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

Results for "statistical inference"

Status: New
Google Cloud
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch
Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, Google Cloud Platform, Applied Machine Learning, Machine Learning, Data Quality
Intermediate · Course · 1 - 4 Weeks
Microsoft
R Programming Essentials with Microsoft Tools
Skills you'll gain: Version Control, GitHub, Data Manipulation, Git (Version Control System), Software Documentation, Microsoft Development Tools, Microsoft Visual Studio, Microsoft Copilot, Data Import/Export, R Programming, Statistical Reporting, Statistical Analysis, Development Environment, Data Cleansing, Integrated Development Environments, Descriptive Statistics, Programming Principles, Debugging, Data Structures
Beginner · Course · 1 - 3 Months
Status: New
Google Cloud
使用 BigQuery 机器学习推理功能
Skills you'll gain:
Beginner · Course · 1 - 4 Weeks
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, Bayesian Statistics, Unsupervised Learning, Dimensionality Reduction, Data Visualization Software, Supervised Learning, Exploratory Data Analysis, Decision Tree Learning, R Programming, Probability, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis
Earn a degree
Degree · 1 - 4 Years
Status: New
Clemson University
Applied Data Science
Skills you'll gain: Data Ethics, Data Science, Regression Analysis, Data Visualization, Keras (Neural Network Library), Matplotlib, Dimensionality Reduction, Data Analysis, Tensorflow, Data Cleansing, Artificial Neural Networks, Data-Driven Decision-Making, Data Modeling, Statistical Analysis, Scikit Learn (Machine Learning Library), Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Python Programming
Intermediate · Course · 3 - 6 Months
Status: New
Google Cloud
Usar o BigQuery ML para inferência
Skills you'll gain:
Beginner · Course · 1 - 4 Weeks
IIT Roorkee
Executive MBA
Skills you'll gain: New Product Development, Mergers & Acquisitions, FinTech, Capital Budgeting, Supply Chain, Integrated Marketing Communications, Business Marketing, Sales Process, Innovation, Succession Planning, Management Accounting, Supply Chain Management, Statistical Process Controls, Product Management, Marketing Management, Revenue Management, Sampling (Statistics), Production Schedule, Project Portfolio Management, Financial Statement Analysis
Earn a degree
Degree · 1 - 4 Years
Universidad de los Andes
Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®
Skills you'll gain: Network Analysis, Data Storytelling, Predictive Modeling, Data Presentation, Marketing Analytics, Cash Flows, Product Marketing, Matplotlib, Financial Data, Financial Statement Analysis, Portfolio Management, Data Cleansing, Advertising, Applied Machine Learning, Statistical Machine Learning, Random Forest Algorithm, Operations Research, Natural Language Processing, Mathematical Modeling, Systems Analysis
Credit offered
Mastertrack · 6 - 12 Months
Universidad de los Andes
Maestría en Inteligencia Analítica de Datos
Skills you'll gain: Systems Thinking, Network Analysis, Unsupervised Learning, Data Storytelling, Deep Learning, Predictive Modeling, Data Presentation, Risk Analysis, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Cash Flows, Matplotlib, Descriptive Analytics, Statistical Analysis, Simulations, Random Forest Algorithm, Operations Research, Solution Design
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, Data Visualization
Earn a degree
Degree · 1 - 4 Years
O.P. Jindal Global University
M.A. Public Policy
Skills you'll gain: Econometrics, Surveys, Environmental Laws, Sampling (Statistics), Social Sciences, Public Policies, Political Sciences, Data Collection, Health Disparities, Economics, Policy, and Social Studies, Economic Development, Policy Analysis, Presentations, International Relations, Diplomacy, Economics, Complex Problem Solving, Immigration Law, Research Methodologies, Socioeconomics
Earn a degree
Degree · 1 - 4 Years
Universidad de Palermo
Maestría en Dirección de Empresas (MBA)
Skills you'll gain: Business Modeling, Data Storytelling, Selling Techniques, Human Capital, Business Process Management, Portfolio Management, Business Planning, Business Analytics, Strategic Marketing, Digital Transformation, Equities, Management Accounting, Organizational Strategy, Corporate Sustainability, Entrepreneurial Finance, Market Dynamics, Online Advertising, B2B Sales, Statistical Methods, Marketing Planning
Earn a degree
Degree · 1 - 4 Years