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

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
University of Glasgow
Machine Learning and its Applications
Skills you'll gain: Matlab, Artificial Neural Networks, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Processing, Machine Learning Algorithms, Supervised Learning, Data Quality, Classification And Regression Tree (CART), Predictive Modeling, Regression Analysis
Beginner · Course · 1 - 3 Months
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
Edureka
Machine Learning with PySpark
Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Processing, Distributed Computing, Predictive Modeling, Big Data, Feature Engineering, Machine Learning, Machine Learning Algorithms, Supervised Learning, Regression Analysis
Intermediate · Course · 1 - 4 Weeks
Northeastern University
Aligning Business Strategy for AI Integration
Skills you'll gain: Competitive Analysis, Machine Learning, Business Strategy, Machine Learning Software, Technology Strategies, Organizational Strategy, Business Analytics, Strategic Thinking, Market Analysis, Artificial Intelligence, Value Engineering, Business Analysis, Ethical Standards And Conduct
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Machine Learning and Emerging Technologies in Cybersecurity
Skills you'll gain: Cyber Threat Intelligence, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Data Mining, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months
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
Northeastern University
Foundations in Human-Centered AI
Skills you'll gain: Human Centered Design, Human Computer Interaction, Generative AI, User Interface (UI), Artificial Intelligence, User Experience Design, Machine Learning, Ethical Standards And Conduct, Deep Learning
Mixed · 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
Whizlabs
NVIDIA: Fundamentals of Machine Learning
Skills you'll gain: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Feature Engineering, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Regression Analysis
Intermediate · 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
University of Maryland, College Park
Digital Marketing Tools: Machine Learning and AI
Skills you'll gain: Apache Hadoop, Customer Analysis, Marketing Automation, Marketing Analytics, Digital Marketing, Marketing Strategies, Big Data, Machine Learning, Personalized Service, Artificial Neural Networks, Performance Analysis, Deep Learning, Artificial Intelligence, Predictive Analytics
Beginner · Course · 1 - 4 Weeks