 386

Data Science Process

Statistics College of Physical and Mathematical 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

Grade Rule

Grade Rule 8: A, B, C, D, E, I (Standard grade rule)

Min

3

Fixed

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