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

Google Cloud
Innovating with Google Cloud Artificial Intelligence - 日本語版
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Data Ethics, Data Quality, Machine Learning, Business Process Automation, Cloud Computing, Natural Language Processing, Application Programming Interface (API)
Beginner · Course · 1 - 4 Weeks
Status: New
Universidades Anáhuac
Mejora tu negocio con Inteligencia Artificial
Skills you'll gain: Artificial Intelligence, Customer Analysis, Business Analytics, Business Intelligence, Business Process Automation, Predictive Analytics, Image Analysis, Machine Learning, Decision Tree Learning, Virtual Environment, Applied Machine Learning, Data Analysis, Natural Language Processing
Beginner · Course · 1 - 3 Months
Status: Free
Google Cloud
Attention Mechanism - Português Brasileiro
Skills you'll gain: Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Natural Language Processing, Machine Learning, Text Mining
Intermediate · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
MLOps in R: Deploying machine learning models using vetiver
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, Tidyverse (R Package), R Programming, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Hospital Admissions, Docker (Software), Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours
Google Cloud
Machine Learning Operations (MLOps): Getting Started - 한국어
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Application Lifecycle Management, DevOps, Continuous Deployment, Application Deployment, Software Development Life Cycle, Automation, Cloud Solutions, Machine Learning, Applied Machine Learning, Data Management
Intermediate · Course · 1 - 4 Weeks
Status: Free
Google Cloud
Create Image Captioning Models - Français
Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning
Advanced · Course · 1 - 4 Weeks
Illinois Tech
Cloud: Platform as a Service - Bachelor's
Skills you'll gain: Serverless Computing, Containerization, Platform As A Service (PaaS), Cloud Security, Cloud Services, Docker (Software), Information Management, Cloud Computing Architecture, Cloud Computing, Cloud Management, Cloud Infrastructure, Public Cloud, Database Management, DevOps, Machine Learning Software, Microservices, Scalability, Machine Learning
Build toward a degree
Intermediate · Course · 1 - 3 Months
Status: New
Northeastern University
NLP in Engineering: Concepts & Real-World Applications
Skills you'll gain: Natural Language Processing, Data Ethics, Deep Learning, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Artificial Intelligence, Network Model, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Scalability, Algorithms
Mixed · Course · 1 - 4 Weeks
Google Cloud
ML Pipelines on Google Cloud en Español
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Apache Airflow, Data Pipelines, Kubernetes, Tensorflow, Continuous Deployment, Continuous Integration, Metadata Management, PyTorch (Machine Learning Library), Containerization, Performance Tuning, Machine Learning
Advanced · Course · 1 - 3 Months
Packt
Introduction to FinTech Using R
Skills you'll gain: Shiny (R Package), FinTech, Data-Driven Decision-Making, R Programming, Financial Market, Budget Management, Web Applications, Financial Forecasting, Technical Analysis, Real Time Data, Strategic Decision-Making, Asset Management, Financial Analysis, Quantitative Research, Portfolio Management, Time Series Analysis and Forecasting, Statistical Analysis, Algorithms
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Données au service de la santé de la population
Skills you'll gain: Data Presentation, Data Quality, Epidemiology, Data Storytelling, Interactive Data Visualization, Policty Analysis, Research, and Development, Infographics, Health Care, Policy Development, Data Governance, Health Systems, Policy Analysis, Health Administration, Data Sharing, Data-Driven Decision-Making, Data Collection, Data Ethics, Research Methodologies, Research, Statistical Methods
Beginner · Course · 1 - 4 Weeks
Status: Free
Google Cloud
Introduction to AI and Machine Learning on GC - 日本語版
Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Big Data, Artificial Intelligence, Cloud API, Machine Learning, Automation, Natural Language Processing
Beginner · Course · 1 - 3 Months