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 Trial
Microsoft
Microsoft Data Visualization
Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Visualization Software, Data Modeling, Data Governance, Extract, Transform, Load, Interactive Data Visualization, Business Intelligence, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design, Statistical Visualization
4.7
Rating, 4.7 out of 5 stars
68 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Statistics for Genomic Data Science
Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, R Programming, Probability & Statistics, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing
4.2
Rating, 4.2 out of 5 stars
373 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Statistical Methods for Computer Science
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
University of Pennsylvania
Wharton Business and Financial Modeling Capstone
Skills you'll gain: Portfolio Management, Financial Modeling, Presentations, Microsoft PowerPoint, Investment Management, Business Modeling, Data Modeling, Business Analytics, Risk Modeling, Microsoft Excel, Financial Analysis, Regression Analysis
4.6
Rating, 4.6 out of 5 stars
500 reviews
Mixed · Course · 1 - 3 Months
The University of Edinburgh
Data Science in Stratified Healthcare and Precision Medicine
Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Medical Imaging, Big Data, Health Informatics, Data Science, Statistical Modeling, Machine Learning, Natural Language Processing, Probability & Statistics, Data Analysis, Molecular Biology, Network Analysis, Graph Theory, Healthcare Ethics, Python Programming
4.6
Rating, 4.6 out of 5 stars
334 reviews
Intermediate · Course · 1 - 3 Months
University of Minnesota
Statistical Molecular Thermodynamics
Skills you'll gain: Physics, Thermal Management, Chemistry, Physical Science, Engineering Calculations, Molecular, Cellular, and Microbiology, Applied Mathematics, Calculus, Mathematical Modeling
4.9
Rating, 4.9 out of 5 stars
359 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Duke University
Managing Machine Learning Projects
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technology Solutions, Data Collection, Data Science, Systems Architecture, Feature Engineering, Solution Design, Software Versioning
4.8
Rating, 4.8 out of 5 stars
252 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
IBM AI Enterprise Workflow
Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Dashboard, Unit Testing, Docker (Software), Artificial Neural Networks, Data Science, Artificial Intelligence
4.3
Rating, 4.3 out of 5 stars
320 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
SAS
Data Literacy: Exploring and Visualizing Data
Skills you'll gain: Exploratory Data Analysis, Data Literacy, Data Storytelling, Data-Driven Decision-Making, Data Presentation, SAS (Software), Trend Analysis, Data Manipulation, Data Analysis, Data Quality, Data Cleansing, Scatter Plots, Interactive Data Visualization, Technical Communication, Time Series Analysis and Forecasting, Data Ethics, Data Visualization, Data Visualization Software, Research, Business Analytics
4.7
Rating, 4.7 out of 5 stars
1K reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
University of Illinois Urbana-Champaign
Investment Banking: Financial Analysis and Valuation
Skills you'll gain: Financial Statement Analysis, Investment Banking, Financial Forecasting, Business Valuation, Financial Analysis, Financial Modeling, Mergers & Acquisitions, Income Statement, Balance Sheet, Cash Flows, Benchmarking, Spreadsheet Software
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
172 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Icahn School of Medicine at Mount Sinai
Introduction to Systems Biology
Skills you'll gain: Molecular Biology, Pharmacology, Biochemistry, Network Analysis, Biology, Systems Engineering, Bioinformatics, Mathematical Modeling, Systems Analysis, Simulation and Simulation Software, Differential Equations, Statistical Modeling
4.3
Rating, 4.3 out of 5 stars
570 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
University of Pennsylvania
商务基础 (中文版)
Skills you'll gain: Financial Statements, Financial Statement Analysis, Operations Management, Return On Investment, Financial Accounting, Process Analysis, Financial Reporting, Income Statement, Operational Efficiency, Business Operations, Capital Budgeting, Marketing, Finance, Cash Flows, Financial Modeling, Strategic Marketing, Marketing Strategies, Brand Management, Business Planning, Business Strategy
4.8
Rating, 4.8 out of 5 stars
339 reviews
Beginner · Specialization · 3 - 6 Months