Lisa Dierker

Lisa Dierker is a Professor of Psychology at Wesleyan University with training in chronic disease epidemiology. With expertise in the application of innovative statistical methods, she has spent her career developing collaborative relationships with leading experts across multiple disciplines (e.g. public health, statistics, medicine, engineering, pharmacology and neuroscience). She has also shown an extremely strong commitment to teaching undergraduate courses in the areas of statistics and research methods, and with funding from the National Science Foundation, has spent the last three years developing an original project-based curriculum specifically aimed at increasing the number of students exposed to applied statistics.

Coursera

Wesleyan University

Regression Modeling in Practice (Coursera)

Statistics & Data Analysis

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.

Jul 3rd 2026

4 Weeks

Python Data Analysis Linear Regression

Coursera

Wesleyan University

Machine Learning for Data Analysis (Coursera)

Statistics & Data Analysis Data Science

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 29th 2026

4 Weeks

Python Machine Learning Data Analysis

Coursera

Wesleyan University

Data Analysis Tools (Coursera)

Statistics & Data Analysis Data Science

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 29th 2026

4 Weeks

Python Data Analysis ANOVA

Coursera

Wesleyan University

Data Management and Visualisation (Coursera)

Statistics & Data Analysis Data Science

Discover the secrets behind successful data utilization in this beginner-friendly course on Data Management and Visualisation. Whether you're looking to enhance your business strategies or simply want to learn how to make sense of numbers, this course will guide you through developing research questions, understanding variable relationships, calculating basic statistics, and presenting results effectively.

Jun 29th 2026

4 Weeks

Python Data Management Data Analysis

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