courses – atheobold.github.io

STAT 313 - Applied Experimental Design and Regression Models

a 4-unit course on fitting and interpreting regression and ANOVA models, while also dedicating time toward learning how to prepare data for analysis in R

STAT 551 - Statistical Learning with R

Cal Poly

tidyverse

data science

a 4-unit course on predictive modeling using modern methods for regression, classification, and clustering

STAT 331 / 531 - Statistical Computing in R

Cal Poly

tidyverse

data science

a 4-unit course on working with data in R, writing user-defined functions, and iteration

STAT 541 - Advanced Statistical Computing in R

Cal Poly

data science

a 4-unit second course on computing in R, covering various “advanced” methods in R

DATA 301 - Introduction to Data Science

Cal Poly

Python

data science

a 5-unit course on working with data in Python, including various machine learning / statistical learning techniques

Categories

STAT 313 - Applied Experimental Design and Regression Models

STAT 551 - Statistical Learning with R

STAT 331 / 531 - Statistical Computing in R

STAT 541 - Advanced Statistical Computing in R

DATA 301 - Introduction to Data Science