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
University of Pennsylvania
Calculus: Single Variable Part 4 - Applications
Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Probability & Statistics, Geometry, Probability, Advanced Mathematics, Torque (Physics), Statistics, Mechanics, Mathematical Modeling, Physics
4.9
Rating, 4.9 out of 5 stars
274 reviews
Mixed · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Machine Learning for Accounting with Python
Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Supervised Learning, Predictive Modeling, Python Programming, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Natural Language Processing, Statistical Analysis, Performance Metric
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
43 reviews
Intermediate · Course · 1 - 3 Months
Alberta Machine Intelligence Institute
Data for Machine Learning
Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Exploratory Data Analysis
4.4
Rating, 4.4 out of 5 stars
98 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
University of Colorado System
Genetic Epidemiology Foundations
Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Correlation Analysis, Medical Science and Research, Data Quality, Probability & Statistics, Molecular Biology, Statistical Methods, Regression Analysis, Data Validation, Biology
4.5
Rating, 4.5 out of 5 stars
49 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
National Taiwan University
頑想學概率：機率一 (Probability (1))
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy
4.8
Rating, 4.8 out of 5 stars
360 reviews
Beginner · Course · 1 - 3 Months
Whizlabs
Exam Prep AI-102: Microsoft Azure AI Engineer Associate
Skills you'll gain: Microsoft Azure, Data Ethics, Natural Language Processing, Image Analysis, Generative AI, Artificial Intelligence, Azure Active Directory, Cloud Solutions, Computer Vision, OpenAI, Text Mining, Machine Learning, Key Management, Application Deployment, Application Programming Interface (API)
3.4
Rating, 3.4 out of 5 stars
19 reviews
Intermediate · Course · 1 - 3 Months
Fundação Instituto de Administração
Análise de Dados para Workforce Management
Skills you'll gain: Workforce Management, People Analytics, Big Data, HR Tech, Workforce Planning, Data Mining, Data-Driven Decision-Making, Human Resource Strategy, Deep Learning, Human Resources Management and Planning, Data Visualization, Digital Transformation, Human Resources, Data Visualization Software, Data Modeling, R Programming, Data Science, Data Manipulation, Machine Learning, Data Structures
4.3
Rating, 4.3 out of 5 stars
60 reviews
Beginner · Specialization · 1 - 3 Months
University of California San Diego
Code Free Data Science
Skills you'll gain: Predictive Modeling, Data Manipulation, Predictive Analytics, Big Data, Data Mining, Statistical Methods, Data Analysis, Data Science, Data-Driven Decision-Making, Unsupervised Learning, Analytics, Software Installation
4.3
Rating, 4.3 out of 5 stars
209 reviews
Beginner · Course · 1 - 4 Weeks
Status: New
University of Illinois Urbana-Champaign
Advanced Topics in Artificial Intelligence
Skills you'll gain: Automation, Artificial Intelligence, Data Ethics, Advanced Analytics, Business Process Automation, Artificial Intelligence and Machine Learning (AI/ML), Robotic Process Automation, Data Infrastructure, Cloud Computing Architecture, Predictive Analytics, Data-Driven Decision-Making, Machine Learning, Emerging Technologies, Cloud Computing, Internet Of Things, Computer Hardware
Build toward a degree
Beginner · Course · 1 - 4 Weeks
University of Maryland, College Park
Financial Management for Product Leaders
Skills you'll gain: Financial Statements, Financial Modeling, Proposal Writing, Corporate Finance, Business Metrics, Balance Sheet, Business Valuation, Entrepreneurial Finance, Internal Communications, Financial Management, Cost Benefit Analysis, Project Finance, Return On Investment, Financial Forecasting, Product Management, Presentations, Cash Flows, Innovation
4.5
Rating, 4.5 out of 5 stars
74 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Moneyball and Beyond
Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
51 reviews
Intermediate · Course · 1 - 3 Months
Splunk Inc.
Splunk Search Expert 102
Skills you'll gain: Splunk, Data Transformation, Data Manipulation, Data Wrangling, Statistical Methods, Data Analysis Expressions (DAX), Statistical Analysis, Data Processing, Data Synthesis, Time Series Analysis and Forecasting
4.7
Rating, 4.7 out of 5 stars
47 reviews
Beginner · Course · 1 - 3 Months