Design of Experiments Courses and Certifications

STAT 503: Design of Experiments

Learn to design effective experiments, from basic principles to advanced techniques like factorial designs and response surface methodologies. Gain practical skills in statistical software for data analysis and project completion.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

The Rockefeller University

Talking Science - Life, Through a Lens Featuring Sanford M. Simon

1 rating

Explore cellular biophysics through advanced imaging techniques, experimental insights, and scientific philosophy with Dr. Sanford M. Simon in this engaging lecture for high school students.

• YouTube
• 2 hours 44 minutes
• Self-Paced
• Free Video

Graham Neubig

Advanced NLP - Experimental Design and Data Annotation - Lecture 9

1 rating

Learn experimental design and data annotation techniques for advanced NLP, covering key principles and best practices for conducting rigorous research and creating high-quality datasets.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

MBF Bioscience

Fundamentals of Fiber Photometry: From Theory to Troubleshooting

Master the principles and practical strategies of fiber photometry for measuring neural activity. Learn biosensor selection, experimental design, signal interpretation, and troubleshooting techniques to generate reliable in vivo data.

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

NPTEL-NOC IITM

Randomized Complete Block Design: Math Formulation and Derivation

Explore the mathematical foundations and derivation techniques of Randomized Complete Block Design (RCBD) in this concise statistical methodology lecture.

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

NPTEL-NOC IITM

Graeco-Latin Square

Explore the concept of Graeco-Latin Square in this concise 15-minute educational video from NPTEL-NOC IITM.

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

Centre International de Rencontres Mathématiques

Experimental Challenges in Texture Tomography

Explore the experimental challenges in 3D Texture tomography, from experiment design and sample preparation to data acquisition and inversion, presented by Tilman Grünewald at CIRM.

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

Alan Turing Institute

From Big Data to Right Data - Dr. Lior Horesh, IBM

Explore a hybrid approach combining first-principles and machine learning for meta-level optimization, shifting focus from big data to right data in experimental design and inverse problems.

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

Science Fair - The Nomad Clan's Innovative Projects

Explore innovative DIY projects and unconventional tech experiments with The Nomad Clan in this captivating presentation from Notacon 11.

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

Neuro Symbolic

Ideas on Conducting Experiments in AI and ML

Explore various experimental approaches in AI and ML, focusing on methodologies used in cutting-edge research and practical applications.

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

Data Science Conference

Lean Experimentation and Decision Science with Humans in Warehouses

Explore optimization strategies for warehouse operations through decision science, focusing on picker scheduling, shift management, and experimental design challenges in quick-commerce environments.

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

Introduction to Statistics in Python

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

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

Introduction to Statistics in R

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

• DataCamp
• 4 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

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