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
University of Alberta
Science Literacy
Skills you'll gain: Scientific Methods, General Science and Research, Research Methodologies, Research, Research Design, Peer Review, Experimentation, Statistical Methods, Media and Communications, Correlation Analysis, Probability & Statistics
4.4
Rating, 4.4 out of 5 stars
261 reviews
Beginner · Course · 1 - 3 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
University of Colorado Boulder
Project Valuation and the Capital Budgeting Process
Skills you'll gain: Capital Budgeting, Project Risk Management, Risk Analysis, Risk Mitigation, Risk Management, Financial Analysis, Project Finance, Business Valuation, Depreciation, Cash Flows, Financial Modeling, Spreadsheet Software, Microsoft Excel, Corporate Tax
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
167 reviews
Intermediate · Course · 1 - 3 Months
University of California San Diego
Python Data Products for Predictive Analytics
Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Applied Machine Learning, Interactive Data Visualization, Design Thinking, Advanced Analytics, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Scikit Learn (Machine Learning Library), Application Deployment, Data Science, Data Validation, Verification And Validation, Django (Web Framework), Regression Analysis
4.2
Rating, 4.2 out of 5 stars
245 reviews
Intermediate · Specialization · 3 - 6 Months
University of Michigan
Fundamentals of Data Analytics in the Public Sector with R
Skills you'll gain: Data Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Public Policies, R Programming, Statistical Programming, Data Transformation, Data Cleansing, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
41 reviews
Intermediate · Course · 1 - 3 Months
SAS
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
Skills you'll gain: Predictive Modeling, Predictive Analytics, Data Ethics, Data-Driven Decision-Making, Machine Learning, Applied Machine Learning, Business Ethics, Decision Tree Learning, Business Analytics, Artificial Intelligence, Performance Analysis, Social Justice
4.8
Rating, 4.8 out of 5 stars
148 reviews
Beginner · Course · 1 - 3 Months
Columbia University
Computational Methods in Pricing and Model Calibration
Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Financial Data, Python Programming, Probability Distribution, Algorithms
4.4
Rating, 4.4 out of 5 stars
40 reviews
Intermediate · Course · 1 - 3 Months
University of Maryland, College Park
Combining and Analyzing Complex Data
Skills you'll gain: Statistical Analysis, Statistical Software, Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Probability & Statistics, Information Privacy
4.1
Rating, 4.1 out of 5 stars
63 reviews
Mixed · Course · 1 - 4 Weeks
Erasmus University Rotterdam
Excel Modeling for Professionals: Best Practices & Pitfalls
Skills you'll gain: Microsoft Excel, Excel Formulas, Verification And Validation, Financial Modeling, Project Documentation, Business Modeling, Spreadsheet Software, Product Testing, Data Validation, Document Management, Data Integrity, Data Management, Organizational Skills
4.5
Rating, 4.5 out of 5 stars
34 reviews
Intermediate · Course · 1 - 4 Weeks
New York University
Reinforcement Learning in Finance
Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Market Dynamics, Machine Learning, Estimation
3.6
Rating, 3.6 out of 5 stars
134 reviews
Advanced · Course · 1 - 4 Weeks
Coursera Project Network
Introduction to R: Basic R syntax
Skills you'll gain: R Programming, Statistical Programming, Development Environment, Programming Principles, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
46 reviews
Beginner · Guided Project · Less Than 2 Hours
Fractal Analytics
Python for Data Science
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Data Wrangling, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Descriptive Statistics, Data Transformation, Applied Machine Learning, Data Cleansing, Python Programming
4
Rating, 4 out of 5 stars
45 reviews
Beginner · Course · 1 - 3 Months