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 Career Certificate

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

Introduction to Data Science in Python

46 ratings

Learn Python fundamentals, data manipulation with pandas, and basic statistical analysis. Gain practical skills in cleaning, processing, and analyzing tabular data for data science applications.

• Coursera
• 1 day 6 hours 25 minutes
• Self-Paced
• Paid Course

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

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

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

BIMSA

Stochastic Modeling and Statistical Inference for Advancing Biomedical Insights

Explore stochastic modeling and statistical inference applications in single-cell biology, including HIV dynamics and preimplantation genetic testing for monogenetic diseases.

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

BIMSA

Chinese Restaurant Process and Statistical Inference

Explore Chinese Restaurant process and statistical inference with Prof. Kiranmoy Das, covering Bayesian modeling and longitudinal data analysis applications.

• YouTube
• 40 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