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

Johns Hopkins University
Data Science
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
IBM
IBM Generative AI Engineering
Skills you'll gain: Generative AI, Data Wrangling, Unit Testing, Supervised Learning, Feature Engineering, ChatGPT, Keras (Neural Network Library), Unsupervised Learning, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Deep Learning, Data Manipulation, PyTorch (Machine Learning Library), Data Transformation, Artificial Intelligence, Data Import/Export, Data Ethics, Exploratory Data Analysis
4.6
Rating, 4.6 out of 5 stars
81K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of Michigan
Python 3 Programming
Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), Software Design, Debugging, Object Oriented Design, Data Processing, Unit Testing, Data Import/Export, Restful API, Python Programming, Image Analysis, Data Manipulation, Jupyter, Data Structures, Software Engineering, Application Programming Interface (API), Computer Programming, File Management, Functional Design
4.8
Rating, 4.8 out of 5 stars
22K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Data Science: Statistics and Machine Learning
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Correlation Analysis, Data Science, Data Analysis
4.4
Rating, 4.4 out of 5 stars
7.2K reviews
Intermediate · Specialization · 3 - 6 Months
Meta
Meta React Native
Skills you'll gain: React Native, Jest (JavaScript Testing Framework), Version Control, User Research, UI/UX Research, Usability Testing, Unix Commands, Restful API, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, SQL, User Interface and User Experience (UI/UX) Design, Mobile Development, Design Research, Cross Platform Development, React.js, Web Development Tools
4.6
Rating, 4.6 out of 5 stars
10K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Analysis, Data Science, Probability Distribution, Mathematical Modeling, Data Modeling, Applied Mathematics, Predictive Modeling
4.4
Rating, 4.4 out of 5 stars
754 reviews
Advanced · Specialization · 3 - 6 Months
University of Pennsylvania
Entrepreneurship 1: Developing the Opportunity
Skills you'll gain: Entrepreneurship, Ideation, Target Market, New Product Development, Market Research, Innovation, Business Analysis, Business Development, Business Strategies, User Research, Technology Strategies
4.8
Rating, 4.8 out of 5 stars
4.3K reviews
Mixed · Course · 1 - 3 Months
Arizona State University
Design of Experiments
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Hypothesis Testing, Statistical Software, A/B Testing, Sampling (Statistics), Data Analysis, Estimation, Mathematical Modeling, Probability & Statistics, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Quality Control
4.7
Rating, 4.7 out of 5 stars
355 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
University of Cape Town
Understanding Clinical Research: Behind the Statistics
Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Clinical Research, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Probability Distribution, Probability, Epidemiology
4.8
Rating, 4.8 out of 5 stars
3.5K reviews
Beginner · Course · 1 - 3 Months
IBM
IBM Back-End Development
Skills you'll gain: Open Web Application Security Project (OWASP), Istio, Software Development Life Cycle, Linux Commands, Unit Testing, Application Deployment, Kubernetes, NoSQL, Bash (Scripting Language), MongoDB, Shell Script, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Containerization, GitHub, Jupyter, Grafana
4.6
Rating, 4.6 out of 5 stars
47K reviews
Beginner · Professional Certificate · 3 - 6 Months
Google
Foundations of User Experience (UX) Design
Skills you'll gain: UI/UX Research, Design Thinking, User Research, User Experience Design, User Centered Design, Usability, Persona (User Experience), Web Content Accessibility Guidelines, Prototyping, Wireframing, Sprint Planning
4.8
Rating, 4.8 out of 5 stars
71K reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Graphing, Data Storytelling, Data Analysis, Statistical Analysis, Unsupervised Learning, Statistical Methods
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Mixed · Course · 1 - 4 Weeks