Statistical Modeling Courses and Certifications

Microcredential

Statistical Modeling for Data Science Applications

Develop advanced statistical modeling skills for data science, including linear regression, ANOVA, and generalized linear models, with practical applications using R programming.

• Coursera
• 17 weeks, 9 hours a week
• On-Demand
• Paid Course
• 3 courses

Introduction to Statistical Modeling in R

This course is designed to get you up to speed with the most important and powerful methodologies in statistics.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Applied Statistical Modeling for Data Analysis in R

1857 ratings at Udemy

Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R

• Udemy
• 9 hours 53 minutes
• On-Demand
• Paid Course

Intermediate Statistical Modeling in R

In this follow-up course, you will expand your stat modeling skills from the introduction and dive into more advanced concepts.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

The Individual Within the Crowd: How Individual Forecasters Contribute to Ideal Group Forecasts

Explores optimal group forecasting by analyzing individual biases, errors, and diversity. Presents a statistical model for estimating forecaster features and discusses when to use optimal weighting versus simple averaging.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Information and Model Misspecification - Classical Statistics vs. Info-Metrics

Explore info-metrics framework for handling model misspecification, contrasting classical methods with innovative approaches using entropy and empirical likelihood in power law distributions.

• YouTube
• 1 hour
• On-Demand
• Free Video

Modeling Psychological Systems with Ternary Spin Models

Explore how ternary spin models enhance psychological research by extending binary network models to include neutral states, offering richer dynamics for analyzing depression, intelligence, and attitude changes.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Julia Silge

Handling Coefficients for Modeling Collegiate Sports Expenditures

Explore collegiate sports expenditures using linear modeling and tidymodels, focusing on handling coefficients and intervals for insightful analysis of financial patterns.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Julia Silge

Explore Changes in Art Over Time With Tidymodels

Analyze art trends in the Tate collection using tidymodels for regression modeling, text feature engineering, and model diagnostics to uncover insights on changing art media usage over time.

• YouTube
• 42 minutes
• On-Demand
• Free Video

LiquidBrain Bioinformatics

Linear Mixed Model in R with lme

Learn to implement Linear Mixed Models in R using lme(). Understand statistical modeling concepts, fixed and random effects, and interpret results for complex data relationships.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Learning from Data: The Two Cultures

Explore statistical and task modeling approaches in AI, their strengths, limitations, and the importance of integrating principles from both cultures for more robust and responsible machine learning.

• YouTube
• 1 hour
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking 2023 - Generalized Linear Madness

Explore advanced statistical concepts including allometry, state space models, and ordinary differential equations through practical examples and applications in various fields.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking 2023 - Measurement & Misclassification

Explore measurement error, misclassification, and modeling techniques in statistical analysis. Learn practical applications and gain insights into the Himba culture's unique color perception.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking 2023 - Correlated Features

Explore correlated features in statistical modeling, covering multivariate priors, non-centered approaches, and practical coding techniques for improved analysis and interpretation.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking 2023 - Ordered Categories

Explore statistical rethinking with ordered categories, ethical considerations, and advanced modeling techniques. Gain insights into participation bias, Dirichlet distributions, and practical applications in data analysis.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video