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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Johns Hopkins University

Building R Packages

Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Software Documentation, Maintainability, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Technical Documentation

Status: Free Trial

University of California, Santa Cruz

Bayesian Statistics: Capstone Project

Skills you'll gain: Bayesian Statistics, Technical Communication, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

Status: Free Trial

University of Colorado Boulder

Product Cost and Investment Cash Flow Analysis

Skills you'll gain: Cost Estimation, Cost Management, Financial Modeling, Investment Management, Risk Management, Finance, Spreadsheet Software, Financial Planning, Financial Analysis, Cost Accounting, Business Mathematics, Return On Investment, Cash Flows, Product Management

Status: Free Trial

University of Illinois Urbana-Champaign

Applying Data Analytics in Marketing

Skills you'll gain: Marketing Analytics, Regression Analysis, Network Analysis, Market Analysis, Analytics, Statistical Analysis, Customer Insights, Data Analysis, Statistical Methods, Text Mining, Unstructured Data, Social Media, Natural Language Processing

Status: Free Trial

Microsoft

Preparing for AI-900: Microsoft Azure AI Fundamentals exam

Skills you'll gain: Natural Language Processing, Microsoft Azure, Large Language Modeling, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, Data Science

Status: Free Trial

University of Colorado Boulder

Expressway to Data Science: R Programming and Tidyverse

Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Analysis, Data Wrangling, Data Manipulation, Data Visualization Software, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Statistical Reporting, Data Integration, Software Installation, Debugging

Status: Free Trial

SAS

Getting Started with SAS Visual Analytics

Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Data Visualization, Business Analytics, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Data Access, Business Reporting

The University of Edinburgh

Data Ethics, AI and Responsible Innovation

Skills you'll gain: Data Ethics, Law, Regulation, and Compliance, Data Security, Information Privacy, Data Governance, Big Data, Analytical Skills, Ethical Standards And Conduct, Artificial Intelligence, Machine Learning, Social Sciences, Diversity Awareness, Accountability, Decision Making, Innovation, Algorithms

Status: Free Trial

Microsoft

Perform data science with Azure Databricks

Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Feature Engineering, Exploratory Data Analysis

Università Bocconi

A Scientific Approach to Innovation Management

Skills you'll gain: Data Analysis, Innovation, Strategic Decision-Making, Statistical Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Big Data, Business Metrics, A/B Testing, Machine Learning

Packt

Six Sigma White Belt

Skills you'll gain: Root Cause Analysis, Six Sigma Methodology, Quality Improvement, Process Improvement, Quality Management, Pareto Chart, Kaizen Methodology, Statistical Process Controls, Lean Methodologies, Quality Monitoring, Lean Manufacturing, Data Visualization, Data Analysis

Status: Free Trial

Politecnico di Milano

Machine Learning: an overview

Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Reinforcement Learning, Dimensionality Reduction, Algorithms, Data Mining, Classification And Regression Tree (CART), Regression Analysis

Statistical Inference Courses Online

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