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

Johns Hopkins University

Statistical Inference

Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, R Programming, Statistical Analysis, Statistical Programming, Statistical Tests, Basic Descriptive Statistics, Estimation, Mathematics

Status: Free

Stanford University

Introduction to Statistics

Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Critical Thinking, Basic Descriptive Statistics, Data Analysis, Statistical Tests, Mathematics, Probability Distribution, Problem Solving

University of Colorado Boulder

Data Science Foundations: Statistical Inference

Skills you'll gain: Probability & Statistics, General Statistics, Probability Distribution, Estimation, Statistical Tests, Mathematics, Correlation And Dependence, Calculus

Status: Free

Eindhoven University of Technology

Improving your statistical inferences

Skills you'll gain: Probability & Statistics, Statistical Tests, General Statistics, R Programming, Statistical Programming, Bayesian Statistics

Duke University

Inferential Statistics

Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Statistical Tests, Statistical Analysis, Probability Distribution, Basic Descriptive Statistics, R Programming, Statistical Programming, Statistical Visualization

University of Michigan

Statistics with Python

Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Tests, Basic Descriptive Statistics, Probability Distribution, Python Programming, Statistical Visualization, Statistical Programming, Plot (Graphics), Regression, Correlation And Dependence, Critical Thinking, Data Visualization, Computer Programming, Bayesian Statistics

University of Colorado Boulder

Statistical Inference for Estimation in Data Science

Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Estimation, Calculus, Statistical Tests

University of Michigan

Inferential Statistical Analysis with Python

Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Basic Descriptive Statistics, Data Analysis, Statistical Tests, Probability Distribution, Critical Thinking, Python Programming, Statistical Programming

Google

The Power of Statistics

Skills you'll gain: General Statistics, Probability Distribution, Python Programming, Statistical Analysis

Status: Free

University of Zurich

An Intuitive Introduction to Probability

Skills you'll gain: Probability & Statistics, Probability Distribution, General Statistics

University of Amsterdam

Basic Statistics

Skills you'll gain: Basic Descriptive Statistics, General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistical Tests, Problem Solving, Statistical Programming, Exploratory Data Analysis, R Programming, Computer Programming

Status: Free

University of Leeds

Statistical Methods

Skills you'll gain: Data Analysis, Data Visualization Software

Data Science Foundations: Statistical Inference

Statistics with Python

Data Analysis with R

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Statistical Inference

Introduction to Statistics

Data Science Foundations: Statistical Inference

Improving your statistical inferences

Inferential Statistics

Statistics with Python

Statistical Inference for Estimation in Data Science

Inferential Statistical Analysis with Python

The Power of Statistics

An Intuitive Introduction to Probability

Basic Statistics

Statistical Methods

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Frequently Asked Questions about Statistical Inference

What is statistical inference?‎

Why is it important to learn about statistical inference?‎

How can I apply statistical inference in my career?‎

How can online courses on Coursera help me learn about statistical inference?‎

What are the benefits of taking an online Statistical Inference course?‎

What Statistical Inference courses are best for training and upskilling employees or the workforce?‎

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