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
Smart Analytics, Machine Learning and AI on GC - 한국어
Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Applied Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Natural Language Processing
Intermediate · Course · 1 - 3 Months
Status: New
Google Cloud
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch
Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, Google Cloud Platform, Applied Machine Learning, Machine Learning, Data Quality
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Responsible AI for Developers: Fairness & Bias - 日本語版
Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Quality, Data Analysis
Intermediate · Course · 1 - 3 Months
Status: New
Google Cloud
Machine Learning in the Enterprise - Italiano
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Machine Learning, Data Pipelines, Predictive Modeling, Applied Machine Learning, Continuous Monitoring
Intermediate · Course · 1 - 3 Months
Status: New
Google Cloud
MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어
Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Predictive Modeling, Machine Learning, Continuous Monitoring, Performance Tuning, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks
University of Leeds
Master of Science in Data Science (Statistics)
Skills you'll gain: Data Ethics, Regression Analysis, Unsupervised Learning, Statistical Hypothesis Testing, Correlation Analysis, Statistical Machine Learning, Statistical Visualization, Statistical Methods, Classification And Regression Tree (CART), Exploratory Data Analysis, Planning, Applied Machine Learning, Bayesian Statistics, Dimensionality Reduction, Supervised Learning, Box Plots, Statistics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis
Earn a degree
Degree · 1 - 4 Years
Status: New
Google Cloud
使用 BigQuery 机器学习推理功能
Skills you'll gain:
Beginner · Course · 1 - 4 Weeks
Status: New
Google Cloud
Usar o BigQuery ML para inferência
Skills you'll gain:
Beginner · Course · 1 - 4 Weeks
Pontificia Universidad Católica de Chile
Certificado en Introducción a la Ciencia de Datos
Skills you'll gain: Predictive Analytics, Unsupervised Learning, Data Cleansing, Exploratory Data Analysis, Data Visualization, Dimensionality Reduction, Data Science, Descriptive Analytics, Supervised Learning, Regression Analysis, Scientific Visualization, Data-Driven Decision-Making, Data Processing, Time Series Analysis and Forecasting, Pandas (Python Package), Data Visualization Software, Statistical Machine Learning, Data Manipulation, Statistical Visualization, Machine Learning
Credit offered
Mastertrack · 6 - 12 Months
Pontificia Universidad Católica de Chile
Magíster en Ciencia de Datos
Skills you'll gain: Revenue Management, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Unsupervised Learning, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Exploratory Data Analysis, Cloud Security, Network Model, Data Visualization
Earn a degree
Degree · 1 - 4 Years
Pontificia Universidad Católica de Chile
Certificado en Toma de Decisiones Basadas en Datos
Skills you'll gain: Descriptive Analytics, Business Analytics, Database Design, NoSQL, Statistical Reporting, SQL, Data Ethics, Digital Transformation, Query Languages, Data Mining, Databases, Data Analysis, R Programming, Big Data, Data-Driven Decision-Making, Predictive Analytics, Organizational Structure, Business Transformation, Business Strategy, Organizational Strategy
Credit offered
Mastertrack · 6 - 12 Months
IIT Roorkee
Executive MBA
Skills you'll gain: New Product Development, Mergers & Acquisitions, FinTech, Capital Budgeting, Supply Chain, Integrated Marketing Communications, Business Marketing, Sales Process, Innovation, Succession Planning, Management Accounting, Supply Chain Management, Statistical Process Controls, Product Management, Marketing Management, Revenue Management, Sampling (Statistics), Production Schedule, Project Portfolio Management, Financial Statement Analysis
Earn a degree
Degree · 1 - 4 Years

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

Smart Analytics, Machine Learning and AI on GC - 한국어: Google Cloud
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
Responsible AI for Developers: Fairness & Bias - 日本語版: Google Cloud
Machine Learning in the Enterprise - Italiano: Google Cloud
MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어: Google Cloud
Master of Science in Data Science (Statistics): University of Leeds
使用 BigQuery 机器学习推理功能: Google Cloud
Usar o BigQuery ML para inferência: Google Cloud
Certificado en Introducción a la Ciencia de Datos: Pontificia Universidad Católica de Chile
Magíster en Ciencia de Datos: Pontificia Universidad Católica de Chile

Statistical Inference Courses Online