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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Explore the Statistical Inference Course Catalog

Google Cloud
Launching into Machine Learning - 한국어
Skills you'll gain: Applied Machine Learning, Machine Learning Algorithms, Data Quality, Machine Learning, Data Cleansing, Supervised Learning, Exploratory Data Analysis, Google Cloud Platform, Regression Analysis, Big Data, Sampling (Statistics), Performance Tuning
Beginner · Course · 1 - 3 Months
Google Cloud
Machine Learning in the Enterprise - 한국어
Skills you'll gain: Data Management, MLOps (Machine Learning Operations), Data Governance, Data Processing, Workflow Management, Google Cloud Platform, Applied Machine Learning, Data Pipelines, Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Containerization
Intermediate · Course · 1 - 3 Months
Google Cloud
Encoder-Decoder Architecture - 日本語版
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Machine Learning Methods, Deep Learning, Natural Language Processing, Machine Learning
Advanced · Course · 1 - 4 Weeks
Google Cloud
Responsible AI for Developers: Interpretability & Transparency - 繁體中文
Skills you'll gain: Data Ethics, Data Analysis, Data Modeling, Artificial Intelligence, Machine Learning, Technical Communication
Intermediate · Course · 1 - 4 Weeks
Status: New
Packt
Matrix Calculus for Data Science & Machine Learning
Skills you'll gain: Calculus, Applied Mathematics, NumPy, Linear Algebra, Applied Machine Learning, Tensorflow, Machine Learning, Derivatives, Algorithms, Development Environment
Intermediate · Course · 1 - 3 Months
Status: New
Google Cloud
Introduction to AI and Machine Learning on GC - Deutsch
Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Development, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Applied Machine Learning, Large Language Modeling, Artificial Intelligence, Machine Learning, Cloud Infrastructure, Predictive Modeling
Beginner · Course · 1 - 3 Months
Status: Free Trial
Google Cloud
Geliştiriciler İçin Sorumlu Yapay Zeka
Skills you'll gain: Cloud Security, Generative AI, Data Ethics, Information Privacy, Google Cloud Platform, Artificial Intelligence, Data Security, Information Systems Security, Testability, Maintainability, Open Source Technology, Safety and Security, Artificial Intelligence and Machine Learning (AI/ML), Data Visualization Software, Applied Machine Learning, Machine Learning, Software Documentation, Data Validation, Data Quality, Data Analysis
Intermediate · Specialization · 1 - 3 Months
Google Cloud
Responsible AI: Applying AI Principles with Google Cloud - Deutsch
Skills you'll gain: Data Ethics, Artificial Intelligence, Governance, Business Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Ethical Standards And Conduct, Google Cloud Platform, Scenario Testing, Decision Making
Beginner · Course · 1 - 3 Months
Google Cloud
Launching into Machine Learning - Italiano
Skills you'll gain: Applied Machine Learning, Data Quality, Machine Learning Methods, Machine Learning, Data Cleansing, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Exploratory Data Analysis, Predictive Modeling, Performance Tuning, Big Data, Sampling (Statistics), Regression Analysis
Beginner · Course · 1 - 3 Months
Google Cloud
Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Artificial Neural Networks, Application Deployment, Scalability, Machine Learning, Data Transformation, Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months
Google Cloud
Responsible AI for Developers: Fairness & Bias - Español
Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Machine Learning, Data Quality, Data Analysis, Data Validation
Intermediate · Course · 1 - 3 Months
Google Cloud
Production Machine Learning Systems - Português Brasileiro
Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Google Cloud Platform, Tensorflow, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Distributed Computing, Performance Tuning, Scalability, Machine Learning, Data Pipelines, Verification And Validation, Data Processing
Advanced · Course · 1 - 3 Months

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

Launching into Machine Learning - 한국어: Google Cloud
Machine Learning in the Enterprise - 한국어: Google Cloud
Encoder-Decoder Architecture - 日本語版: Google Cloud
Responsible AI for Developers: Interpretability & Transparency - 繁體中文: Google Cloud
Matrix Calculus for Data Science & Machine Learning: Packt
Introduction to AI and Machine Learning on GC - Deutsch: Google Cloud
Geliştiriciler İçin Sorumlu Yapay Zeka: Google Cloud
Responsible AI: Applying AI Principles with Google Cloud - Deutsch: Google Cloud
Launching into Machine Learning - Italiano: Google Cloud
Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud

Statistical Inference Courses Online