What is statistical inference?

Statistical inference is the process whereby you can draw conclusions about a population based on random samples of that population and the statistics that you draw from those samples. When you rely on statistical inference, you take what you've observed about your samples of that population and apply them to the group as a whole. Applying statistical inference allows you to take what you know about the population as well as what's uncertain to make statements about the entire population based on your analysis.

Why is it important to learn about statistical inference?

If you want to learn about a certain population—whether they're customers or fellow employees—you can use statistical inference to draw conclusions about that population based on your analysis of data about them. You can't always survey or test an entire population to gain insight, but you can sample the population and make educated assumptions based on the data. Understanding statistical inference allows you to take that data and use it to draw conclusions that make sense and prove true.

How can I apply statistical inference in my career?

Statistical inference has plenty of benefits for different business sectors. Statisticians and data analysts use this method often to draw conclusions based on samples of populations. If you're in sales or product development, you can use statistical inference to determine which brands or products are popular with your customers or clients. Scientists use statistical inference to test hypotheses and draw conclusions when it's impossible for them to test or sample an entire population. You can apply statistical inference to analyze the data from surveys of any population that you sample.

How can online courses on Coursera help me learn about statistical inference?

Online courses on Coursera give you both a grasp of the concepts of statistical inference and practical applications. You'll learn from the best instructors in the academic world, and you can learn at a pace and schedule that best suits your schedule and lifestyle. When you finish our courses, you'll know how to use statistical inference in your career, which will give you an advantage whether you're trying to get better at your current job or whether you're looking to make a career change.

What are the benefits of taking an online Statistical Inference course?

Online Statistical Inference courses offer a convenient and flexible way to enhance your knowledge or learn new Statistical Inference skills. Choose from a wide range of Statistical Inference courses offered by top universities and industry leaders tailored to various skill levels.

What Statistical Inference courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Statistical Inference, 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 Statistical Inference Courses - Learn Statistical Inference Online

Explore the Statistical Inference Course Catalog

Pontificia Universidad Católica de Chile
Certificado en Toma de Decisiones Basadas en Datos
Skills you'll gain: Descriptive Analytics, Business Analytics, Database Design, NoSQL, Statistical Reporting, SQL, Data Ethics, Digital Transformation, Query Languages, Data Mining, Databases, Data Analysis, R Programming, Big Data, Data-Driven Decision-Making, Predictive Analytics, Organizational Structure, Business Transformation, Organizational Strategy, Value Propositions
Credit offered
Mastertrack · 6 - 12 Months
University of Colorado Boulder
Master of Engineering in Engineering Management
Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, New Product Development, Failure Analysis, Strategic Decision-Making, Delegation Skills, Unsupervised Learning, Sampling (Statistics), Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Data Ethics, Data Mining, Statistical Modeling, Proposal Writing, Generative AI, Field-Programmable Gate Array (FPGA), Process Capability
Earn a degree
Degree · 1 - 4 Years
Pontificia Universidad Católica de Chile
Certificado en Modelos Analíticos para la Toma de Decisiones de Negocio
Skills you'll gain: Descriptive Analytics, Business Analytics, Statistical Reporting, Data Mining, Visualization (Computer Graphics), Dimensionality Reduction, Data Analysis, R Programming, Big Data, Data-Driven Decision-Making, Data Visualization Software, Predictive Analytics, Ggplot2, Statistical Visualization, Data Management, Analytical Skills, Matplotlib, Unsupervised Learning, Business Reporting, Spatial Data Analysis
Credit offered
Mastertrack · 6 - 12 Months
Status: New
Google Cloud
Machine Learning in the Enterprise - Italiano
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Business Workflow Analysis, Machine Learning, Data Pipelines, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering
Intermediate · Course · 1 - 3 Months
Pontificia Universidad Católica de Chile
Magíster en Salud Pública Global
Skills you'll gain: Epidemiology, Descriptive Analytics, Biostatistics, Statistical Reporting, Digital Transformation, Health Systems, Cloud Security, Descriptive Statistics, Assertiveness, Data Mining, Statistical Hypothesis Testing, Infectious Diseases, Object Oriented Programming (OOP), Business Analytics, Policy Analysis, Preventative Care, Social Justice, Program Evaluation, Occupational Safety and Health Administration (OSHA), Environmental Monitoring
Earn a degree
Degree · 1 - 4 Years
University of Colorado Boulder
Master of Science in Electrical Engineering
Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, New Product Development, Failure Analysis, Strategic Decision-Making, Delegation Skills, Unsupervised Learning, Sampling (Statistics), Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Data Ethics, Data Mining, Statistical Modeling, Proposal Writing, Generative AI, Field-Programmable Gate Array (FPGA), Process Capability
Earn a degree
Degree · 1 - 4 Years
Pontificia Universidad Católica de Chile
Magíster en Ciencia de Datos
Skills you'll gain: Revenue Management, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Unsupervised Learning, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Exploratory Data Analysis, Cloud Security, Network Model, Assertiveness
Earn a degree
Degree · 1 - 4 Years
Status: New
Google Cloud
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文
Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Predictive Modeling, Google Cloud Platform, System Monitoring, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Data Quality, Automation
Intermediate · Course · 1 - 4 Weeks
Pontificia Universidad Católica de Chile
Magíster en Business Analytics
Skills you'll gain: Revenue Management, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Deep Learning, Risk Analysis, Bayesian Statistics, Digital Transformation, Cloud Security, Network Model, Assertiveness, Web Scraping, Governance, Business Process Modeling
Earn a degree
Degree · 1 - 4 Years
Google Cloud
Responsible AI for Developers: Fairness & Bias - Polski
Skills you'll gain: Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Google Cloud Platform, Machine Learning, Tensorflow
Intermediate · Course · 1 - 3 Months
Universidad de los Andes
Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®
Skills you'll gain: Supervised Learning, Unsupervised Learning, Anomaly Detection, Dimensionality Reduction, Artificial Intelligence, Machine Learning, Machine Learning Methods, Regression Analysis, Probability & Statistics, Data Ethics, Image Analysis, Natural Language Processing, Computer Vision, Embedded Systems, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Linear Algebra, Statistical Methods, Ethical Standards And Conduct
Credit offered
Mastertrack · 6 - 12 Months
Imperial College London
Master of Science in Machine Learning and Data Science
Skills you'll gain: Supervised Learning, Data Ethics, Unsupervised Learning, Exploratory Data Analysis, PySpark, Bayesian Statistics, Ggplot2, Dimensionality Reduction, Linear Algebra, Big Data, Anomaly Detection, Data Analysis, Data Visualization, A/B Testing, Data Transformation, Deep Learning, Unstructured Data, Data Pipelines, Applied Machine Learning, Learning Strategies
Earn a degree
Degree · 1 - 4 Years