Statistical Inference Courses and Certifications

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

Credential

Data Science

9 ratings

Master the complete data science pipeline: from asking questions to publishing results. Gain practical skills in data manipulation, visualization, and analysis through hands-on projects using real-world data.

• Coursera
• 28 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 11 courses

Statistical Inference and Modeling for High-throughput Experiments

9 ratings at edX

A focus on the techniques commonly used to perform statistical inference on high throughput data.

• edX
• 4 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Engineering Probability and Statistics Part 2

Explore statistical inference through hypothesis testing, confidence intervals, ANOVA, and sampling distributions to solve engineering problems with data-driven insights.

• Coursera
• 1 day 42 minutes
• Self-Paced
• Paid Course

Coursera

Run Inference & Hypothesis Tests

Master statistical inference through confidence intervals, hypothesis testing, and power analysis to make data-driven business decisions with Python/R.

• Coursera
• 3 hours 4 minutes
• Self-Paced
• Paid Course

Credential

Data Science Foundations: Statistical Inference

357 ratings at Coursera

Gain a solid foundation in probability theory, statistical inference, and data analysis using R. Master essential skills for statistical hypothesis testing and confidence intervals in data science applications.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Statistical Inference and Hypothesis Testing in Data Science Applications

52 ratings at Coursera

Learn hypothesis testing for data science applications, covering theory, implementation, and ethical considerations. Develop skills to make informed decisions from data using statistical inference techniques.

• Coursera
• 1 day 12 hours 40 minutes
• Self-Paced
• Paid Course

Introductory Statistics : Basic Ideas and Instruments for Statistical Inference

1 rating

This course utilizes real-life applications of Statistics in an exploration of the Statistical Inferenceprocess.

• edX
• 4 weeks, 1-2 hours/week
• Self-Paced
• Free Online Course

Basics of Statistical Inference and Modelling Using R

7 ratings at edX

Learn why a statistical method works, how to implement it using R and when to apply it and where to look if the particular statistical method is not applicable in the specific situation.

• edX
• 6 weeks, 5-10 hours/week
• Self-Paced
• Free Online Course (Audit)

Introductory Statistics : Sample Survey and Instruments for Statistical Inference

The purpose of this course is to introduce basic concepts of sample surveys and to teach statistical inference process using real-life examples.

• edX
• 6 weeks, 1-2 hours/week
• Self-Paced
• Free Online Course

Advanced Statistical Inference and Modelling Using R

Extend your knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up.

• edX
• 6 weeks, 5-10 hours/week
• Self-Paced
• Free Online Course (Audit)

Banach Center

Statistical Inference for Elementary Oscillator-Based True Random Number Generators

Poznaj metody statystycznego wnioskowania dla generatorów liczb losowych opartych na oscylatorach elementarnych.

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

Introduction to Linear Models and Matrix Algebra

12 ratings

Learn to use R programming to apply linear models to analyze data in life sciences.

• edX
• 4 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)