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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University of Illinois Urbana-Champaign

Health Data Science Foundation

Skills you'll gain: Health Informatics, Deep Learning, Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Unsupervised Learning, Program Development, Predictive Modeling

Status: Free Trial

University of California, Davis

Introduction to Sensory Science

Skills you'll gain: Food Quality Assurance And Control, Consumer Behaviour, Product Testing, Nutrition and Diet, Quality Assessment, Marketing Psychology, Scientific Methods, Psychology, Product Development, Medical Science and Research, Neurology, Statistical Analysis

DeepLearning.AI

Нейронные сети и глубокое обучение

Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Network Architecture, NumPy

Status: Free Trial

IBM

AI Workflow: Business Priorities and Data Ingestion

Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming

Coursera Instructor Network

Mastering Portfolio Analysis

Skills you'll gain: Portfolio Management, Financial Analysis, Data Analysis, Risk Management, Quantitative Research, Market Data, Financial Modeling, Investments, Asset Management, Performance Metric

Status: Free Trial

University of Illinois Urbana-Champaign

Accounting Data Analytics with Python

Skills you'll gain: Jupyter, Matplotlib, Pandas (Python Package), Data Manipulation, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Programming Principles, Business Analysis, Databases, Accounting, Relational Databases, Data Modeling, Python Programming, Descriptive Statistics, Statistical Machine Learning, Regression Analysis

Status: Free Trial

Queen Mary University of London

Research Instruments and Research Hypotheses

Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Processing, Data Collection, Quantitative Research, Statistics, Data Analysis, Data Validation

Status: Free Trial

University of Colorado Boulder

Project Planning and Machine Learning

Skills you'll gain: Machine Learning Algorithms, Big Data, Product Development, Analytics, File Systems, New Product Development, Data Analysis, Machine Learning, Applied Machine Learning, Internet Of Things, Data Processing, Supervised Learning, Product Planning, Unsupervised Learning, Data Storage

Status: Free Trial

LearnQuest

Key Technologies in Data Analytics

Skills you'll gain: Data Warehousing, Data Visualization, Data Analysis, Cloud Computing, Data Architecture, Big Data, Cloud Services, Analytics, Data Storage, Cloud Computing Architecture, Cloud Infrastructure, Cloud Solutions, Scalability, Data Processing, Extract, Transform, Load, Cloud Platforms, Statistical Analysis, Data Integration, Data Mining, Spreadsheet Software

University of Illinois Urbana-Champaign

Forecasting Financial Statements & Valuation for Accountants

Skills you'll gain: Financial Forecasting, Financial Statement Analysis, Financial Accounting, Business Valuation, Financial Statements, Cash Flow Forecasting, Financial Analysis, Financial Modeling, Balance Sheet, Generally Accepted Accounting Principles (GAAP), Trend Analysis

Status: Free Trial

University of Illinois Urbana-Champaign

Accounting for Mergers and Acquisitions: Advanced Topics

Skills you'll gain: Mergers & Acquisitions, Financial Statement Analysis, Corporate Accounting, Investment Banking, Private Equity, Financial Analysis, Corporate Tax, Financial Modeling, Financial Accounting, Capital Markets, Accounting, Corporate Finance, Tax

Status: New

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Duke University

Data Science with R

Skills you'll gain: Data Ethics, R Programming, Web Scraping, Data Visualization Software, Data Visualization, Data Science, Ggplot2, Tidyverse (R Package), Data Wrangling, Data Analysis, Data Manipulation, Statistical Programming, Data Integrity, Data Import/Export, Data Transformation, Data Collection, Data Cleansing, Data Quality, Data Presentation, Data Literacy

Statistical Inference Courses Online

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