Semester.ly

Johns Hopkins University | EN.540.382

Statistical Modeling and Analysis with Python

3.0

credits

Average Course Rating

(4.15)

The course introduces several statistical methods, used to analyze and extract useful information from data. Topics covered include descriptive statistics, basic probability theory, error analysis, confidence intervals, hypothesis testing, regression, design of experiments and an introduction to Bayesian Statistics. Students will also learn to perform statistical analysis of data using Python libraries.

Fall 2022

Professor: John Edison

(4.15)

Lecture Sections

(01)

No location info
J. Edison
16:30 - 17:45