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: Free Trial
Multiple educators
Object Oriented Programming in Java
Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, Interactive Data Visualization, Java, Object Oriented Programming (OOP), Development Testing, User Interface (UI), Debugging, Java Programming, Software Testing, Computer Programming, Software Engineering, Algorithms, Performance Tuning, Encryption, Programming Principles, Data Analysis, Statistical Analysis, Software Design
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
IBM
Generative AI for Mobile App Developers
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, AI Personalization, Mobile Development, Data Ethics, OpenAI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, Machine Learning Methods, DevSecOps, Application Security, CI/CD, Cloud Applications, Natural Language Processing, Cloud Development
4.7
Rating, 4.7 out of 5 stars
6.8K reviews
Advanced · Specialization · 1 - 3 Months
Status: Free Trial
Duke University
Introduction to Probability and Data with R
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Software, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
5.8K reviews
Beginner · Course · 1 - 3 Months
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, Target Audience, Marketing Effectiveness, Goal Setting, Content Development and Management
4.4
Rating, 4.4 out of 5 stars
107 reviews
Beginner · Guided Project · Less Than 2 Hours
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
289 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
IBM
Generative AI for Software Developers
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, Data Ethics, OpenAI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Natural Language Processing, Code Review, Program Development, Software Architecture, Content Creation, Image Analysis
4.7
Rating, 4.7 out of 5 stars
6.8K reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
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 Trial
University of California, Davis
Learn SQL Basics for Data Science
Skills you'll gain: Data Governance, Presentations, SQL, Apache Spark, Distributed Computing, Data Quality, Descriptive Statistics, Data Lakes, A/B Testing, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Data Pipelines, Databricks, JSON, Statistical Analysis, Database Design, Query Languages, Complex Problem Solving
4.6
Rating, 4.6 out of 5 stars
17K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of California, Davis
SQL Problem Solving
Skills you'll gain: Data Quality, A/B Testing, SQL, Data Analysis, Complex Problem Solving, Business Metrics, Analytical Skills, Business Intelligence, Data Integrity, Data Warehousing, Data Manipulation, Databases, Data Transformation
Intermediate · 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
31 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
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