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
Machine Learning Pipelines with Azure ML Studio
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Supervised Learning, Feature Engineering, Data Pipelines, Data Processing, Data Cleansing, Application Deployment
4.5
Rating, 4.5 out of 5 stars
803 reviews
Beginner · Guided Project · Less Than 2 Hours
National Taiwan University
Operations Research (3): Theory
Skills you'll gain: Operations Research, Network Model, Statistical Machine Learning, Applied Mathematics, Mathematical Modeling, Machine Learning, Transportation Operations, Process Optimization, Advanced Mathematics, Linear Algebra, Algorithms
4.9
Rating, 4.9 out of 5 stars
91 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Imperial College London
Developing the SIR Model
Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations
4.8
Rating, 4.8 out of 5 stars
271 reviews
Intermediate · Course · 1 - 4 Weeks
Northeastern University
Healthcare Analytics Essentials
Skills you'll gain: Health Informatics, Business Analytics, Analytics, Patient Safety, Health Care, Health Administration, Healthcare Industry Knowledge, Statistical Analysis, Business Intelligence, Quantitative Research, Performance Measurement, Performance Metric, Data Analysis, Data-Driven Decision-Making, Descriptive Analytics, Peer Review, Data Collection
4.6
Rating, 4.6 out of 5 stars
33 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Imperial College London
Quality Improvement in Healthcare
Skills you'll gain: Continuous Quality Improvement (CQI), Run Chart, Qualitative Research, Public Health, Patient Safety, Health Policy, Health Systems, Community Health, Health Administration, Health Care, Patient Education and Support, Quantitative Research, Geographic Information Systems, Research Design, Cultural Responsiveness, Descriptive Statistics, Leadership, Data Collection, Data-Driven Decision-Making, Risk Analysis
4.7
Rating, 4.7 out of 5 stars
56 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
University of Michigan
Understanding Data: Navigating Statistics, Science, and AI
Skills you'll gain: Histogram, Generative AI, Data Literacy, Data Visualization, Data Presentation, Data Collection, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Statistics, Data Analysis, Data Ethics, Experimentation, Data-Driven Decision-Making, Research Design, Statistical Visualization, Research, Artificial Intelligence, Probability & Statistics, Statistical Reporting
4.7
Rating, 4.7 out of 5 stars
30 reviews
Beginner · Specialization · 1 - 3 Months
Universidad de los Andes
¿Cómo tomar decisiones financieras que agreguen valor?
Skills you'll gain: Financial Modeling, Risk Analysis, Financial Analysis, Financial Forecasting, Corporate Finance, Return On Investment, Decision Making, Financial Statements, Capital Budgeting, Balance Sheet, Income Statement, Cash Flows
4.9
Rating, 4.9 out of 5 stars
199 reviews
Intermediate · Course · 1 - 3 Months
McMaster University
Experimentation for Improvement
Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Process Improvement and Optimization, Regression Analysis, Statistical Software, Mathematical Modeling, R Programming, Data Analysis, Statistical Analysis
4.9
Rating, 4.9 out of 5 stars
922 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Meta
Introduction to Data Management
Skills you'll gain: Data Management, Data Collection, Data Governance, Data Analysis, Information Privacy, Data Quality, Data Storage, Data Security, Data-Driven Decision-Making, Data Architecture, Data Visualization Software, Big Data, Machine Learning
4.8
Rating, 4.8 out of 5 stars
93 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Tidyverse Skills for Data Science in R
Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Data-Driven Decision-Making, Web Scraping, Data Integration, Data Cleansing, Data Transformation
4.5
Rating, 4.5 out of 5 stars
104 reviews
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
Getting Started with Rstudio
Skills you'll gain: Interactive Data Visualization, Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting
4.6
Rating, 4.6 out of 5 stars
141 reviews
Beginner · Guided Project · Less Than 2 Hours
The University of Sydney
Introduction to Linear Algebra
Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Engineering Analysis
4.9
Rating, 4.9 out of 5 stars
30 reviews
Intermediate · Course · 1 - 4 Weeks