Good
Because of the transition to online, this class was hard to focus on. However, Doctor Kolodziej really went out of her way to make sure we understood everything. You only have two exams and a final, the rest is up to the homework which can help your grade. I suggest you do that homework. And if you study 4 days before the exam and understand the concepts, you'll do well. Overall, she's weird but good.
Texas A&M University College Station - Statistics
Doctorate of Philosophy
Statistics
Texas A&M University
Statistical Large Sample Theory
Spatial Statistics
Methods in Multivariate Analysis
Theory of Linear Models
Advanced Theory of Statistical Inference
Nonparametric Function Estimation
Theory of Linear Models
Introduction to Applied Bayesian Analysis
Statistical Applications in Probability
Large Sample Theory
Advanced Theory of Statistical Inference
Spatial Statistics
Multivariate Analysis
Nonparametric Function Estimation
Statistical Decision Theory
Applied Categorical Data Analysis
Categorical Data Analysis
SAS Certified Base 9
SAS
Spanish
Master of Science
Statistics
The University of Georgia
Data Analysis
SAS
Data Analytics
SAS certified
R
Data Mining
Multivariate Analysis
Mathematical Modeling
data analytics
Analytics
LaTeX
data mining
SQL experience
Analysis
statistical modeling
Time Series Analysis
Statistics
SQL
R experience
Statistical Modeling
Kolodziej
Elizabeth
Kolodziej
Texas A&M University
Texas A&M University
Robert Morris University
Instructor
Robert Morris University
Senior Lecturer
Instructor for Linear Models
Data Analytics
Overview of Mathematical Statistics
Statistical Methods\nResearched flipped classrooms in statistics\nRevamped shared notes and homework sets for Statistical Methods
Linear Models
and Applied Analytics
Texas A&M University
Graduate Student
Increased teaching evaluations from 2.3 to 4.6 on a 5-point scale over five years of teaching.\n\nDeveloped new laboratory activities to increase active learning.
Texas A&M University