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: Free
Google Cloud
Transformer Models and BERT Model
Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative AI, Artificial Neural Networks
4.1
Rating, 4.1 out of 5 stars
109 reviews
Advanced · Course · 1 - 4 Weeks
Universidad Nacional Autónoma de México
Administración financiera y su función en la empresa
Skills you'll gain: Financial Statement Analysis, Financial Management, Corporate Finance, Performance Measurement, Capital Budgeting, Financial Analysis, Budgeting, Financial Modeling, Business Management, Stakeholder Management, Governance
4.8
Rating, 4.8 out of 5 stars
1.7K reviews
Intermediate · Course · 1 - 3 Months
Google Cloud
Machine Learning Operations (MLOps): Getting Started
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Machine Learning Software, Continuous Deployment, Machine Learning, Continuous Integration, Continuous Monitoring, Automation, Software Development Methodologies
4
Rating, 4 out of 5 stars
461 reviews
Intermediate · Course · 1 - 4 Weeks
University of Maryland, College Park
Framework for Data Collection and Analysis
Skills you'll gain: Surveys, Research Methodologies, Data Collection, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Big Data, Statistical Methods
4.2
Rating, 4.2 out of 5 stars
763 reviews
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Investment Banking: Financial Analysis and Valuation
Skills you'll gain: Financial Statement Analysis, Investment Banking, Financial Forecasting, Business Valuation, Financial Analysis, Financial Modeling, Mergers & Acquisitions, Income Statement, Balance Sheet, Cash Flows, Benchmarking, Spreadsheet Software
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
166 reviews
Intermediate · Course · 1 - 3 Months
Yonsei University
Valuation and Financial Analysis For Startups
Skills you'll gain: Capital Budgeting, Financial Statements, Financial Statement Analysis, Business Valuation, Financial Analysis, Cash Flow Forecasting, Strategic Decision-Making, Cost Benefit Analysis, Financial Modeling, Income Statement, Return On Investment, Entrepreneurial Finance, Cash Flows, Balance Sheet, Microsoft Excel, Financial Management, Investment Management, Financial Forecasting, Forecasting, Finance
4.4
Rating, 4.4 out of 5 stars
498 reviews
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
Getting Started with R
Skills you'll gain: Data Import/Export, Package and Software Management, R Programming, Data Structures, Data Literacy, Software Installation, Data Analysis Software
4.3
Rating, 4.3 out of 5 stars
380 reviews
Beginner · Guided Project · Less Than 2 Hours
Johns Hopkins University
Statistical Methods for Computer Science
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics
Intermediate · Specialization · 3 - 6 Months
Status: Free
University of California, Santa Cruz
AI, Empathy & Ethics
Skills you'll gain: Data Ethics, Artificial Intelligence, Artificial Neural Networks, Ethical Standards And Conduct, Deep Learning, Machine Learning, Supervised Learning, Reinforcement Learning, Policy Development
4.5
Rating, 4.5 out of 5 stars
280 reviews
Beginner · Course · 1 - 4 Weeks
Meta
Data Analysis with Spreadsheets and SQL
Skills you'll gain: Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Pivot Tables And Charts, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Data-Driven Decision-Making, Statistical Analysis, SQL
4.6
Rating, 4.6 out of 5 stars
223 reviews
Beginner · Course · 1 - 3 Months
Imperial College London
Infectious Disease Modelling
Skills you'll gain: Epidemiology, Mathematical Modeling, Statistical Modeling, Simulations, Infectious Diseases, R Programming, Public Health, Differential Equations, Statistical Methods
4.8
Rating, 4.8 out of 5 stars
293 reviews
Intermediate · Specialization · 1 - 3 Months
University of Michigan
Sampling People, Networks and Records
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Software, Probability & Statistics, Probability, Research Methodologies, Network Analysis
4.3
Rating, 4.3 out of 5 stars
104 reviews
Beginner · Course · 1 - 3 Months