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.

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Statistical Inference

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369 results for "statistical inference"

Free
Free
Johns Hopkins University
Data Science in Real Life
Skills you'll gain: Probability & Statistics, Experiment, Basic Descriptive Statistics, Computer Programming, Computer Programming Tools, Data Analysis, Exploratory Data Analysis, General Statistics, Research and Design, Statistical Tests, Application Development, Communication, Econometrics, Forecasting, Software Engineering, Software Engineering Tools, Writing
4.4
(2.3k reviews)
Mixed · Course · 1-4 Weeks
Johns Hopkins University
Mathematical Biostatistics Boot Camp 2
Skills you'll gain: General Statistics, Probability & Statistics, Basic Descriptive Statistics, Bayesian Statistics, Biostatistics, Experiment, Probability Distribution, Statistical Tests, Correlation And Dependence, Data Analysis, Estimation, Exploratory Data Analysis, Regression, Statistical Analysis
4.3
(123 reviews)
Mixed · Course · 1-4 Weeks
Free
University of Illinois at Urbana-Champaign
Inferential and Predictive Statistics for Business
Skills you'll gain: Basic Descriptive Statistics, Business Analysis, Data Analysis, Probability & Statistics, Spreadsheet Software, Statistical Analysis, Statistical Tests, Regression, Data Visualization, Plot (Graphics), Econometrics, Experiment, General Statistics
4.8
(831 reviews)
Mixed · Course · 1-3 Months
University of Michigan
Inferential Statistical Analysis with Python
Skills you'll gain: Probability & Statistics, Business Analysis, Computer Programming, General Statistics, Statistical Programming, Python Programming, Data Analysis, Statistical Analysis, Statistical Tests, Experiment, Basic Descriptive Statistics, Data Analysis Software, Mathematics
4.6
(844 reviews)
Intermediate · Course · 1-4 Weeks
Free
University of Michigan
Mindware: Critical Thinking for the Information Age
Skills you'll gain: Probability & Statistics, Critical Thinking, Correlation And Dependence, Data Analysis, Statistical Tests, Basic Descriptive Statistics, Business Analysis, General Statistics, Probability Distribution, Regression, Statistical Analysis, Decision Making, Entrepreneurship, Experiment, Human Resources, Leadership Development, Leadership and Management, Market Research, Research and Design, Software Engineering, Software Testing, Strategy and Operations
4.8
(1.3k reviews)
Beginner · Course · 1-3 Months

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In summary, here are 10 of our most popular statistical inference courses

Data Modeling and Regression Analysis in Business: University of Illinois at Urbana-Champaign
Improving Your Statistical Questions: Eindhoven University of Technology
Population Health: Responsible Data Analysis: Universiteit Leiden
Using probability distributions for real world problems in R: Coursera Project Network
Data Science in Real Life: Johns Hopkins University
Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
Inferenzstatistik: Duke University
Inferential and Predictive Statistics for Business: University of Illinois at Urbana-Champaign
Performing Confirmatory Data Analysis in R: Coursera Project Network
Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México

Skills you can learn in Probability And Statistics

R Programming (19)

Inference (16)

Linear Regression (12)

Statistical Analysis (12)

Statistical Inference (11)

Regression Analysis (10)

Biostatistics (9)

Bayesian (7)

Logistic Regression (7)

Probability Distribution (7)

Bayesian Statistics (6)

Medical Statistics (6)

Frequently Asked Questions about 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.‎
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.‎
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.‎
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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Filter by

369 results for "statistical inference"

Data Modeling and Regression Analysis in Business

Improving Your Statistical Questions

Population Health: Responsible Data Analysis

Using probability distributions for real world problems in R

Data Science in Real Life

Mathematical Biostatistics Boot Camp 2

Inferenzstatistik

Inferential and Predictive Statistics for Business

Performing Confirmatory Data Analysis in R

Estadística y probabilidad: principios de Inferencia

Inferential Statistical Analysis with Python

Mindware: Critical Thinking for the Information Age

Searches related to statistical inference

In summary, here are 10 of our most popular statistical inference courses

Skills you can learn in Probability And Statistics

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?‎

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369 results for "statistical inference"

Searches related to statistical inference

In summary, here are 10 of our most popular statistical inference courses

Skills you can learn in Probability And Statistics

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?‎

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