Hypothesis Testing Courses and Certifications

MGH Institute of Health Professions

Repeated Measures ANOVA and Non-parametric Statistics

This course builds on the concepts from Introduction to Statistical Concepts and Describing Data and Correlation and t-tests and focuses on methodology used when analyzing data collected from the same

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

MGH Institute of Health Professions

Correlations and t-tests

This course builds on foundational concepts from Introduction to Statistical Concepts and Describing Data and focuses on examining relationships and comparing group means in healthcare data. Students

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

StatQuest with Josh Starmer

How to Calculate P-Values

Learn to calculate p-values from coin-toss probabilities and continuous distributions, including two-sided versus one-sided tests and why one-sided p-values can mislead.

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

A-level Mathematics for Year 12 - Course 2: Calculus, Newton’s Laws and Hypothesis Testing

1 rating

Develop your thinking skills, fluency and confidence to aim for an A* in A-level mathematics and prepare for undergraduate STEM degrees.

• edX
• 7 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Shashank Kalanithi

Practical Statistics for Data Scientists - Statistical Experiments Significance Testing

An overview of statistical experiments and significance testing, including A/B tests, resampling, p-values, ANOVA, and F-statistics.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Experimental Design in Python

1899 ratings at DataCamp

Implement Experimental Design Setups Learn how to implement the most appropriate experimental design setup for your use case.

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

Plan experiments before collecting data: pick the right hypothesis test, size your sample with calculators and simulation, and weigh time and budget constraints.

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

Steve Brunton

The Chi-Squared Test - Are Two Distributions the Same? with Python Example

Master the Chi-squared test to determine if two datasets come from the same distribution, with hands-on Python implementation and real-world alpha emissions case study.

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

Steve Brunton

Lies, Damn Lies, and Statistics - P-Hacking

Uncover the dangers of p-hacking and statistical manipulation in hypothesis testing through examples and code demonstrations of how data can mislead.

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

Great Learning

Chi Square Test

Learn to use the chi-square test to analyze categorical data, test independence and goodness of fit, and perform calculations in Excel, Python, and R.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Multivariate Hypothesis: Multiple Random Variables - Part 2

Dive into the second part of multivariate hypothesis testing, exploring statistical analysis with multiple random variables.

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

NPTEL-NOC IITM

Hypothesis: Chi Square Distribution - Part 1

Explore the Chi-square distribution fundamentals in this first part of the hypothesis testing series from NPTEL-NOC IITM.

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

Johns Hopkins Medicine

Understanding Power and Sample Size Calculations for Vision Research

Learn essential power and sample size calculation techniques for vision research, enhancing study design and statistical analysis skills.

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

A/B Testing

6 ratings

This course will cover the design and analysis of A/B tests, also known as split tests, which are online experiments used to test potential improvements to a website or mobile application.

• Udacity
• 21 hours
• Self-Paced
• Free Online Course

Bivariate Analysis in Statistics and with R - Statistics for Beginners

Learn how to choose and apply bivariate statistical methods in R, including t-tests, ANOVA, chi-square tests, and risk measures.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video