Hypothesis Testing Courses and Certifications

Statistical Inference in R

A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

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

Survival Analysis in Python

Use survival analysis to work with time-to-event data and predict survival time.

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

Practicing Statistics Interview Questions in R

In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

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

Applied Statistics in Python

Explore Python-based statistical analysis to gain essential decision-making skills such as A/B testing and Bayesian models.

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

Foundations of Inference in Python

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

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

This course complements the Coursera Basic Statistics course and is roughly based on the syllabus used by at the University of Amsterdam.

• DataCamp
• Self-Paced
• Free Trial Available

This course complements the course on Inferential Statistics at Coursera.

• DataCamp
• Self-Paced
• Free Trial Available

Positive Psychology Specialization Project: Design Your Life for Well-being

926 ratings at Coursera

Design and implement a personalized positive intervention to enhance well-being using character strengths, psychological theories, and empirical methods.

• Coursera
• 12 hours 42 minutes
• Self-Paced
• Paid Course

Statistics for Data Science and Business Analysis

49499 ratings at Udemy

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis

• Udemy
• 4 hours 52 minutes
• Self-Paced
• Paid Course

Derek Banas

Statistics Tutorial - T Distribution and Hypothesis Testing

Learn to calculate and interpret T distributions, use T tables, understand degrees of freedom, and perform hypothesis testing with independent and dependent samples in this comprehensive statistics tutorial.

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

Great Learning

Hypothesis Testing Statistics - Examples and T-Test Hypothesis Testing

Comprehensive overview of hypothesis testing in statistics, covering key concepts, types of tests, and practical examples. Ideal for learners seeking to understand and apply statistical hypothesis testing methods.

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

ExcelIsFun

Excel Statistical Analysis - Hypothesis Testing - P-Value & Critical Value Methods - 1 Tail Upper

Master hypothesis testing in Excel: learn 5-step process, P-value and Critical Value methods for one-tail upper tests. Practical example using realtor salary data enhances understanding of statistical concepts.

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

Inferential Statistical Analysis with Python

937 ratings at Coursera

Explore inferential statistics using Python, covering confidence intervals and hypothesis testing for various population parameters. Apply concepts to real-world case studies using statistical libraries.

• Coursera
• 21 hours 46 minutes
• Self-Paced
• Paid Course

Probability and Statistics: To p or not to p?

1502 ratings at Coursera

Explore tools for informed decision-making in an uncertain world. Learn probability, statistics, estimation, hypothesis testing, and multivariate applications to enhance lifelong decision-making skills.

• Coursera
• 16 hours 25 minutes
• Self-Paced
• Paid Course

Inferential Statistics

2784 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
• Self-Paced
• Paid Course