Jennifer Rose

Jennifer Rose is a Research Associate Professor in the Quantitative Analysis Center at Wesleyan University with extensive training in statistical methods. At Indiana University, Dr. Rose received postdoctoral training in categorical data analysis, longitudinal data analysis, and multilevel modeling. At Brown University, Dr. Rose gained extensive experience in the design, implementation, and analysis of randomized controlled trials. She has experience with measurement scale development and psychometric evaluation using structural equation modeling techniques. In addition, Dr. Rose has successfully implemented and published numerous analyses including OLS and logistic regression modeling, growth curve modeling of both continuous and categorical outcomes, multilevel modeling, latent class analysis and pattern mixture modeling of missing data. Dr. Rose has similarly strong teaching credentials at the undergraduate level having offered courses at Wesleyan University, Indiana University and Rhode Island College.
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Regression Modeling in Practice (Coursera) Coursera
Wesleyan University

Regression Modeling in Practice (Coursera)

Dive into 'Regression Modeling in Practice' - a data analysis essential where you'll learn to harness the power of regression analysis. From basic linear models to handling complex scenarios with multiple predictors, this course equips you with the skills to build reliable, insightful models using either SAS or Python. Discover how to interpret results, identify confounding variables, and evaluate model quality effectively.

Jun 5th 2026
4 Weeks
Machine Learning for Data Analysis (Coursera) Coursera
Wesleyan University

Machine Learning for Data Analysis (Coursera)

Dive into the world of machine learning and transform raw data into actionable insights with our Machine Learning for Data Analysis course. This course builds upon foundational concepts introduced in Course 3, expanding your knowledge to include classification, decision trees, clustering, and more. Perfect for data enthusiasts looking to harness predictive power.

Jun 1st 2026
4 Weeks
Data Analysis Tools (Coursera) Coursera
Wesleyan University

Data Analysis Tools (Coursera)

Embark on a journey to master the art and science of data analysis with our Data Analysis Tools course on Coursera. This course is designed for learners who want to delve into statistical testing, hypothesis formulation, and application of various analytical techniques such as ANOVA, Chi-Square tests, and Pearson correlation analysis using either SAS or Python. Whether you're a beginner looking to build foundational skills or an intermediate analyst aiming to refine your abilities, this course offers the tools and knowledge needed to transform raw data into actionable insights.

Jun 1st 2026
4 Weeks
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