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 .

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Explore the Statistical Inference Course Catalog

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Google Cloud
Geliştiriciler İçin Sorumlu Yapay Zeka: Adalet ve Önyargı
Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Validation, Data Quality, Data Analysis
Intermediate · Course · 1 - 4 Weeks
University of Maryland, College Park
Digital Marketing 2
Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Google Analytics, Digital Marketing, Search Engine Marketing, Paid media, Web Analytics, Web Analytics and SEO, Online Advertising, Digital Advertising, Marketing Effectiveness, A/B Testing, Applied Machine Learning, Marketing Automation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Applying Machine Learning to Your Data with GC - Español
Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Predictive Modeling, Deep Learning, Artificial Intelligence, Natural Language Processing, Computer Vision, Application Programming Interface (API)
Beginner · Course · 1 - 3 Months
Status: New
Coursera Instructor Network
Data and Machine Learning for Technical Product Managers
Skills you'll gain: Technical Communication, Technical Product Management, Workflow Management, Performance Metric, Data Analysis, Agile Methodology, Project Management, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, R Programming
Intermediate · Course · 1 - 4 Weeks
Status: New
Google Cloud
Introduction to AI and Machine Learning on GC - Indonesian
Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Cloud Solutions, Big Data, Machine Learning, Predictive Modeling, Natural Language Processing
Beginner · Course · 1 - 3 Months
Google Cloud
Responsible AI for Developers: Interpretability & Transparency - Español
Skills you'll gain: Data Ethics, Data Modeling, Data Analysis, Data Visualization Software, Artificial Intelligence, Machine Learning, Applied Machine Learning, Software Development Tools, Technical Documentation
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Smart Analytics, Machine Learning, and AI on GCP - Italiano
Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Jupyter, Machine Learning, Predictive Modeling, Artificial Intelligence
Intermediate · Course · 1 - 3 Months
Google Cloud
Responsible AI for Developers: Interpretability & Transparency - 简体中文
Skills you'll gain: Data Ethics, Data Modeling, Data Analysis, Artificial Intelligence, Applied Machine Learning, Machine Learning, Technical Communication
Intermediate · Course · 1 - 4 Weeks
Status: New
Google Cloud
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español
Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Large Language Modeling, Machine Learning, Data Quality
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Introduction to AI and Machine Learning on GC - 한국어
Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Intelligence, Machine Learning, Predictive Modeling, Natural Language Processing
Beginner · Course · 1 - 3 Months
Google Cloud
Responsible AI for Developers: Privacy & Safety - 繁體中文
Skills you'll gain: Information Privacy, Google Cloud Platform, Personally Identifiable Information, Cloud Security, Data Security, Open Source Technology, Artificial Intelligence, Safety and Security, Machine Learning, Technical Design
Intermediate · Course · 1 - 3 Months
Google Cloud
Applying Machine Learning to Your Data with GC - Português
Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Natural Language Processing, Image Analysis, Application Programming Interface (API), Performance Metric
Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular statistical inference courses

Geliştiriciler İçin Sorumlu Yapay Zeka: Adalet ve Önyargı: Google Cloud
Digital Marketing 2: University of Maryland, College Park
Applying Machine Learning to Your Data with GC - Español: Google Cloud
Data and Machine Learning for Technical Product Managers: Coursera Instructor Network
Introduction to AI and Machine Learning on GC - Indonesian: Google Cloud
Responsible AI for Developers: Interpretability & Transparency - Español: Google Cloud
Smart Analytics, Machine Learning, and AI on GCP - Italiano: Google Cloud
Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
Introduction to AI and Machine Learning on GC - 한국어: Google Cloud

Statistical Inference Courses Online