Design of Experiments Courses and Certifications

Sampling in R

Master sampling to get more accurate statistics with less data.

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

Experimental Design in R

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

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

A/B Testing in Python

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

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

Introduction to A/B Testing in R

Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.

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

Performing Experiments in Python

Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

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

Applied Statistics in Python

Explore Python-based statistical analysis to gain essential decision-making skills such as A/B testing and Bayesian models.

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

A/B Testing in R

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

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

Welcome to the Causal Inference with R – Experiments, the 2nd of 7 courses on causal inference concepts and methods created by Duke University with support from eBay, Inc.

• DataCamp
• Self-Paced
• Free Trial Available

Fundamental Neuroscience for Neuroimaging

2309 ratings at Coursera

Explore neuroimaging principles, methods, and applications in human brain research. Learn structural and functional neuroanatomy, cognitive domains, and experimental design for various imaging techniques.

• Coursera
• 9 hours 10 minutes
• Self-Paced
• Paid Course

Simons Institute

Computationally Tractable and Near Optimal Design of Experiments

Explore near-optimal experimental design strategies that balance computational efficiency with statistical power, enhancing machine learning outcomes in complex systems.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Introduction to Imagemaking

2962 ratings at Coursera

Explore imagemaking techniques, expand visual vocabulary, and learn to create compositions, culminating in designing an image-based book. Experiment fearlessly and focus on hands-on practice.

• Coursera
• 18 hours 23 minutes
• Self-Paced
• Paid Course

Principles of fMRI 1

850 ratings at Coursera

This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data. A book related to the class can be found here: https://leanpub.com/principlesoffmri

• Coursera
• 8-9 hours
• Self-Paced
• Paid Course

NPTEL-NOC IITM

Causal Research Design: Experiments and Confounding Variables

Explore causal research design, experiments, and confounding variables in this concise educational resource from NPTEL-NOC IITM.

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

Architectural Experiments: Revolutions in Design (Live Online)

34 ratings at CourseHorse

Explore how architecture has served as a vessel for radical imagination and collective aspiration across two centuries of social transformation.

• CourseHorse
• 12 hours
• Self-Paced
• $335.00

Design and Analysis of Experiments | DoE

1080 ratings at Udemy

Design of Experiments: from ANOVA to Factorial Designs using Excel and R.

• Udemy
• 4 hours 2 minutes
• Self-Paced
• Paid Course