Natural Science 0228 - Statistics with Python

This course introduces students to fundamental statistical methods and tools used in data science to produce, analyze, and communicate about data. Topics will include measures of center and spread, data visualizations, hypothesis testing, confidence intervals, linear regression, and others as time allows. The course emphasizes conceptual understanding and written, oral, and visual communication while de-emphasizing memorization, algebraic manipulation, and by-hand calculation. The course will employ Python code to implement methods and analyze data. There are no formal prerequisites for the course, but comfort with college algebra and some coding experience will be a plus.

Students should expect to spend 8 hours weekly on work and preparation outside of class time BOOKS: Title:Applied Statistics with Data Analytics (Python) Author:ZyBooks, electronic access only ISBN: Cost:$65-90