t-tests Courses and Certifications

Coursera

Apply Basic HR Stats

Master HR statistical analysis by running Excel T.TEST functions, interpreting p-values with AI assistance, and making evidence-based decisions from engagement survey data. No statistics background required.

• Coursera
• 2 hours 13 minutes
• Self-Paced
• Paid Course

MGH Institute of Health Professions Credential

Statistics for the Health Professions

Master statistical foundations essential for healthcare professionals through descriptive analysis, hypothesis testing, correlations, t-tests, ANOVA, and non-parametric methods using R.

• edX
• 12 weeks, 3-6 hours/week
• Self-Paced
• $300.00
• 3 courses

Certified Minitab Expert: Hypothesis Testing (Accredited)

742 ratings at Udemy

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

• Udemy
• 2 hours 25 minutes
• Self-Paced
• Paid Course

Professional Certificate of IBM SPSS Statistics Expert

694 ratings at Udemy

Professional Certificate of IBM SPSS Statistics Expert: Business Analysis, Business intelligence, Data Analysis in SPSS

• Udemy
• 2 hours 18 minutes
• Self-Paced
• Paid Course

Getting started with SPSS

74 ratings at OpenLearn

Handling statistical data is an essential part of psychological research. However, many people find the idea of using statistics, and especially statistical software packages, extremely daunting. ...

• OpenLearn
• 3 hours
• Self-Paced
• Free Certificate

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
• Self-Paced
• Free Video

R Programming 101

Statistics with R Programming - A Practical Guide

Master essential statistical concepts and techniques using R programming, from descriptive statistics to advanced regression analysis and hypothesis testing.

• YouTube
• 3 hours 26 minutes
• Self-Paced
• Free Video

jamovi for Data Analysis - Full Tutorial

3 ratings

Comprehensive tutorial on using jamovi for data analysis, covering data wrangling, exploration, statistical tests, regression, and factor analysis. Ideal for beginners transitioning from SPSS to R-based analytics.

• freeCodeCamp
• 4-5 hours
• Self-Paced
• Free Video

Statistics with R - Intermediate Level

392 ratings at Udemy

Learn advanced statistical analyses in R: correlations, t-tests, ANOVA, regression, and reliability indicators. Step-by-step guidance for parametric and non-parametric tests, with assumption checks and result interpretation.

• Udemy
• 2 hours 25 minutes
• Self-Paced
• Paid Course

Steve Brunton

Hypothesis Testing Revisited - Normal, t, and Chi-Squared Distribution Tests

Master hypothesis testing with normal, t, and chi-squared distributions through comprehensive statistical test reviews and practical applications.

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

R for Researchers: From Basics to Advanced Analysis

283 ratings at Udemy

Learn R for scientific research: data manipulation, statistics, and visualization. Enhance your skills with real examples from various fields, becoming proficient in data processing and creative graph creation.

• Udemy
• 1 hour 49 minutes
• Self-Paced
• Paid Course

Statistical Analysis using SPSS for Beginners

Master essential statistical analysis techniques using SPSS software, from basic data management to advanced hypothesis testing, correlation analysis, and result interpretation for real-world applications.

• Swayam
• 8 weeks
• Self-Paced
• Free Online Course

This course is designed to explain the fundamental of statistics.

• Stepik
• 6 hours
• Self-Paced
• Free Certificate

Explore hypothesis testing fundamentals, including t-tests and binomial tests, to draw inferences about populations from sample data and understand statistical significance.

• Codecademy
• 2 hours
• Self-Paced
• Free Trial Available

Mode

Statistics for Data Science

Learn the statistical concepts and techniques you need to conduct rigorous inferential analysis and draw accurate conclusions from data sets.

• Udacity
• 4 weeks
• Self-Paced
• Free Online Course