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

Google Cloud
Gemini for end-to-end SDLC - 繁體中文
Skills you'll gain: Debugging, Web Applications, Development Testing, Application Development, Generative AI, Software Development Life Cycle, Software Development Tools, Application Lifecycle Management, Google Cloud Platform, Artificial Intelligence, Cloud Services
Beginner · Course · 1 - 4 Weeks
Google Cloud
Gemini for end-to-end SDLC - Português Brasileiro
Skills you'll gain: Software Development Life Cycle, Application Lifecycle Management, Google Cloud Platform, Systems Development, Application Development, Cloud Development, Development Testing, Software Development, Test Case, Web Applications, Query Languages, Debugging, Data Access, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks
Google Cloud
Responsible AI for Developers: Interpretability & Transparency - 한국어
Skills you'll gain: Data Ethics, Artificial Intelligence, Interoperability, Software Visualization, Applied Machine Learning, Data Analysis, Exploratory Data Analysis, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Introduction to Data Engineering on Google Cloud - 繁體中文
Skills you'll gain: Google Cloud Platform, Extract, Transform, Load, Cloud Storage, Data Pipelines, Data Migration, Data Processing, Big Data, Data Integration, Data Storage, Apache Spark, SQL, Cloud Computing, Data Transformation, Data Sharing, Automation
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Data Science Graduate Certificate
Skills you'll gain: Data Mining, Unsupervised Learning, Statistical Modeling, Supervised Learning, Service Level, Deep Learning, Machine Learning Algorithms, Anomaly Detection, Statistical Inference, Statistical Hypothesis Testing, Probability, Dimensionality Reduction, Statistical Machine Learning, Data Warehousing, Regression Analysis, Software Engineering, Data Pipelines, Performance Testing, Bash (Scripting Language), Data Science
Credit offered
Graduate Certificate · 6 - 12 Months
Google Cloud
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français
Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, Applied Machine Learning, Google Cloud Platform, Performance Testing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks
Google Cloud
MLOps with Vertex AI: Model Evaluation - 简体中文
Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Predictive Modeling, Applied Machine Learning, Google Cloud Platform, Performance Testing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Introduction to Data Engineering on Google Cloud - Français
Skills you'll gain: Extract, Transform, Load, Google Cloud Platform, Data Migration, Data Sharing, Metadata Management, Data Processing, Data Lakes, Data Import/Export, Data Infrastructure, Data Pipelines, Data Integration, Data Warehousing, Cloud Storage, Big Data, Data Storage, Data Transformation, SQL, Automation
Beginner · Course · 1 - 3 Months
IIT Guwahati
Bachelor of Science in Data Science & AI
Skills you'll gain: Package and Software Management, Linear Algebra, Data Structures, Data Warehousing, Database Management, Database Theory, Text Mining, Writing, Algorithms, Spreadsheet Software, Matplotlib, Econometrics, R Programming, Java, Artificial Intelligence, Statistical Hypothesis Testing, C (Programming Language), Probability, Operations Research, Systems Analysis
Earn a degree
Degree · 1 - 4 Years
Pontificia Universidad Católica de Chile
Certificado en Gestión y Políticas en Salud Pública
Skills you'll gain: Epidemiology, Descriptive Analytics, Business Analytics, Biostatistics, Gerontology, Digital Transformation, Health Systems, Descriptive Statistics, Assertiveness, Statistical Hypothesis Testing, Leadership, Health Administration, Infectious Diseases, Object Oriented Programming (OOP), Policy Analysis, Preventative Care, Social Justice, Program Evaluation, Occupational Safety and Health Administration (OSHA), Environmental Monitoring
Credit offered
Mastertrack · 6 - 12 Months
Indian Statistical Institute
Postgraduate Diploma in Applied Statistics
Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Machine Learning, Statistical Analysis, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Database Management Systems, Statistical Inference, Economics, Statistical Modeling, Dimensionality Reduction, Lifelong Learning, Regression Analysis, Statistical Software, Demography, Data Collection, International Finance
Postgraduate Diploma · 6 - 12 Months
Pontificia Universidad Católica de Chile
Certificado en Bases de la Salud Pública
Skills you'll gain: Epidemiology, Biostatistics, Health Systems, Descriptive Statistics, Statistical Hypothesis Testing, Infectious Diseases, Scientific Methods, Preventative Care, Statistical Methods, Probability & Statistics, Healthcare Industry Knowledge, Medical Science and Research, Research Design, Statistical Analysis, Quantitative Research, Science and Research, Research, Ethical Standards And Conduct, Primary Care, Economics, Policy, and Social Studies
Credit offered
Mastertrack · 6 - 12 Months