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

Google Cloud
Responsible AI for Developers: Interpretability & Transparency - Polski
Skills you'll gain: Artificial Intelligence, Data Ethics, Data Analysis, Software Visualization, Exploratory Data Analysis, Technical Documentation, Applied Machine Learning, Machine Learning Methods, Machine Learning
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Data Science Graduate Certificate
Skills you'll gain: Unsupervised Learning, Data Mining, Statistical Modeling, Supervised Learning, Deep Learning, Machine Learning Algorithms, Statistical Inference, Service Level, Statistical Hypothesis Testing, Probability, Dimensionality Reduction, Applied Machine Learning, Data Warehousing, Statistical Machine Learning, Data Pipelines, Data Processing, Probability & Statistics, Performance Testing, Data Science, Bash (Scripting Language)
Credit offered
Graduate Certificate · 6 - 12 Months
Status: Free Trial
Microsoft
Microsoft R Programming for Everyone
Skills you'll gain:
Beginner · Professional Certificate · 1 - 3 Months
Status: Free Trial
Microsoft
Exploratory Data Analysis and Visualization
Skills you'll gain:
Beginner · Course
University of Leeds
Master of Science in Data Science (Statistics)
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Dimensionality Reduction, Data Visualization Software, Supervised Learning, Exploratory Data Analysis, Decision Tree Learning, R Programming, Probability, Bayesian Statistics, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis
Earn a degree
Degree · 1 - 4 Years
Status: New
Google Cloud
Usar o BigQuery ML para inferência
Skills you'll gain:
Beginner · Course · 1 - 4 Weeks
Status: New
Google Cloud
使用 BigQuery 机器学习推理功能
Skills you'll gain:
Beginner · Course · 1 - 4 Weeks
Pontificia Universidad Católica de Chile
Magíster en Salud Pública Global
Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Descriptive Analytics, Biostatistics, Statistical Reporting, Gerontology, Digital Transformation, Health Policy, Healthcare Ethics, Sampling (Statistics), Cloud Security, Assertiveness, Telehealth, Health Disparities, Public Health, Object Oriented Programming (OOP), Business Analytics, Program Evaluation, Occupational Safety and Health Administration (OSHA), Health Systems
Earn a degree
Degree · 1 - 4 Years
University of London
Bachelor of Science in Business Administration
Skills you'll gain: Process Design, Global Marketing, Consumer Behaviour, Statistical Analysis, Organizational Change, Integrated Marketing Communications, Advertising, Innovation, Mergers & Acquisitions, Supply Chain Management, Training and Development, Virtual Teams, Diversity and Inclusion, Databases, Cost Accounting, International Finance, Research, Branding, Economic Development, Cultural Diversity
Earn a degree
Degree · 1 - 4 Years
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, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Cloud Security, Network Model, Data Visualization, Assertiveness, Web Scraping, Governance
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, Public Health and Disease Prevention, Descriptive Analytics, Business Analytics, Biostatistics, Gerontology, Health Policy, Healthcare Ethics, Digital Transformation, Descriptive Statistics, Health Equity, Assertiveness, Statistical Hypothesis Testing, Telehealth, Health Disparities, Public Health, Object Oriented Programming (OOP), Program Evaluation, Occupational Safety and Health Administration (OSHA), Health Systems
Credit offered
Mastertrack · 6 - 12 Months
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, Business Strategy, Organizational Strategy
Credit offered
Mastertrack · 6 - 12 Months