Hypothesis Testing Courses and Certifications

Machine Learning Essentials

Explore statistical learning techniques for machine learning, including linear regression and classification. Apply concepts through Python coding assignments and practical problem-solving.

• Coursera
• 17 hours 59 minutes
• Self-Paced
• Paid Course

Intro to Inferential Statistics

8 ratings

Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data!

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

What are the Chances? Probability and Uncertainty in Statistics

18 ratings at Coursera

Explore probability, uncertainty, and statistical significance in data analysis. Learn to interpret findings, conduct hypothesis tests, and understand regression analysis for informed decision-making.

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

Modeling Data in the Tidyverse

10 ratings at Coursera

Learn to model data effectively using the Tidyverse in R. Covers hypothesis testing, regression, machine learning, and more. Gain skills to uncover insights and improve decision-making through data analysis.

• Coursera
• 21 hours 22 minutes
• Self-Paced
• Paid Course

Career Certificate

Statistical Methods for Computer Science

5 ratings at Coursera

Master advanced probability and statistical modeling techniques for data analysis, from fundamental concepts to computational methods, using R programming for real-world applications.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Advanced Probability and Statistical Methods

Master advanced probability concepts through joint distributions, statistical testing, and Markov chains, building expertise in data analysis and statistical inference for real-world applications.

• Coursera
• 1 day 23 hours 46 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Science Decisions in Time

Learn to make confident, data-driven decisions in streaming applications through four courses covering sequential decisions, hypothesis testing, information theory, and causal inference.

• Coursera
• 12 weeks, 15 hours/week
• Self-Paced
• Paid Course
• 4 courses

Statistics for International Business

316 ratings at Coursera

Introduces core statistical concepts for business, covering data presentation, probability, and estimation. Develops essential skills for international business and MBA studies through practical examples and self-assessment.

• Coursera
• 12 hours 23 minutes
• Self-Paced
• Paid Course

Regression Analysis: Simplify Complex Data Relationships

599 ratings at Coursera

Explore predictive modeling techniques to uncover complex data relationships, from linear and logistic regression to ANOVA, enhancing your ability to extract valuable insights for data-driven decision-making.

• Coursera
• 1 day 3 hours 47 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Science Foundations: Statistical Inference

362 ratings at Coursera

Gain a solid foundation in probability theory, statistical inference, and data analysis using R. Master essential skills for statistical hypothesis testing and confidence intervals in data science applications.

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

Data Modeling and Prediction with R

Master linear and logistic regression in R to build predictive models, interpret relationships, and quantify uncertainty for data-driven decision making.

• Coursera
• 11 hours
• Self-Paced
• Paid Course

Meta

Statistics Foundations

399 ratings at Coursera

Comprehensive exploration of statistical foundations for data analytics, covering descriptive and inferential statistics, hypothesis testing, and data modeling using Tableau.

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

Probability and Statistics for Business and Data Science

8003 ratings at Udemy

Learn how to apply probability and statistics to real data science and business applications!

• Udemy
• 5 hours 14 minutes
• Self-Paced
• Paid Course

Understanding the Healthcare Innovation Process II

Explore data-driven healthcare innovation using Lean, Six Sigma, hypothesis testing, and experimental design to improve clinical processes and drive measurable patient outcomes.

• Coursera
• 17 hours 34 minutes
• Self-Paced
• Paid Course

Statistics for Data Analysis Using Excel (Accredited)

6383 ratings at Udemy

Descriptive and Inferential Statistics Theory With Excel Examples for Business / Six Sigma - 14 PMI PDUs (2025 Version)

• Udemy
• 11 hours 32 minutes
• Self-Paced
• Paid Course