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
National Taiwan University
人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)
Skills you'll gain: Computational Logic, Artificial Intelligence, Simulations, Programming Principles, Theoretical Computer Science, Algorithms, Machine Learning, Data Structures
4.8
Rating, 4.8 out of 5 stars
313 reviews
Beginner · Course · 1 - 3 Months
Status: New
Microsoft
Microsoft Data Visualization
Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Visualization Software, Data Modeling, Data Governance, Extract, Transform, Load, Data Visualization, Interactive Data Visualization, Business Intelligence, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design
4.6
Rating, 4.6 out of 5 stars
57 reviews
Beginner · Professional Certificate · 3 - 6 Months
EDHEC Business School
Advanced Portfolio Construction and Analysis with Python
Skills you'll gain: Portfolio Management, Investment Management, Investments, Financial Modeling, Financial Analysis, Asset Management, Financial Market, Estimation, Statistical Methods, Python Programming, Risk Analysis, Performance Analysis, Risk Management, Machine Learning
4.7
Rating, 4.7 out of 5 stars
506 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Discounted Cash Flow Modeling
Skills you'll gain: Financial Forecasting, Business Valuation, Financial Modeling, Financial Analysis, Cash Flows, Investment Banking, Capital Markets
4.3
Rating, 4.3 out of 5 stars
746 reviews
Intermediate · Guided Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
Pattern Discovery in Data Mining
Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Data Processing, Spatial Data Analysis, Exploratory Data Analysis, Advanced Analytics, Statistical Methods, Algorithms, Scalability, Information Privacy
4.3
Rating, 4.3 out of 5 stars
325 reviews
Mixed · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Introduction to Business Analytics with R
Skills you'll gain: Tidyverse (R Package), Data Processing, Business Analytics, Data Transformation, Data Manipulation, R Programming, Business Analysis, Business Process Automation, Analytics, Data Cleansing, Exploratory Data Analysis, Data Visualization, Data Analysis, Statistical Programming, Data-Driven Decision-Making
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
284 reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Machine Learning Operations (MLOps): Getting Started
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, CI/CD, Machine Learning, Automation, Data Processing, Software Development Methodologies
4
Rating, 4 out of 5 stars
461 reviews
Intermediate · Course · 1 - 4 Weeks
Pontificia Universidad Católica de Chile
Decisiones Financieras
Skills you'll gain: Financial Statements, Financial Statement Analysis, Portfolio Management, Financial Accounting, Income Statement, Financial Analysis, Balance Sheet, Investments, Financial Market, Business Valuation, Risk Management, Cash Management, Working Capital, Accrual Accounting, Market Liquidity, Cash Flows, Asset Management, Capital Budgeting, Financial Modeling, Investment Management
4.8
Rating, 4.8 out of 5 stars
190 reviews
Intermediate · Specialization · 3 - 6 Months
IBM
Machine Learning Introduction for Everyone
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Program Evaluation, Reinforcement Learning
4.5
Rating, 4.5 out of 5 stars
269 reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Developing Industrial Internet of Things
Skills you'll gain: Machine Learning Algorithms, Big Data, Internet Of Things, Analytics, Embedded Systems, Failure Analysis, File Systems, Debugging, Data Analysis, Machine Learning, Data Processing, Supervised Learning, IBM Cloud, Electronic Systems, Simulation and Simulation Software, Wireless Networks, Cloud Platforms, Computer Networking, Network Protocols, Technical Communication
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
800 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
Campus BBVA
Business Analytics
Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Data Visualization, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Data Visualization Software, Business Intelligence, Probability & Statistics, Statistical Inference, Big Data
4.5
Rating, 4.5 out of 5 stars
155 reviews
Beginner · Course · 1 - 3 Months
University of Maryland, College Park
Framework for Data Collection and Analysis
Skills you'll gain: Data Collection, Business Research, Survey Creation, Data Quality, Data Processing, Data Analysis, Sampling (Statistics), Quality Assessment, Data Access, Exploratory Data Analysis
4.2
Rating, 4.2 out of 5 stars
763 reviews
Intermediate · Course · 1 - 4 Weeks