P-values Courses and Certifications

Understanding Clinical Research: Behind the Statistics

889 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
• Paid Course

• Best of All Time

Inferential Statistics

2773 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 22 minutes
• On-Demand
• Paid Course

UofU Data Science

Hypothesis Testing with t-Tests and p-Values - Spring 2023

Master statistical hypothesis testing through hands-on practice with t-tests and p-values, building essential skills for data-driven decision making and scientific research.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Hypothesis Testing and P-Values

Learn key concepts in statistical inference, including p-values, hypothesis testing, t-tests, and ANOVA. Develop skills to choose appropriate tests and interpret results for data-driven decision making.

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

Hypothesis Testing

Unlock the power of data-driven decision-making with hypothesis testing!

• OpenLearning
• 20 hours
• On-Demand
• Paid Course

Simple Regression Analysis in Public Health

389 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
• Paid Course

Statistics and data literacy for non-statisticians

2466 ratings at Udemy

Learn the key terms and analysis methods in statistics

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

Multiple Regression Analysis in Public Health

323 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
• Paid Course

Data Science: Inference and Modeling

51 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)

Eindhoven University of Technology

Improving your statistical inferences

801 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
• Paid Course

Certified Minitab Expert: Hypothesis Testing (Accredited)

735 ratings at Udemy

Certified Minitab Expert (Accredited) | Hypothesis Testing with Minitab | Minitab Expert Certification | Earn 2.5 PDUs

• Udemy
• 2 hours 25 minutes
• On-Demand
• Paid Course

Statistical Inference and Hypothesis Testing in Data Science Applications

51 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 40 minutes
• On-Demand
• Paid Course

StatQuest with Josh Starmer

How to Calculate P-Values

Learn to calculate p-values for discrete and continuous data, understand one-sided vs two-sided p-values, and gain practical insights for statistical analysis in this comprehensive tutorial.

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

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
• 5 hours 49 minutes
• On-Demand
• Paid Course

Engineering Probability and Statistics Part 2

Explore statistical inference through hypothesis testing, confidence intervals, ANOVA, and sampling distributions to solve engineering problems with data-driven insights.

• Coursera
• 1 day 42 minutes
• On-Demand
• Paid Course