Hypothesis Testing Courses and Certifications

Statistical Inference and Hypothesis Testing in Data Science Applications

54 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
• Self-Paced
• Paid Course

Introduction to Statistical Analysis: Hypothesis Testing

175 ratings at Coursera

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

• Coursera
• 10 hours 17 minutes
• Self-Paced
• Paid Course

AI Workflow: Data Analysis and Hypothesis Testing

128 ratings at Coursera

Exploratory data analysis, visualization, and hypothesis testing for a streaming media company. Learn estimation techniques, probability distributions, and null hypothesis significance tests through hands-on case studies.

• Coursera
• 10 hours 44 minutes
• Self-Paced
• Paid Course

Coursera

RStudio for Six Sigma - Hypothesis Testing

14 ratings at Coursera

Learn to perform various hypothesis tests for Six Sigma analysis using RStudio, including T-Tests, ANOVA, regression, and non-parametric tests. Gain practical skills in data analysis and statistical inference.

• Coursera
• 2 hours 10 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Minitab Applied Statistics & Hypothesis Testing Mastery

Master applied statistics and hypothesis testing with Minitab through hands-on regression modeling, data analysis, and quality methods for real-world decision-making.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

EDUCBA

Apply Hypothesis Testing with Minitab for Data Analysis

Master hypothesis testing with Minitab through hands-on analysis of real datasets, correlation techniques, and statistical decision-making for confident data-driven conclusions.

• Coursera
• 4 hours 17 minutes
• Self-Paced
• Paid Course

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

Statistics and Hypothesis Testing for Data science

648 ratings at Udemy

"Mastering Data Analysis and Making Informed Decisions with Statistical Hypothesis Testing in Data Science".

• Udemy
• 4 hours 16 minutes
• Self-Paced
• Paid Course

Data analysis: hypothesis testing

7 ratings at OpenLearn

Learn statistical hypothesis testing principles and techniques for data-driven decision-making. Practice formulating hypotheses, conducting tests, and interpreting results using spreadsheets.

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

Shashank Kalanithi

Practical Statistics for Data Scientists - Statistical Experiments Significance Testing

Learn statistical experiments and significance testing for data science, covering A/B testing, hypothesis testing, resampling, and ANOVA, with practical examples and insights.

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

The Royal Institution

How Not to Fall for Bad Statistics - With Jennifer Rogers

Uncover the truth behind misleading statistics in media. Learn to critically analyze data, understand risk, and differentiate between correlation and causation for informed decision-making.

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

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

Learn to plan, implement, and interpret a hypothesis test in Python.

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

Learn to design reliable experiments, calculate sample sizes, and balance errors with costs for effective hypothesis testing and decision-making in research and A/B testing scenarios.

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

Evaluate statistical significance, calculate thresholds, and interpret test statistics for hypothesis testing. Learn to choose optimal thresholds for research questions.

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