Experimental Design Courses and Certifications

Sampling in Python

69 ratings at DataCamp

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
• On-Demand
• Free Trial Available

Sampling in R

45 ratings at DataCamp

Master sampling to get more accurate statistics with less data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Introduction to Data in R

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

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

A/B Testing for Business Analysts

6 ratings at Udacity

Master A/B testing fundamentals, randomized and matched-pair designs to analyze business experiments and make data-driven decisions effectively.

• Udacity
• 5 hours
• On-Demand
• Free Online Course

Introduction to A/B Testing in R

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

• DataCamp
• 4 hours
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Trial Available

Fundamental Neuroscience for Neuroimaging

2298 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
• On-Demand
• Paid Course

Introduction to Imagemaking

2952 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
• On-Demand
• 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
• On-Demand
• Paid Course

Graham Neubig

CMU Advanced NLP: Experimental Design

Learn advanced NLP research techniques, from formulating questions to conducting experiments, with a focus on scientific methods and practical applications in natural language processing.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

American Society for Microbiology

Increased Scaffolding and Inquiry in an Introductory Biology Lab Enhance Experimental Design Skills

Explore how increased scaffolding and inquiry in introductory biology labs enhance experimental design skills and scientific confidence, with insights from a research study and course redesign.

• YouTube
• 48 minutes
• On-Demand
• Conference Talk

ACM SIGPLAN

Modern Bayesian Experimental Design

Discover how recent advances in Bayesian experimental design (BED) overcome computational challenges, with information-theoretic frameworks for optimizing experiments and practical tools for real-world applications.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Gather and Trust the Right Data

Master data acquisition, experiment design, metric selection, and quality assessment to make trustworthy business decisions through targeted searches and A/B testing.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate