Research Design Courses and Certifications

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

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

Data Management for Clinical Research

5 ratings

Learn critical concepts and practical methods for planning, collecting, storing, and disseminating data in clinical research. Covers electronic data capture, regulatory compliance, and best practices for effective data management.

• Coursera
• 19 hours 20 minutes
• Self-Paced
• Paid Course

User Research and Design

472 ratings at Coursera

Learn and practice user research techniques, analyze and deliver findings, and generate design ideas through ideation methods for effective UI design.

• Coursera
• 9 hours 39 minutes
• Self-Paced
• Paid Course

Introduction to Statistics in Python

194 ratings at DataCamp

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

77 ratings at DataCamp

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

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

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
• Self-Paced
• Free Trial Available

Credential

Lean Six Sigma Yellow Belt: Quantitative Tools for Quality and Productivity

9 ratings

Master Six Sigma and Lean methodologies to drive quality and productivity. Learn DMAIC process, statistical analysis, and management tools for organizational transformation and waste elimination.

• edX
• 22 weeks, 3-4 hours/week
• Self-Paced
• $607.00
• 3 courses

Sampling in R

45 ratings at DataCamp

Master sampling to get more accurate statistics with less 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

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