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 Trial
University of Minnesota
Analytics for Decision Making
Skills you'll gain: Time Series Analysis and Forecasting, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Business Modeling, Business Analytics, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Data Modeling, Process Optimization, Data-Driven Decision-Making, Statistics, Business Mathematics, Manufacturing Operations
4.7
Rating, 4.7 out of 5 stars
260 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
Think Again III: How to Reason Inductively
Skills you'll gain: Deductive Reasoning, Logical Reasoning, Probability, Sampling (Statistics), Statistics, Correlation Analysis, Scientific Methods
4.6
Rating, 4.6 out of 5 stars
404 reviews
Beginner · Course · 1 - 3 Months
Pontificia Universidad Católica de Chile
Análisis de Sistemas de Transporte
Skills you'll gain: Transportation Operations, Transportation Management, Network Analysis, Operations Research, Systems Analysis, Demand Planning, Mathematical Modeling, Econometrics, Cost Benefit Analysis, Market Dynamics, Economics, Statistical Modeling, Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
774 reviews
Mixed · Course · 1 - 3 Months
University of Cape Town
Doing Clinical Research: Biostatistics with the Wolfram Language
Skills you'll gain: Descriptive Statistics, Data Literacy, Exploratory Data Analysis, Plot (Graphics), Statistical Analysis, Statistical Visualization, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Quantitative Research, Probability & Statistics, Deep Learning, Data Manipulation, Machine Learning
4.7
Rating, 4.7 out of 5 stars
50 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Google Cloud
Applying Machine Learning to your Data with Google Cloud
Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Supervised Learning, Predictive Modeling, Deep Learning, Natural Language Processing, Computer Vision
4.7
Rating, 4.7 out of 5 stars
1.1K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University at Buffalo
Intelligent Machining
Skills you'll gain: Control Systems, Machine Controls, Manufacturing Processes, Internet Of Things, Automation, Software Systems, Real Time Data, Artificial Intelligence, Machine Learning, Open Source Technology
4.6
Rating, 4.6 out of 5 stars
1.4K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
The R Programming Environment
Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Text Mining, Data Import/Export, Programming Principles, Data Structures, Performance Tuning, Debugging, Application Programming Interface (API)
4.3
Rating, 4.3 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Data Analytics in the Public Sector with R
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Plot (Graphics), Statistical Analysis, Data Presentation, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, Data Analysis, Tidyverse (R Package), Statistical Visualization, R Programming, Statistical Methods, Public Policies, Data Visualization Software, Demography, Political Sciences, Public Administration
4.8
Rating, 4.8 out of 5 stars
77 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Imperial College London
Introduction to Digital health
Skills you'll gain: Health Technology, Telehealth, Health Disparities, Health Informatics, Health Care, Health Systems, Electronic Medical Record, Interoperability, Public Health, Epidemiology, Big Data, Digital Transformation, Health Information Management, Machine Learning, Artificial Intelligence
4.5
Rating, 4.5 out of 5 stars
230 reviews
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Applying Data Analytics in Finance
Skills you'll gain: Time Series Analysis and Forecasting, Portfolio Management, Financial Forecasting, Financial Analysis, Analytics, Financial Trading, Financial Market, Performance Analysis, Statistical Analysis, Investment Management, Risk Management, Regression Analysis, Algorithms
4.4
Rating, 4.4 out of 5 stars
219 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of London
Object Oriented Programming
Skills you'll gain: Pseudocode, C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Integrated Development Environments, Development Environment, Programming Principles, Debugging, Data Structures, Computer Programming, Program Development, Algorithms, Test Data, Data Validation, User Interface (UI), Unit Testing, Data Import/Export, Data Management, Command-Line Interface, Statistical Programming
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
219 reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Getting Started with Data Visualization in R
Skills you'll gain: Rmarkdown, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Data Manipulation, Scatter Plots, Data Wrangling, Histogram, Software Installation
4.8
Rating, 4.8 out of 5 stars
289 reviews
Beginner · Course · 1 - 4 Weeks