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

Pontificia Universidad Católica de Chile
Certificado en Introducción a la Ciencia de Datos
Skills you'll gain: Data Visualization, Predictive Analytics, Unsupervised Learning, Data Cleansing, Exploratory Data Analysis, Dimensionality Reduction, Descriptive Analytics, Supervised Learning, Visualization (Computer Graphics), Data-Driven Decision-Making, Data Processing, Time Series Analysis and Forecasting, Pandas (Python Package), Regression Analysis, Data Science, Statistical Machine Learning, Data Visualization Software, Machine Learning, Statistical Visualization, Matplotlib
Credit offered
Mastertrack · 6 - 12 Months
University of Michigan
Master of Applied Data Science
Skills you'll gain: Data Ethics, Data Storytelling, Database Design, Reinforcement Learning, Supervised Learning, Experimentation, PySpark, Interactive Data Visualization, Generative AI, Pandas (Python Package), Network Analysis, Deep Learning, Applied Machine Learning, Cloud Services, Natural Language Processing, JSON, Data Mining, Qualitative Research, Statistical Visualization, Unsupervised Learning
Earn a degree
Degree · 1 - 4 Years
University of Colorado Boulder
Master of Science in Data Science
Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, Real-Time Operating Systems, New Product Development, Field-Programmable Gate Array (FPGA), Delegation Skills, Unsupervised Learning, Sampling (Statistics), Failure Analysis, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Goal Setting, Proposal Writing, Generative AI
Earn a degree
Degree · 1 - 4 Years
Google Cloud
Responsible AI for Developers: Fairness & Bias - Polski
Skills you'll gain: Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Machine Learning, Google Cloud Platform
Intermediate · Course · 1 - 3 Months
Universidad de los Andes
Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®
Skills you'll gain: Network Analysis, Data Storytelling, Data Visualization, Financial Statement Analysis, Data Presentation, Predictive Modeling, Financial Modeling, Statistical Machine Learning, Predictive Analytics, Marketing Analytics, Strategic Decision-Making, Sales Territory Management, Marketing Management, Operations Research, Pandas (Python Package), Natural Language Processing, Process Optimization, Decision Tree Learning, Systems Analysis, Scikit Learn (Machine Learning Library)
Credit offered
Mastertrack · 6 - 12 Months
IIT Guwahati
Bachelor of Science in Data Science & AI
Skills you'll gain: Package and Software Management, Time Series Analysis and Forecasting, Linear Algebra, Data Structures, Data Warehousing, Database Management, Database Theory, Writing, Algorithms, Java Programming, Object Oriented Programming (OOP), Spreadsheet Software, Econometrics, R Programming, Text Mining, Artificial Intelligence, Data Visualization Software, C (Programming Language), Probability, Statistical Machine Learning
Earn a degree
Degree · 1 - 4 Years
IIT Roorkee
Executive MBA
Skills you'll gain: New Product Development, Mergers & Acquisitions, FinTech, Capital Budgeting, Supply Chain, Integrated Marketing Communications, Business Marketing, Sales Process, Innovation, Succession Planning, Management Accounting, Supply Chain Management, Statistical Process Controls, Product Management, Marketing Management, Revenue Management, Sampling (Statistics), Production Schedule, Project Portfolio Management, Financial Statement Analysis
Earn a degree
Degree · 1 - 4 Years
University of London
Bachelor of Science in Marketing
Skills you'll gain: Process Design, Global Marketing, Consumer Behaviour, Statistical Analysis, Organizational Change, Integrated Marketing Communications, Advertising, Innovation, Mergers & Acquisitions, Supply Chain Management, Training and Development, Virtual Teams, Diversity and Inclusion, Databases, Cost Accounting, International Finance, Research, Branding, Economic Development, Cultural Diversity
Earn a degree
Degree · 1 - 4 Years
University of London
Bachelor of Science in Business Administration
Skills you'll gain: Process Design, Global Marketing, Consumer Behaviour, Statistical Analysis, Organizational Change, Integrated Marketing Communications, Advertising, Innovation, Mergers & Acquisitions, Supply Chain Management, Training and Development, Virtual Teams, Diversity and Inclusion, Databases, Cost Accounting, International Finance, Research, Branding, Economic Development, Cultural Diversity
Earn a degree
Degree · 1 - 4 Years
Imperial College London
Master of Science in Machine Learning and Data Science
Skills you'll gain: Data Ethics, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Data Pipelines, Linear Algebra, Ggplot2, Dimensionality Reduction, Student Services, Data Processing, Big Data, Agentic systems, Graphing, A/B Testing, Unstructured Data, Deep Learning, Bayesian Statistics, Applied Machine Learning
Earn a degree
Degree · 1 - 4 Years