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

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Macquarie University

Excel Regression Models for Business Forecasting

Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Business Mathematics, Microsoft Excel, Statistical Modeling, Trend Analysis, Statistical Analysis, Data Visualization Software

Icahn School of Medicine at Mount Sinai

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Integration, Unsupervised Learning, Molecular Biology, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API

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University of California, Irvine

Data Warehousing and Business Intelligence

Skills you'll gain: Extract, Transform, Load, Data Warehousing, Data Mining, Business Intelligence, Star Schema, Snowflake Schema, Data Modeling, Data Mart, Data Architecture, Unsupervised Learning, Business Analytics, Data-Driven Decision-Making, Machine Learning Methods, Databases, Statistical Methods, Data Science, Predictive Modeling, Big Data, Cloud Computing, Market Analysis

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Illinois Tech

Variable Selection, Model Validation, Nonlinear Regression

Skills you'll gain: Statistical Inference, Statistical Methods, Statistical Analysis, Regression Analysis, Statistical Modeling, R Programming, Probability & Statistics, Advanced Analytics, Predictive Modeling, Mathematical Modeling, Data Validation, Probability

Status: New

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Illinois Tech

Data Analytics and Big Data

Skills you'll gain: Database Design, Relational Databases, Database Systems, Database Management, NoSQL, Database Theory, Databases, Machine Learning Algorithms, SQL, Database Development, Big Data, Apache Hadoop, Database Management Systems, MySQL, Transaction Processing, Statistical Analysis, Data Visualization, Data Analysis, Apache Spark, Data Modeling

Status: Free Trial

SAS

Practicing for the SAS Programming Certification Exam

Skills you'll gain: SAS (Software), Data Analysis, Exploratory Data Analysis, Statistical Programming, Statistical Analysis, Data Manipulation, Data Cleansing, Data Transformation

Status: Free Trial

University of Colorado Boulder

Introduction to R Programming and Tidyverse

Skills you'll gain: Rmarkdown, Ggplot2, Tidyverse (R Package), R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Statistical Reporting, Data Analysis, Data Wrangling, Software Installation, Debugging

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University of California, Irvine

The Nature of Data and Relational Database Design

Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, Database Management Systems, SQL, Descriptive Statistics, Data Literacy, Statistics, Business Intelligence, Microsoft Excel, Extract, Transform, Load, Data-Driven Decision-Making, Business Analytics, Data Manipulation, Data Science

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Duke University

Explainable AI (XAI)

Skills you'll gain: Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Applied Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Natural Language Processing, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Predictive Analytics, Artificial Neural Networks, Algorithms

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University of California San Diego

Molecular Evolution (Bioinformatics IV)

Skills you'll gain: Bioinformatics, Statistical Analysis, Molecular Biology, Graph Theory, Taxonomy, Tree Maps, Algorithms

Status: Free Trial

University of Colorado Boulder

Resampling, Selection and Splines

Skills you'll gain: Data Science, R Programming, Statistical Machine Learning, Advanced Analytics, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Statistical Methods, Sampling (Statistics), Regression Analysis, Statistical Inference

Status: Free Trial

University of London

Quantitative Foundations for International Business

Skills you'll gain: Business Mathematics, Linear Algebra, Mathematical Modeling, Calculus, Financial Modeling, Algebra, Business Economics, Graphing

Statistical Inference Courses Online

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Excel Regression Models for Business Forecasting

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

Data Warehousing and Business Intelligence