Research Design Courses and Certifications

The Data Scientist’s Toolbox

166 ratings

Introduction to key data science tools and concepts, covering R, RStudio, version control, and data analysis fundamentals for actionable insights.

• Coursera
• 17 hours 59 minutes
• Self-Paced
• Paid Course

Six Sigma Part 2: Analyze, Improve, Control

978 ratings

Learn how to statistically analyze process data to determine the root cause and propose solutions for process problems, to implement quality management tools, such as 8D and the 5 Whys, and to understand the concept of Design for Six Sigma (DFSS).

• edX
• 8 weeks, 3-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Experimental Design in Python

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

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

NPTEL-NOC IITM

Basics of Research Design

1 rating

Explore the fundamental principles and methodologies of research design with Prof. Suhel Quader in this concise educational session.

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

NPTEL-NOC IITM

Causal Research Design: Experiments and Related Terminologies

Explore validity in experiments, types of experimental designs, and experimental notations in causal research design.

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

Designing an Analytical Study Course

2 ratings at Graduate School USA

Master structured research design to create decision-informed analytical studies that drive effective program and policy analysis through systematic planning and data collection methods.

• Graduate School USA
• Self-Paced
• $1,249.00

Técnicas Cuantitativas y Cualitativas para la Investigación

43 ratings

El curso pretende acercar al alumno al método científico y, en concreto, cómo éste se aplica al estudio y análisis de los métodos de casos.

• edX
• 6 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)

How Science Turns Data Into Knowledge

17 ratings at Coursera

Evaluate scientific claims, understand research methods, and interpret statistical results critically. Gain skills to analyze science news and develop a nuanced perspective on data and information.

• Coursera
• 11 hours 2 minutes
• Self-Paced
• Paid Course

Alberta Education Diploma - Biology 30: Exam Prep & Study Guide

1 rating

Comprehensive study guide covering key biology topics for Alberta Education Diploma exam, including nervous system, reproduction, genetics, and ecology. Reinforces existing knowledge and introduces new concepts.

• Study.com
• 1 day 1 hour 52 minutes
• Self-Paced
• Paid Course

MOST from a Methodological Perspective

Learn to streamline and optimize interventions using the multiphase optimization strategy (MOST). Explore efficient experimental designs to evaluate individual components and improve effectiveness within budget constraints.

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

Research Methods in Psychology for Teachers: Professional Development

Enhance your teaching with flexible, self-paced lessons on psychological research methods. Earn credits for license renewal while exploring ethical practices, data collection, and statistical analysis.

• Study.com
• 16 hours 40 minutes
• Self-Paced
• Paid Course

Data Science in Real Life

12 ratings

Practical insights for managing data science teams, covering experimental design, data quality, statistical modeling, and effective communication in real-world scenarios.

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

University of North Texas

Research Design: Inquiry and Discovery

461 ratings at Coursera

Explore systematic inquiry, question development, and research methods in social sciences. Learn conceptualization, literature review, sampling, and ethical considerations for effective problem-solving and decision-making.

• Coursera
• 10 hours 1 minute
• Self-Paced
• Paid Course

Bertelsmann;  Figure Eight;  IBM;  Insight;  Kaggle;  Starbucks Credential

Data Scientist

11 ratings

Gain practical experience in data pipelines, experiments, recommendation systems, and more. Develop essential skills in software engineering, data engineering, and experimental design for a successful data science career.

• Udacity
• 61 hours
• Self-Paced
• Paid Course

Learn to design reliable experiments, calculate sample sizes, and balance errors with costs for effective hypothesis testing and decision-making in research and A/B testing scenarios.

• Codecademy
• 1 hour
• Self-Paced
• Free Trial Available