What is hypothesis testing?

While hypothesis might make you think of science, hypothesis testing is a mathematical process that involves testing data using statistics to see if there is enough evidence to support a hypothesis. A hypothesis is a belief or a proposed explanation for something that has not yet been backed up by evidence. Hypothesis testing takes the data gathered in an experiment, survey, or other collection of information and interprets it. The five steps of hypothesis testing are specifying the null hypothesis (the statement of no relationship between the factors involved), specifying the alternative hypothesis (the statement that there is a relationship between the factors involved), setting the significance level (the percentage of chance the alternative hypothesis will be accepted), calculating the test statistic and corresponding P-value (probability of obtaining the sample statistic), and drawing a conclusion.

Why is hypothesis testing important to learn?

Learning hypothesis testing is important because it's what allows you to decide if something is true based on real data. If you're in marketing, for example, you can use hypothesis testing in consumer research to see how well your product is accepted by customers. If you're in the medical field, you can use it to see if a treatment has positive effects. An educational institution may be interested in determining if getting eight hours of sleep correlates with higher grades for its students. Hypothesis testing helps remove the likelihood of chance affecting a conclusion and instead backs it up with statistically significant data.

How can taking online courses on Coursera help me learn hypothesis testing?

Online courses on Coursera can help you learn how hypothesis testing applies to a variety of fields, including health care, business, artificial intelligence, psychology, social sciences, and machine learning. You can learn how to use specific statistical tools to conduct hypothesis testing, too, such as R, RStudio for Six Sigma, and Python. With online courses on Coursera, you also have the opportunity to learn the essential building blocks of hypothesis testing, which include choosing the right hypothesis testing tool and performing hypothesis tests using chi-square tests, correlation, t-tests, simple regression, logistic regression, and analysis of variance (ANOVA).

What are the benefits of taking an online Hypothesis Testing course?

Online Hypothesis Testing courses offer a convenient and flexible way to enhance your knowledge or learn new Hypothesis Testing skills. Choose from a wide range of Hypothesis Testing courses offered by top universities and industry leaders tailored to various skill levels.

What Hypothesis Testing courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Hypothesis Testing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Hypothesis Testing Courses - Learn Hypothesis Testing Online

Explore the Hypothesis Testing Course Catalog

University of Virginia
Digital Product Management
Skills you'll gain: Usability Testing, Agile Product Development, New Product Development, Continuous Delivery, User Story, Product Management, Agile Methodology, Product Testing, Agile Project Management, Team Management, Design Thinking, Team Leadership, DevOps, Innovation, Analytics, Product Improvement, Business Analytics, Ideation, Product Lifecycle Management, Sprint Retrospectives
4.7
Rating, 4.7 out of 5 stars
9.6K reviews
Beginner · Specialization · 3 - 6 Months
University of Minnesota
Web and Mobile Testing with Selenium
Skills you'll gain: Open Web Application Security Project (OWASP), Selenium (Software), Software Testing, Security Testing, Test Automation, Performance Testing, Functional Testing, Mobile Development Tools, Test Execution Engine, Test Planning, Application Security, Mobile Development, Performance Tuning, Browser Compatibility, Application Performance Management, Vulnerability Scanning, Continuous Deployment
3.8
Rating, 3.8 out of 5 stars
92 reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Inferential Statistical Analysis with Python
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Quantitative Research, Python Programming, Matplotlib, NumPy
4.6
Rating, 4.6 out of 5 stars
917 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Start Your API Testing Journey With Postman Tool
Skills you'll gain: Postman API Platform, JSON, Application Programming Interface (API), Software Testing, Restful API, Scripting, Test Case
4.4
Rating, 4.4 out of 5 stars
285 reviews
Beginner · Guided Project · Less Than 2 Hours
Codio
Software Testing for Developers
Skills you'll gain: Jest (JavaScript Testing Framework), User Acceptance Testing (UAT), Cucumber (Software), Postman API Platform, Software Testing, Behavior-Driven Development, Selenium (Software), Test Driven Development (TDD), Unit Testing, Acceptance Testing, Performance Testing, Functional Testing, Test Automation, Usability Testing, Application Programming Interface (API), User Interface (UI), Test Case, API Design
4.2
Rating, 4.2 out of 5 stars
15 reviews
Beginner · Course · 1 - 4 Weeks
Packt
Postman Tutorial: Getting Started with API Testing
Skills you'll gain: Postman API Platform, Application Programming Interface (API), Development Environment, Software Testing, Restful API, Web Development Tools, Debugging, Authentications, Data Import/Export
4.4
Rating, 4.4 out of 5 stars
14 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Summary Statistics in Public Health
Skills you'll gain: Biostatistics, Histogram, Box Plots, Statistical Visualization, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Methods, Probability Distribution, Statistical Analysis, Data Analysis, Sample Size Determination
4.8
Rating, 4.8 out of 5 stars
2K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Mathematical Biostatistics Boot Camp 1
Skills you'll gain: Sampling (Statistics), Probability & Statistics, Statistical Inference, Statistical Methods, Probability, Probability Distribution, Data Analysis, Statistical Analysis, Biostatistics
4.4
Rating, 4.4 out of 5 stars
514 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Create an A/B web page marketing test with Google Optimize
Skills you'll gain: A/B Testing, Google Analytics, Web Analytics, User Experience, Web Content, Web Analytics and SEO, Target Audience, Usability Testing, Marketing Effectiveness, Goal Setting
4.4
Rating, 4.4 out of 5 stars
107 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
University of Cape Town
Understanding Clinical Research: Behind the Statistics
Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Probability Distribution, Probability, Epidemiology
4.8
Rating, 4.8 out of 5 stars
3.6K reviews
Beginner · Course · 1 - 3 Months
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
71K reviews
Beginner · Specialization · 3 - 6 Months
University of Amsterdam
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Software, Statistical Analysis, Statistical Methods, Quantitative Research, Sampling (Statistics), Probability & Statistics, Regression Analysis, Probability Distribution
4.3
Rating, 4.3 out of 5 stars
597 reviews
Mixed · Course · 1 - 3 Months