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

EDUCBA
IoT Enabled Farming
Skills you'll gain: Internet Of Things, Big Data, Data Management, Wireless Networks, Predictive Analytics, Emerging Technologies, Data-Driven Decision-Making, Real Time Data, Automation, Environmental Science, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Collection
4.7
Rating, 4.7 out of 5 stars
163 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
New York University
Reinforcement Learning in Finance
Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Market Dynamics, Machine Learning, Estimation
3.6
Rating, 3.6 out of 5 stars
134 reviews
Advanced · Course · 1 - 4 Weeks
Universidad Austral
Estadística aplicada a los negocios
Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Business Risk Management, Risk Analysis, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling
4.6
Rating, 4.6 out of 5 stars
756 reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Transformer Models and BERT Model
Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative AI, Artificial Neural Networks
4.1
Rating, 4.1 out of 5 stars
110 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Advanced R Programming
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning
4.2
Rating, 4.2 out of 5 stars
574 reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
Real Estate Development: Building Value in Your Community
Skills you'll gain: Financial Modeling, Community Development, Real Estate, Feasibility Studies, Financial Analysis, Risk Management, Return On Investment, Commercial Real Estate, Community Outreach, Project Finance, Due Diligence, Property Management, Project Risk Management, Project Design, Capital Markets, Cash Flows, Market Research
4.9
Rating, 4.9 out of 5 stars
34 reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Free Trial
Duke University
Programming for Python Data Science: Principles to Practice
Skills you'll gain: Matplotlib, Pandas (Python Package), Computational Thinking, Predictive Modeling, Data Cleansing, Data Visualization Software, Visualization (Computer Graphics), Data Structures, Debugging, NumPy, Data Manipulation, Regression Analysis, Data Analysis, Python Programming, Algorithms, Simulations, Statistical Methods, Program Development, Data Science, Object Oriented Programming (OOP)
3.8
Rating, 3.8 out of 5 stars
70 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Columbia University
Term-Structure and Credit Derivatives
Skills you'll gain: Derivatives, Mortgage Loans, Securities (Finance), Credit Risk, Futures Exchange, Financial Modeling, Risk Modeling, Financial Market, Actuarial Science, Mathematical Modeling, Financial Trading, Securities Trading, Applied Mathematics, Investment Banking, Microsoft Excel, Analysis
4.5
Rating, 4.5 out of 5 stars
59 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Building Statistical Models in R: Linear Regression
Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Plot (Graphics), Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
19 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Colorado Boulder
Essential Linear Algebra for Data Science
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra
4.5
Rating, 4.5 out of 5 stars
173 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Tableau Learning Partner
Advanced Data Visualization with Tableau
Skills you'll gain: Data Visualization Software, Spatial Data Analysis, Tableau Software, Data Storytelling, Data Visualization, Statistical Visualization, Interactive Data Visualization, Geospatial Information and Technology, Stakeholder Communications, Tree Maps, Business Reporting, Data Analysis, Business Analytics, Data Mapping
4.9
Rating, 4.9 out of 5 stars
91 reviews
Beginner · Course · 1 - 4 Weeks
Emory University
Math for MBA and GMAT Prep
Skills you'll gain: Regression Analysis, Data Visualization, Business Mathematics, Descriptive Statistics, Microsoft Excel, Statistics, Business Analytics, Excel Formulas, Algebra, Calculus, Arithmetic
4.2
Rating, 4.2 out of 5 stars
44 reviews
Beginner · Course · 1 - 3 Months