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
Rutgers the State University of New Jersey
Demand Analytics
Skills you'll gain: Demand Planning, Data Collection, Forecasting, Supply Chain Planning, Statistical Modeling, Data Processing, Market Dynamics, Time Series Analysis and Forecasting, Trend Analysis, Regression Analysis, Exploratory Data Analysis, Data Validation, Data Analysis Software
4.6
Rating, 4.6 out of 5 stars
290 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Maryland, College Park
Corporate Entrepreneurship: Innovating within Corporations
Skills you'll gain: Proposal Development, Business Modeling, Innovation, Entrepreneurship, Customer Analysis, Entrepreneurial Finance, Business Valuation, Market Opportunities, Corporate Strategy, New Business Development, Business Strategies, Internal Auditing, Corporate Finance, Financial Modeling, Internal Communications, Financial Statements, Business Strategy, Corporate Accounting, Project Finance, Business Metrics
4.6
Rating, 4.6 out of 5 stars
268 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Colorado Boulder
Quantum Mechanics
Skills you'll gain: Quantitative Research, Mechanics, Mathematical Software, Engineering Analysis, Numerical Analysis, Chemistry, Physics, Mathematical Modeling, Differential Equations
4.5
Rating, 4.5 out of 5 stars
724 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
Rice University
Business Statistics and Analysis Capstone
Skills you'll gain: Statistical Analysis, Data Analysis, Data Presentation, Statistics, Business Analysis, Statistical Reporting, Analytical Skills, Technical Communication, Exploratory Data Analysis, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
437 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
University of Illinois Urbana-Champaign
Exploring and Producing Data for Business Decision Making
Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Statistics, Microsoft Excel, Analytics, Statistical Inference, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, Histogram, Data Collection, Data Presentation, Graphing
4.8
Rating, 4.8 out of 5 stars
1K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado System
Introduction to Clinical Data Science
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Clinical Research, R Programming, Google Cloud Platform, Data Ethics, Data Science, Health Informatics, Data Processing, Electronic Medical Record, Information Privacy, Health Care Procedure and Regulation, Data Manipulation, SQL, Data Access
4.5
Rating, 4.5 out of 5 stars
413 reviews
Intermediate · Course · 1 - 4 Weeks
Amazon Web Services
Introduction to Machine Learning on AWS
Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Artificial Intelligence, Image Analysis, Computer Vision, Text Mining, Machine Learning, Data Processing
4.5
Rating, 4.5 out of 5 stars
138 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Duke University
Human Factors in AI
Skills you'll gain: Data Ethics, Human Computer Interaction, User Experience Design, Human Centered Design, Human Factors, Personally Identifiable Information, Usability, Information Privacy, Artificial Intelligence, Design Thinking, Machine Learning, Law, Regulation, and Compliance
4.7
Rating, 4.7 out of 5 stars
123 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
AI and Climate Change
Skills you'll gain: Image Analysis, Environmental Monitoring, Artificial Intelligence, Deep Learning, Data Processing, Forecasting, Machine Learning, Computer Vision, Environmental Science, Exploratory Data Analysis
4.8
Rating, 4.8 out of 5 stars
119 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Emory University
Meaningful Marketing Insights
Skills you'll gain: Pivot Tables And Charts, Marketing Analytics, Descriptive Statistics, Microsoft Excel, Customer Insights, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Marketing, Marketing Effectiveness, Exploratory Data Analysis, Consumer Behaviour, Statistical Analysis, Data Manipulation
4.3
Rating, 4.3 out of 5 stars
285 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
Generative AI: Impact, Considerations, and Ethical Issues
Skills you'll gain: Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, Ethical Standards And Conduct, Artificial Intelligence, Environmental Social And Corporate Governance (ESG), Machine Learning, Intellectual Property, Information Privacy, Workforce Management, Workforce Development, Safety and Security
4.7
Rating, 4.7 out of 5 stars
223 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Bioconductor for Genomic Data Science
Skills you'll gain: Bioinformatics, Data Analysis Software, R Programming, Statistical Programming, Programming Principles, Data Manipulation, Data Structures, Software Installation, Data Import/Export, Package and Software Management
3.8
Rating, 3.8 out of 5 stars
382 reviews
Mixed · Course · 1 - 4 Weeks