DATA 312 - Data Analysis with Python

Units: 3
Introduction to statistical data analysis using Python. Data preparation and transformation, macros, descriptive statistics. Topics from diagnostics, t-procedures, ANOVA, nonparametrics, cross-tabulation, chi-squared, correlation, regression. Report writing.

Prerequisites: STAT 215
Possible Instructional Methods: Hybrid, or Online-Asynchronous, or Online-Synchronous.
Grading: A-F grading only.
Cross-listed: STAT 312
Course Typically Offered: Fall Only

Student Learning Outcomes - Upon successful completion of this course students will be able to:
1. apply basic computational skills for exploratory data analysis
2. practice data wrangling techniques such a data cleaning, missing data and merging data
3. analyze data using Python both locally and in the cloud, and to interpret results covering hypothesis testing, confidence intervals, modeling and error analysis, including the use of large data sets.