Statistical Inference Courses and Certifications

Institut Henri Poincaré

Infer Global, Predict Local - Bias-Variance Theory for Protein Genotype-to-Phenotype Mapping

Explore bias-variance theory in protein genotype-to-phenotype mapping, focusing on global inference and local prediction techniques.

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

Centre International de Rencontres Mathématiques

Minimax Estimation in Efron's Two-groups Model

Explore minimax estimation in Efron's two-groups model, delving into mathematical statistics and advanced probability theory concepts.

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

UofU Data Science

Probabilistic Graphical Models and Mean Field Inference - Lecture 20

Dive into advanced data science concepts including local version inference, alternating updates, and mean field version updates for practical applications in graphic models and word distribution.

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

Paul G. Allen School

An Automatic Finite-Sample Robustness Check: Can Dropping a Little Data Change Conclusions?

Explore Tamara Broderick's seminar on data robustness, examining how removing small portions of data can significantly impact research conclusions and policy decisions through an automatic finite-sample robustness check.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Extremal Events Dictate Population Growth Rate Inference

Explore how extremal statistical events in microbial populations reveal the complex relationship between single-cell generation times and population-level growth rates.

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

Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Theoretical Foundations and Algorithmic Tools for High-Dimensional Inference - Effective Models and Methods

Explore theoretical foundations and algorithmic tools for high-dimensional statistical inference and effective modeling techniques in complex systems.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Introduction to Statistics

4287 ratings at Coursera

You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

• Coursera
• 14 hours 6 minutes
• Self-Paced
• Paid Course

Intro to Descriptive Statistics

12 ratings

Learn essential concepts of descriptive statistics, including data visualization, central tendency, variability, standardization, and sampling distributions, to analyze and interpret data effectively.

• Udacity
• 8 weeks
• Self-Paced
• Free Online Course

Statistical Thinking in Python (Part 1)

Build the foundation you need to think statistically and to speak the language of your data.

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

Introduction to Data in R

Learn the language of data, study types, sampling strategies, and experimental design.

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

Statistical Thinking in Python (Part 2)

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

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

Manipulating Time Series Data in Python

In this course you'll learn the basics of working with time series data.

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

Hypothesis Testing in Python

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

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

Sampling in Python

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

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

Foundations of Probability in R

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

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