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 Colorado System
Clinical Data Science
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, R Programming, Data Manipulation, Predictive Modeling, Database Design, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Risk Modeling, Natural Language Processing, Health Informatics, Statistical Modeling, Bioinformatics, Text Mining, Data Processing
4.5
Rating, 4.5 out of 5 stars
469 reviews
Intermediate · Specialization · 3 - 6 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
227 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Rice University
Linear Regression for Business Statistics
Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Estimation, Data Analysis, Data Transformation
4.8
Rating, 4.8 out of 5 stars
1.4K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Databricks
Introduction to Computational Statistics for Data Scientists
Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Statistics, NumPy, Simulations, Mathematical Software, Statistical Inference
4
Rating, 4 out of 5 stars
109 reviews
Beginner · Specialization · 1 - 3 Months
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
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, Market Trend, Asset Management, Machine Learning
4.6
Rating, 4.6 out of 5 stars
559 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
University of California San Diego
Combinatorics and Probability
Skills you'll gain: Combinatorics, Probability, Algorithms, Mathematical Modeling, Computational Thinking, Statistics, Game Theory, Python Programming
4.6
Rating, 4.6 out of 5 stars
863 reviews
Beginner · Course · 1 - 3 Months
University of Washington
Social Media Data Analytics
Skills you'll gain: R Programming, Text Mining, Statistical Analysis, Correlation Analysis, Web Scraping, Regression Analysis, Analytics, Big Data, Data Analysis, Data Mining, Unstructured Data, Data Collection, Scripting, Application Programming Interface (API), Python Programming
4.1
Rating, 4.1 out of 5 stars
296 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
COVID19 Data Analysis Using Python
Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Infectious Diseases
4.5
Rating, 4.5 out of 5 stars
2K reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Illinois Urbana-Champaign
Operations Management: Quality and Supply Chain
Skills you'll gain: Process Improvement, Supply Chain, Supply Chain Management, Supply Chain Systems, Operations Management, Supply Chain Planning, Business Operations, Process Analysis, Statistical Process Controls, Materials Management, Continuous Improvement Process, Process Capability, Business Technologies, Emerging Technologies, Inventory Management System, Quality Management, Vendor Contracts, Supplier Relationship Management, Corporate Sustainability, Product Quality (QA/QC)
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Kennesaw State University
Six Sigma Advanced Improve and Control Phases
Skills you'll gain: Statistical Process Controls, Root Cause Analysis, Lean Methodologies, Process Capability, Quality Control, Six Sigma Methodology, Process Analysis, Lean Manufacturing, Process Improvement, Continuous Improvement Process, Operational Efficiency, Waste Minimization
4.8
Rating, 4.8 out of 5 stars
712 reviews
Intermediate · Course · 1 - 3 Months