Statistical Inference Courses and Certifications

Statistical Inference

34 ratings

Learn to draw conclusions from data using statistical inference techniques, covering probability, distributions, hypothesis testing, and advanced methods for robust analysis.

• Coursera
• 54 hours
• Self-Paced
• Paid Course

Statistical Inference in R

A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available

This interactive DataCamp course complements the Coursera course Data Analysis and Statistical Inference by Mine Çetinkaya-Rundel.

• DataCamp
• Self-Paced
• Free Trial Available

Probability, Statistical Inference and Regression Analysis

Master probability distributions, statistical inference, and regression analysis through modern applications including bootstrapping, big data, and data visualization techniques.

• Coursera
• 14 hours 40 minutes
• Self-Paced
• Paid Course

Coursera

Statistical Inference & Predictive Modeling Foundations

Master statistical inference and predictive modeling through A/B testing, regression, neural networks, and ensemble methods to drive data-driven business decisions.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 8 courses

Simons Institute

Statistical Inference I

Explore statistical inference fundamentals, including models, estimation, minimax risk, and Bayesian approaches, with UC Berkeley's Will Fithian.

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

Foundations of Inference in Python

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Probability - The Science of Uncertainty and Data

34 ratings

Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science.

• edX
• 16 weeks, 10-14 hours/week
• Self-Paced
• Free Online Course (Audit)

• Best of All Time

International Centre for Theoretical Sciences

Approximate Message Passing for Statistical Inference and Estimation by Cynthia Rush

Explore approximate message passing techniques for statistical inference and estimation, focusing on applications in machine learning and data analysis.

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

Harvard CMSA

GRAMSIA - Graphical Models, Statistical Inference, and Algorithms

Explore cutting-edge mathematical foundations of graphical models, statistical inference algorithms, and their connections across mathematical sciences through expert presentations.

• YouTube
• 12 hours 27 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Statistical Inference of Logistic Regression: Confusion Matrix, Errors, and Model Selection

Explore statistical inference in logistic regression, covering confusion matrices, error types, and model selection techniques for improved predictive accuracy.

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

IEEE

Cookbook Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 3

Explore advanced statistical inference techniques for distributed and constrained environments, focusing on lower bound analysis and practical applications in complex data scenarios.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

IEEE

Cookbook Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 2

Explore advanced statistical inference techniques for distributed and constrained environments, focusing on lower bounds and their applications in complex data analysis scenarios.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

APS Physics

Complex-time Representation, Statistical Inference, and AI Prediction Using Repeated Measurement Longitudinal Data

Explore complex-time representation, statistical inference, and AI prediction techniques for repeated measurement longitudinal data with Ivo Dinov from University of Michigan.

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

Association for Computing Machinery (ACM)

Statistical Inference Under Constrained Selection Bias

Explore advanced statistical inference techniques for handling selection bias, focusing on constrained environments and methodological approaches to mitigate data sampling limitations.

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