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

Status: Free
Coursera Project Network
Оптимизация портфеля с помощью модели Марковица
Skills you'll gain: Financial Analysis, Portfolio Management, Financial Modeling, Correlation Analysis, Financial Market, Investment Management, Variance Analysis, Risk Modeling
Intermediate · Guided Project · Less Than 2 Hours
Packt
Certified Six Sigma Yellow Belt Training
Skills you'll gain: Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Statistical Process Controls, Minitab, Waste Minimization, Data-Driven Decision-Making, Kaizen Methodology, Process Improvement, Solution Design, Project Management, Process Analysis, Lean Manufacturing, Data Collection, Pareto Chart, Process Mapping, Sampling (Statistics), Brainstorming, Customer Insights
Beginner · Course · 3 - 6 Months
Fundação Instituto de Administração
Valuation & Strategic Finance
Skills you'll gain: Financial Statement Analysis, Business Valuation, Financial Analysis, Cash Flows, Competitive Analysis, Financial Modeling, Investment Management, Capital Budgeting, Financial Forecasting, Market Analysis
Intermediate · Course · 1 - 3 Months
Sungkyunkwan University
Machine Learning for Smart Beta
Skills you'll gain: Data Processing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Random Forest Algorithm, Supervised Learning
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Solving ML Regression Problems with AWS AutoGluon
Skills you'll gain: AWS SageMaker, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Amazon Web Services, Regression Analysis
Beginner · Guided Project · Less Than 2 Hours
University of Colorado Boulder
Predicting Extreme Climate Behavior with Machine Learning
Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Data Science, Classification And Regression Tree (CART), Statistical Analysis, Predictive Modeling, Artificial Neural Networks, Data Processing, Feature Engineering
Build toward a degree
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Foundations of Probability and Random Variables
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Data Analysis, Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations
Intermediate · Course · 1 - 3 Months
Università di Napoli Federico II
Asset Pricing Models
Skills you'll gain: Securities (Finance), Portfolio Management, Equities, Investments, Financial Market, Finance, Fixed Asset, Risk Modeling, Derivatives, Asset Management, Capital Markets, Statistical Methods, Financial Analysis, Return On Investment, Risk Analysis, Regression Analysis, Time Series Analysis and Forecasting, Estimation
Intermediate · Course · 1 - 3 Months
Google Cloud
Machine Learning Operations (MLOps): Getting Started - Français
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Application Lifecycle Management, DevOps, Applied Machine Learning, Automation, Continuous Deployment, CI/CD, Machine Learning, Containerization, Data Processing
Intermediate · Course · 1 - 4 Weeks
Packt
Deep Learning: Recurrent Neural Networks with Python
Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Network Architecture, Machine Learning Algorithms, Data Processing, Data Analysis
Beginner · Specialization · 1 - 3 Months
University of Pennsylvania
沃顿商务基础毕业项目 (中文版)
Skills you'll gain: Financial Modeling, Business Strategy, Operations Management, Marketing Planning, Business Development, Production Planning, Market Opportunities, Risk Analysis, Analysis, Strategic Marketing, Communication, Financial Analysis
Beginner · Course · 1 - 3 Months
Università di Napoli Federico II
Derivatives
Skills you'll gain: Derivatives, Financial Market, Securities (Finance), Financial Trading, Finance, Actuarial Science, Investments, Futures Exchange, Equities, Risk Modeling, Financial Modeling, Numerical Analysis, Mathematical Modeling, Simulation and Simulation Software, Probability
Intermediate · Course · 1 - 3 Months