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

Coursera Project Network
Analyze Data in Azure ML Studio
Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Matplotlib, Feature Engineering, Scatter Plots, Data Analysis, Statistics, Exploratory Data Analysis, Seaborn, Data Visualization Software, Correlation Analysis, Applied Machine Learning
Beginner · Guided Project · Less Than 2 Hours
University of Minnesota
Social Determinants of Health: Vulnerable Populations
Skills you'll gain: Health Disparities, Health Equity, Maternal Health, Statistical Analysis, Statistical Software, Box Plots, Economics, Policy, and Social Studies, Health Policy, Social Justice, Public Health and Disease Prevention, Child Health, Socioeconomics, Family Medicine, Statistical Hypothesis Testing, Public Health, Diversity Awareness, Policy Analysis
Beginner · Course · 1 - 3 Months
Coursera Project Network
Aggregate Data in SQL using MySQL Workbench
Skills you'll gain: MySQL, SQL, MySQL Workbench, Query Languages, Descriptive Statistics, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours
Rice University
Finanzen für Nicht-Finanzfachleute
Skills you'll gain: Cash Flows, Return On Investment, Finance, Business Valuation, Capital Budgeting, Financial Analysis, Financial Modeling, Investment Management, Financial Management, Financial Statements, Risk Analysis, Corporate Finance
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Household Surveys for Program Evaluation in LMICs
Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Data Quality, Research Design, Sample Size Determination, Interviewing Skills, Data Presentation, Data Ethics
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Advanced Methods in Machine Learning Applications
Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning
Intermediate · Course · 1 - 3 Months
Vanderbilt University
From Data to Decisions: Making Predictions with AI
Skills you'll gain: Statistical Methods, Data Presentation, Regression Analysis, Statistical Analysis, Technical Communication, Probability & Statistics, Data Analysis, Predictive Analytics, Generative AI, Forecasting
Intermediate · Course · 1 - 4 Weeks
Fundação Instituto de Administração
Valuation & Strategic Finance
Skills you'll gain: Financial Statement Analysis, Business Valuation, Financial Analysis, Cash Flows, Competitive Analysis, Financial Modeling, Investment Management, Capital Budgeting, Financial Forecasting, Market Analysis
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Исследование и генерация данных для принятия бизн.-реш.
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistics, Quantitative Research, Business Analysis, Business Risk Management, Statistical Analysis, Data-Driven Decision-Making, Statistical Visualization, Statistical Methods, Microsoft Excel, Probability Distribution, Data Presentation
Beginner · Course · 1 - 3 Months
Universidad de los Andes
Visión artificial contemporánea
Skills you'll gain: Computer Vision, Image Analysis, Generative AI, Deep Learning, Augmented and Virtual Reality (AR/VR), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Computer Graphics, Machine Learning Methods, Network Architecture, Machine Learning
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
Fundação Instituto de Administração
Fundamentos de IA Aplicados ao CRM
Skills you'll gain: Predictive Analytics, Customer Relationship Management, Advanced Analytics, Data-Driven Decision-Making, Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning
Beginner · Course · 1 - 4 Weeks
University of Minnesota
Social Determinants of Health: Health Care Systems
Skills you'll gain: Health Equity, Health Disparities, Health Systems, Public Health, Healthcare Ethics, Public Health and Disease Prevention, Health Policy, Data Analysis, Community Health, Data Ethics, Correlation Analysis, Patient Education and Support, Heat Maps, Mental and Behavioral Health, Trauma Care, Mental Health, Socioeconomics
Beginner · Course · 1 - 3 Months