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

Status: New
Packt
Natural Language Processing - Probability Models in Python
Skills you'll gain: Natural Language Processing, Text Mining, Unsupervised Learning, Dimensionality Reduction, Bayesian Statistics, Probability & Statistics, Python Programming, Machine Learning, Regression Analysis
Intermediate · Course · 1 - 3 Months
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
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
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
Status: New
Packt
Matrix Calculus for Data Science & Machine Learning
Skills you'll gain: Applied Mathematics, NumPy, Calculus, Numerical Analysis, Advanced Mathematics, Linear Algebra, Data Science, Jupyter, Machine Learning Algorithms, Derivatives, Machine Learning, Algorithms
Intermediate · Course · 1 - 3 Months
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
Status: Free
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
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
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
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