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
Universiteit Leiden
Population Health: Responsible Data Analysis
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Analytical Skills, Exploratory Data Analysis, Statistical Reporting, Data Management, Science and Research, Data Cleansing
4.6
Rating, 4.6 out of 5 stars
44 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Northwestern University
Fundamentals of Digital Image and Video Processing
Skills you'll gain: Image Analysis, Digital Communications, Computer Vision, Visualization (Computer Graphics), Spatial Analysis, Mathematical Modeling, Color Theory, Applied Mathematics, Statistical Process Controls
4.6
Rating, 4.6 out of 5 stars
1.8K reviews
Mixed · Course · 1 - 3 Months
University of Michigan
Foundational Finance for Strategic Decision Making
Skills you'll gain: Market Data, Loans, Finance, Microsoft Excel, Corporate Finance, Securities (Finance), Mortgage Loans, Financial Analysis, Financial Market, Spreadsheet Software, Equities, Investments, Business Valuation, Financial Modeling, Capital Markets, Financial Data, Financial Management, Business Mathematics, Financial Planning, Time Series Analysis and Forecasting
4.7
Rating, 4.7 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
University of Cape Town
Doing Clinical Research: Biostatistics with the Wolfram Language
Skills you'll gain: Descriptive Statistics, Plot (Graphics), Statistical Analysis, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Data Analysis, Quantitative Research, Data Visualization Software, Probability & Statistics, Deep Learning, Machine Learning
4.7
Rating, 4.7 out of 5 stars
49 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Getting and Cleaning Data
Skills you'll gain: Data Manipulation, Data Cleansing, Data Integration, Data Import/Export, Data Collection, Data Management, Web Scraping, R Programming, MySQL, Application Programming Interface (API)
4.5
Rating, 4.5 out of 5 stars
8.1K reviews
Mixed · Course · 1 - 4 Weeks
Status: New
American Psychological Association
Intro to Null Hypothesis Significance Testing with z-test
Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Methods, Quantitative Research, Statistical Inference, Sampling (Statistics), Statistical Analysis, Probability
Beginner · Course · 1 - 3 Months
Status: Free
The State University of New York
Practical Time Series Analysis
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Analytics, Predictive Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Intermediate · Course · 1 - 3 Months
Status: Free
University of Amsterdam
Data Analytics for Lean Six Sigma
Skills you'll gain: Lean Six Sigma, Data Visualization, Statistical Hypothesis Testing, Minitab, Six Sigma Methodology, Regression Analysis, Descriptive Statistics, Data Analysis, Histogram, Statistical Analysis, Probability & Statistics, Analytical Skills, Business Analytics, Data-Driven Decision-Making, Data Analysis Software, Process Improvement
4.8
Rating, 4.8 out of 5 stars
3.4K reviews
Beginner · Course · 1 - 3 Months
Wesleyan University
Data Analysis and Interpretation
Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Management, Statistical Machine Learning, Statistical Programming, Data Analysis, Random Forest Algorithm, Research Reports, Statistical Methods, Statistical Modeling
4.4
Rating, 4.4 out of 5 stars
1.4K reviews
Beginner · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Business Analytics
Skills you'll gain: Data Storytelling, Extract, Transform, Load, Marketing Analytics, Data Visualization, Data Presentation, Regression Analysis, Alteryx, Data Collection, Interactive Data Visualization, Data Quality, Tidyverse (R Package), R Programming, Data Visualization Software, Data Processing, Power BI, Network Analysis, Business Analytics, Internal Controls, Exploratory Data Analysis, Robotic Process Automation
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
1.1K reviews
Beginner · Specialization · 3 - 6 Months
Google Cloud
How Google does Machine Learning
Skills you'll gain: Google Cloud Platform, Machine Learning, Data Strategy, MLOps (Machine Learning Operations), Applied Machine Learning, Development Environment, Data Ethics, Artificial Intelligence, Computer Vision, Jupyter
4.6
Rating, 4.6 out of 5 stars
7.3K reviews
Beginner · Course · 1 - 3 Months
DeepLearning.AI
Calculus for Machine Learning and Data Science
Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives
4.8
Rating, 4.8 out of 5 stars
838 reviews
Intermediate · Course · 1 - 4 Weeks