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

Status: New
University of California, Santa Cruz
C and Go: Classical and Modern Programming
Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C++ (Programming Language), Object Oriented Design, Object Oriented Programming (OOP), Code Review, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Integrated Development Environments, Software Testing, Computer Science, Computational Thinking, File Management, Integration Testing
4.5
Rating, 4.5 out of 5 stars
7.1K reviews
Intermediate · Specialization · 3 - 6 Months
Google
Process Data from Dirty to Clean
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Sample Size Determination, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Metasploit for Beginners: Ethical Penetration Testing
Skills you'll gain: Penetration Testing, Vulnerability Scanning, Cyber Security Assessment, Vulnerability Assessments, Cybersecurity, Command-Line Interface, Virtual Machines, Technical Communication
4.8
Rating, 4.8 out of 5 stars
54 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Georgia Institute of Technology
Introduction to User Experience Design
Skills you'll gain: User Experience Design, Prototyping, User Centered Design, Usability, Requirements Analysis, UI/UX Research, Interaction Design, User Interface (UI) Design, Usability Testing, User Research
4.6
Rating, 4.6 out of 5 stars
8.8K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Plot (Graphics), Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Graphing, Box Plots, Data Analysis, Histogram, Statistical Analysis, Unsupervised Learning, Color Theory
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Usability Testing with Hotjar
Skills you'll gain: Usability Testing, Usability, Test Tools, Interaction Design, Human Computer Interaction, Test Planning, User Research, Web Analytics and SEO
4.3
Rating, 4.3 out of 5 stars
30 reviews
Intermediate · Guided Project · Less Than 2 Hours
University of California San Diego
Algorithmic Toolbox
Skills you'll gain: Algorithms, Program Development, Debugging, Development Testing, Test Engineering, Software Testing, Computational Thinking, Test Case, Computer Programming, Programming Principles, Data Structures, Theoretical Computer Science, Bioinformatics, Design Strategies
4.6
Rating, 4.6 out of 5 stars
13K reviews
Intermediate · Course · 1 - 3 Months
IBM
Applied Software Engineering Fundamentals
Skills you'll gain: Software Development Life Cycle, Linux Commands, Unit Testing, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Development Environment, Version Control, File Management, Jupyter, Software Engineering, Software Development Tools, Application Deployment, Collaborative Software, Automation, Flask (Web Framework), Web Scraping, Python Programming, Software Testing
4.6
Rating, 4.6 out of 5 stars
47K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Summary Statistics in Public Health
Skills you'll gain: Biostatistics, Statistical Visualization, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Statistical Methods, Data Literacy, Probability Distribution, Public Health, Statistical Analysis, Clinical Trials, Sample Size Determination
4.8
Rating, 4.8 out of 5 stars
2K reviews
Beginner · Course · 1 - 3 Months
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, Test Tools, 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
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
287 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Virginia
Agile Development
Skills you'll gain: Usability Testing, Agile Product Development, Continuous Delivery, Agile Software Development, User Story, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, Product Improvement, DevOps, Customer Analysis, Analytics, Business Analytics, Sprint Retrospectives, Product Management
4.7
Rating, 4.7 out of 5 stars
4.8K reviews
Beginner · Specialization · 3 - 6 Months