P-values Courses and Certifications

Understanding Clinical Research: Behind the Statistics

828 reviews

If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place.

• Coursera
• 1 day 3 hours 11 minutes
• On-Demand
• Free Online Course (Audit)

• Best of All Time

Data Science: Inference and Modeling

41 ratings at edX

Learn inference and modeling, two of the most widely used statistical tools in data analysis.

• edX
• 8 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

Simple Regression Analysis in Public Health

372 ratings at Coursera

Learn to apply simple regression methods in public health, including linear, logistic, and Cox regression. Practice interpreting data and performing calculations using real-world examples.

• Coursera
• 13 hours 56 minutes
• On-Demand
• Free Online Course (Audit)

Multiple Regression Analysis in Public Health

295 ratings at Coursera

Extend simple regression to predict outcomes using multiple variables. Practice interpreting data and performing calculations on real studies in public health and biostatistics.

• Coursera
• 14 hours
• On-Demand
• Free Online Course (Audit)

Inferential Statistics

2706 ratings at Coursera

Explore inferential statistics through hypothesis testing, p-values, and data analysis using R. Learn to interpret and report results for numerical and categorical data with confidence.

• Coursera
• 16 hours 2 minutes
• On-Demand
• Free Online Course (Audit)

Statistical Inference and Hypothesis Testing in Data Science Applications

47 ratings at Coursera

Learn hypothesis testing for data science applications, covering theory, implementation, and ethical considerations. Develop skills to make informed decisions from data using statistical inference techniques.

• Coursera
• 1 day 12 hours 39 minutes
• On-Demand
• Free Online Course (Audit)

Improving your statistical inferences

787 ratings at Coursera

Enhance statistical inference skills: interpret p-values, design experiments, control false positives, determine sample sizes, and apply Open Science principles for robust empirical research.

• Coursera
• 1 day 3 hours 36 minutes
• On-Demand
• Free Online Course (Audit)

Statistics and data literacy for non-statisticians

2073 ratings at Udemy

Learn the key terms and analysis methods in statistics

• Udemy
• 1 hour 37 minutes
• On-Demand
• Free Online Course

Test of Hypothesis, Simplified Example-Based Approach

90 ratings at Udemy

Friendly guide to formulate and test statistical hypothesis. Beginner-friendly approach is adopted with many examples.

• Udemy
• 6 hours
• On-Demand
• Paid Course

Statistics Fundamentals

Comprehensive overview of statistical concepts, from basic distributions to advanced topics like maximum likelihood, providing a solid foundation for data analysis and interpretation.

• YouTube
• 8 hours
• On-Demand
• Free Video

Linear Regression and Linear Models

Learn powerful statistical tools: linear regression and models. Predict continuous values using various data types. Covers least squares, multiple regression, t-tests, ANOVA, and R implementation.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Understanding Data

1 review

The power of statistics, random control trails, analytical approaches, linear regression, and more.

• Marginal Revolution University
• 6 hours
• On-Demand
• Free Online Course

What Beer and Running Taught Me About the Scientific Process - Christie Aschwanden at SFI

Christie Aschwanden explores the scientific method through beer and running, revealing insights on statistics, methodology, and reproducibility while emphasizing the importance of skepticism in science journalism.

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

Introduction to Statistics without Maths: Basic Inferential Statistics

Explore the fascinating world of inferential statistics. Master probabilities, correlations, and hypothesis testing.

• FutureLearn
• 2 weeks, 4 hours a week
• On-Demand
• Free Online Course (Audit)

Foundations of Statistics and Probability for Machine Learning

26 ratings at Pluralsight

This course will teach you the concepts, theory, and implementation of basic statistics, probability, hypothesis testing, and regression analysis required to build and interpret meaningful machine learning models.

• Pluralsight
• 2 hours 13 minutes
• On-Demand
• Free Trial Available