Statistical Models Courses and Certifications

NPTEL-NOC IITM

Statistical Multipath Channel Models

Explore statistical multipath channel models, including channel impulse response, time dispersion parameters, power delay profile, and types of small-scale fading.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2026 - Multilevel Models - Lecture B01

Dive into multilevel models and hierarchical statistical thinking with advanced Bayesian techniques for complex data structures.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Valence Labs

The Statistical Structure of Identifiable Generative Models

Explore the statistical structure of identifiable generative models, focusing on causal representation learning, model identifiability, and unique inferences from observations under suitable assumptions.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Building and Validating Statistical and ML-Based Models for Prediction

Discover how to construct and validate statistical and machine learning models for accurate predictive analytics and data-driven decision making.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Predictive Models for Climate Extremes - Statistical and Machine Learning

Explore statistical and machine learning approaches to predict climate extremes and understand advanced modeling techniques for environmental forecasting applications.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Computationally Efficient Reductions between Some Statistical Models

Explore computationally efficient reductions between statistical models with insights from advanced data science theory and optimization methods.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Broadening Statistical Machine Translation with Comparable Corpora and Generalized Models

Explore advanced statistical machine translation techniques using comparable corpora and generalized methods for improved cross-lingual processing.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2026 - Geocentric Models - Lecture A03

Explore geocentric models in statistical thinking through hands-on analysis and theoretical foundations with practical applications.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2026 - MCMC and Item Response Models - Lecture A08

Explore MCMC techniques and item response models for advanced statistical analysis and Bayesian inference applications.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking - Measurement Models - Lecture B07

Explore measurement models in Bayesian statistics to handle uncertainty and error in data collection and analysis.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Coursera

Building Statistical Models in R: Linear Regression

20 ratings at Coursera

Learn to build and interpret linear regression models in R, from data exploration to multiple regression, with hands-on practice in model assessment and diagnostics.

• Coursera
• 2 hours 20 minutes
• Self-Paced
• Paid Course

Diving Deep into Regression

Master advanced regression techniques from polynomial to elastic net, with hands-on practice using real datasets for predictive modeling and performance optimization.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Curve Fitting with SciPy

Explore SciPy's curve fitting capabilities to model data effectively, mastering essential functions, algorithms, and techniques for precise data analysis in Python.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

Data Analytics Foundations

Discover statistical modeling, predictive analytics, and data visualization techniques to make strategic decisions across industries using descriptive and inferential statistics.

• VDCI
• 12 hours
• Self-Paced
• $595.00

Center for Language & Speech Processing(CLSP), JHU

On the Parameter Space of Lexicalized Statistical Parsing Models

Explore the parameter space of lexicalized statistical parsing models with expert insights from Johns Hopkins University's language processing research center.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video