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

Imperial College London
Statistical Analysis with R for Public Health
Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Quantitative Research, Exploratory Data Analysis, Probability & Statistics, Statistics, Statistical Methods, Data Wrangling, Biostatistics, Time Series Analysis and Forecasting, Probability Distribution, Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
2K reviews
Beginner · Specialization · 3 - 6 Months
Wesleyan University
Data Analysis Tools
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Software, Correlation Analysis, Statistical Programming, SAS (Software), Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Analytical Skills, Regression Analysis, Data Management
4.5
Rating, 4.5 out of 5 stars
414 reviews
Mixed · Course · 1 - 4 Weeks
University of California San Diego
Object Oriented Java Programming: Data Structures and Beyond
Skills you'll gain: Unit Testing, Growth Mindedness, Data Structures, Graph Theory, Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, Network Analysis, Object Oriented Programming (OOP), Technical Communication, Development Testing, User Interface (UI), Peer Review, Interviewing Skills, Software Testing, Computer Programming, Adaptability, Performance Tuning, Algorithms
4.7
Rating, 4.7 out of 5 stars
7.2K reviews
Intermediate · Specialization · 3 - 6 Months
Status: AI skills
Meta
Meta Data Analyst
Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Visualization Software, Statistical Inference, Spreadsheet Software, Correlation Analysis, Google Sheets, Exploratory Data Analysis, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
1.4K reviews
Beginner · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Mathematical Biostatistics Boot Camp 2
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Data Analysis
4.3
Rating, 4.3 out of 5 stars
133 reviews
Mixed · Course · 1 - 4 Weeks
Amazon Web Services
AWS Cloud Practitioner Essentials
Skills you'll gain: Amazon Web Services, Amazon CloudWatch, AWS Identity and Access Management (IAM), Cloud Services, Cloud Computing, Cloud Infrastructure, Amazon Elastic Compute Cloud, Cloud Management, Cloud Security, Amazon S3, Cloud Computing Architecture, System Monitoring, Data Migration, Scalability
4.8
Rating, 4.8 out of 5 stars
1.9K reviews
Beginner · Course · 1 - 3 Months
Universidade de São Paulo
Marketing Digital
Skills you'll gain: Search Engine Marketing, Digital Marketing, Email Marketing, Marketing Strategies, Search Engine Optimization, Google Analytics, A/B Testing, Marketing Effectiveness, Advertising Campaigns, Web Analytics, Facebook, Marketing Channel, Advertising, Marketing Analytics, Return On Investment, Performance Measurement
4.8
Rating, 4.8 out of 5 stars
2.3K reviews
Beginner · Course · 1 - 3 Months
Arizona State University
Experimental Design Basics
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Software, A/B Testing, Data Analysis, Estimation, Descriptive Statistics, Quality Control, Variance Analysis
4.7
Rating, 4.7 out of 5 stars
294 reviews
Intermediate · Course · 1 - 3 Months
University of Virginia
Continuous Delivery & DevOps
Skills you'll gain: Continuous Delivery, DevOps, Continuous Deployment, CI/CD, Continuous Integration, Continuous Improvement Process, Process Improvement, Test Automation, Infrastructure as Code (IaC), Microservices, Team Oriented, Automation, Unit Testing, Information Technology Operations, System Testing, Software Testing
4.6
Rating, 4.6 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
The University of Edinburgh
Code Yourself! An Introduction to Programming
Skills you'll gain: Software Engineering, Program Development, Software Testing, Software Development, Programming Principles, Event-Driven Programming, Computer Programming, Debugging, Computational Thinking, Storyboarding, Algorithms, User Interface (UI) Design
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: AI skills
DeepLearning.AI
DeepLearning.AI Data Analytics
Skills you'll gain: Data Storytelling, Google Sheets, Data Visualization, Data Presentation, Web Scraping, Spreadsheet Software, Dashboard, Pandas (Python Package), Interactive Data Visualization, Tableau Software, Time Series Analysis and Forecasting, Probability & Statistics, Statistical Analysis, Statistics, Matplotlib, Statistical Hypothesis Testing, Data Visualization Software, SQL, Data Manipulation, JSON
4.7
Rating, 4.7 out of 5 stars
54 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free
University of London
Probability and Statistics: To p or not to p?
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Methods, Statistical Hypothesis Testing, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Statistical Visualization, Probability Distribution, Statistical Analysis, Data Presentation, Sampling (Statistics), Statistical Inference, Mathematical Modeling, Decision Tree Learning, Applied Mathematics
4.6
Rating, 4.6 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 3 Months