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

Utrecht University
Clinical Epidemiology
Skills you'll gain: Epidemiology, Biostatistics, Clinical Research, Medical Science and Research, Clinical Trials, Patient Evaluation, Public Health, Patient Treatment, Predictive Modeling, Analysis, Risk Modeling, Statistical Modeling, Data Collection
4.7
Rating, 4.7 out of 5 stars
358 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Washington
Data Science at Scale
Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Data Science, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Governance, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling
4.2
Rating, 4.2 out of 5 stars
915 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
American Psychological Association
Psychological Research
Skills you'll gain: Descriptive Statistics, Quantitative Research, Plot (Graphics), Scientific Methods, Graphing, Research Design, Statistical Visualization, Statistical Hypothesis Testing, Healthcare Ethics, Probability & Statistics, Research, Statistical Inference, Statistics, Sample Size Determination, Ethical Standards And Conduct, Data Analysis, Data Collection, Research Methodologies, General Science and Research, Correlation Analysis
4.8
Rating, 4.8 out of 5 stars
236 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Pennsylvania
Application of AI, InsurTech, and Real Estate Technology
Skills you'll gain: FinTech, Financial Services, Emerging Technologies, Market Analysis, Artificial Intelligence and Machine Learning (AI/ML), Real Estate, Insurance, Artificial Intelligence, Investment Management, Asset Management, Market Trend, Machine Learning
4.6
Rating, 4.6 out of 5 stars
559 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Data Science in Real Life
Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, A/B Testing, Statistical Modeling
4.5
Rating, 4.5 out of 5 stars
2.4K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Santa Cruz
Bayesian Statistics: Time Series Analysis
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, Statistical Analysis, Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution
4.4
Rating, 4.4 out of 5 stars
16 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Generalized Linear Models and Nonparametric Regression
Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Advanced Analytics, Statistical Methods, Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Statistical Inference, Probability Distribution
Build toward a degree
4.3
Rating, 4.3 out of 5 stars
20 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Illinois Urbana-Champaign
Investments I: Fundamentals of Performance Evaluation
Skills you'll gain: Investments, Finance, Portfolio Management, Business Valuation, Financial Modeling, Equities, Return On Investment, Financial Analysis, Asset Management, Microsoft Excel, Regression Analysis, Risk Analysis, Performance Analysis, Estimation, Cash Flows
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
914 reviews
Intermediate · Course · 1 - 3 Months
Board Infinity
Quality Improvement and Management
Skills you'll gain: Quality Management, Statistical Process Controls, Quality Management Systems, ISO 9000 Series, Quality Improvement, Customer experience improvement, Quality Assurance, Quality Control, Continuous Quality Improvement (CQI), Continuous Improvement Process, Process Improvement, Customer Insights, Key Performance Indicators (KPIs)
4.3
Rating, 4.3 out of 5 stars
224 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Illinois Urbana-Champaign
Finance of Mergers and Acquisitions: Valuation and Pricing
Skills you'll gain: Mergers & Acquisitions, Business Valuation, Private Equity, Financial Analysis, Financial Modeling, Capital Markets, Corporate Finance, Market Data, Cash Flows, Business Strategy
4.7
Rating, 4.7 out of 5 stars
255 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
McMaster University
Finance for Everyone
Skills you'll gain: Peer Review, Finance, Financial Market, Financial Analysis, Cash Flows, Financial Modeling, Capital Markets, Investments, Derivatives, Business Valuation, Financial Policy, Equities, International Finance, Loans, Project Design, Market Dynamics, Risk Management, Credit Risk, Project Documentation, Stakeholder Engagement
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
Basic Statistics in Python (Correlations and T-tests)
Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming
4.4
Rating, 4.4 out of 5 stars
34 reviews
Beginner · Guided Project · Less Than 2 Hours