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
Fundamentals of AI, Machine Learning, and Python Programming
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Matplotlib, Artificial Intelligence, Pandas (Python Package), Python Programming, NumPy, Data Analysis, Artificial Neural Networks, Tensorflow, Exploratory Data Analysis, Data Visualization, Classification And Regression Tree (CART), Data Processing, Regression Analysis, Data Science, Machine Learning
Beginner · Course · 3 - 6 Months
Google Cloud
Machine Learning Operations (MLOps): Getting Started - Français
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Application Lifecycle Management, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Automation, Cloud Solutions, Machine Learning, Continuous Delivery, Continuous Integration, Data Processing
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Data Science Decisions in Time: Information Theory & Games
Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Machine Learning, Artificial Intelligence, Risk Modeling
Intermediate · Course · 1 - 3 Months
SkillUp EdTech
Improvement Techniques and Control Tools
Skills you'll gain: Lean Methodologies, Process Improvement, Quality Improvement, Lean Manufacturing, Statistical Process Controls, Continuous Improvement Process, Process Optimization, Continuous Quality Improvement (CQI), Process Management, Quality Control, Employee Training, Waste Minimization, Data-Driven Decision-Making
Beginner · Course · 1 - 3 Months
Packt
Deep Learning: Recurrent Neural Networks with Python
Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Network Architecture, Algorithms
Beginner · Specialization · 1 - 3 Months
Status: Free
New York University
MOST from a Methodological Perspective
Skills you'll gain: Resource Management, Clinical Trials, Process Improvement and Optimization, Experimentation, Sample Size Determination, Research Design, Program Evaluation, Science and Research, Research Methodologies, Statistical Analysis
Intermediate · Course · 1 - 3 Months
Università di Napoli Federico II
Derivatives
Skills you'll gain: Derivatives, Financial Market, Securities (Finance), Finance, Investments, Equities, Risk Modeling, Financial Modeling, Numerical Analysis, Mathematical Modeling, Simulation and Simulation Software, Probability
Intermediate · Course · 1 - 3 Months
University of Colorado System
Time, Change, and Decisions for Marketing
Skills you'll gain: Marketing Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Data-Driven Decision-Making, Marketing Strategies, Strategic Decision-Making, Time Series Analysis and Forecasting, Trend Analysis, Statistical Modeling, Simulation and Simulation Software, Predictive Analytics, Customer Engagement, Customer Retention, Customer Insights, Reinforcement Learning, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks
Status: Free
Coursera Instructor Network
GenAI for Financial Forecasting and Planning
Skills you'll gain: Financial Forecasting, Forecasting, Generative AI, Financial Management, Financial Modeling, Market Intelligence, Predictive Analytics, Business Planning, Data-Driven Decision-Making, Financial Planning, Artificial Intelligence, Strategic Decision-Making, Data Quality
Beginner · Course · 1 - 4 Weeks
Status: Free
Oracle
Oracle Cloud Infrastructure Generative AI Professional
Skills you'll gain: Generative AI, Oracle Cloud, Semantic Web, Artificial Intelligence, Natural Language Processing, Deep Learning, Python Programming, Application Development, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Online Influence and Persuasion
Skills you'll gain: Network Analysis, Data Analysis, Analytics, Statistical Analysis, Facebook, Instagram, Data Mining, Social Sciences, Behavioral Economics, Research, Sociology, Persuasive Communication, Application Programming Interface (API), Media and Communications, Scripting, Psychology
Intermediate · Course · 1 - 3 Months
Fundação Instituto de Administração
Valuation & Strategic Finance
Skills you'll gain: Financial Statement Analysis, Business Valuation, Financial Analysis, Competitive Analysis, Financial Modeling, Investment Management, Capital Budgeting, Cash Flow Forecasting, Financial Forecasting, Market Analysis, Performance Analysis, Business Strategy, Risk Analysis
Intermediate · Course · 1 - 3 Months