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

Columbia University
Financial Engineering and Risk Management
Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Financial Systems, Asset Management, Credit Risk, Actuarial Science, Mortgage Loans, Mathematical Modeling, Mathematics and Mathematical Modeling, Applied Mathematics, Financial Trading, Financial Modeling, Risk Modeling, Regression Analysis, Market Liquidity, Capital Markets, Statistical Methods
4.6
Rating, 4.6 out of 5 stars
369 reviews
Intermediate · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Business Analytics
Skills you'll gain: Data Storytelling, Extract, Transform, Load, Marketing Analytics, Data Presentation, Data Visualization, Regression Analysis, Alteryx, Data Collection, Interactive Data Visualization, Data Quality, Statistical Visualization, Tidyverse (R Package), R Programming, Data Visualization Software, Data Processing, Network Analysis, Business Analytics, Internal Controls, Exploratory Data Analysis, Robotic Process Automation
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
1.1K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Applied Data Science with R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Shiny (R Package), Data Wrangling, Dashboard, Exploratory Data Analysis, Relational Databases, Data Analysis, Ggplot2, Database Design, Data Presentation, SQL, Plot (Graphics), Leaflet (Software), Data Transformation, Database Management, Data Manipulation, Web Scraping, R Programming
4.5
Rating, 4.5 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
Universidad Nacional Autónoma de México
Finanzas corporativas
Skills you'll gain: Business Valuation, Fixed Asset, Financial Statement Analysis, Financial Management, Corporate Finance, Capital Budgeting, Performance Measurement, Business Mathematics, Financial Modeling, Mergers & Acquisitions, Project Finance, Investment Management, Financial Analysis, Finance, Portfolio Management, Budgeting, Business Management, Cash Flows, Business Modeling, Capital Markets
4.7
Rating, 4.7 out of 5 stars
2.8K reviews
Intermediate · Specialization · 3 - 6 Months
University of Maryland, College Park
Product Ideation, Design, and Management
Skills you'll gain: Stakeholder Management, Product Management, Product Development, New Product Development, Wireframing, Financial Statements, Product Design, User Experience Design, Team Leadership, Prototyping, Competitive Analysis, Financial Modeling, Value Propositions, Proposal Writing, Innovation, Corporate Finance, Target Market, Market Opportunities, Ideation, Product Improvement
4.5
Rating, 4.5 out of 5 stars
677 reviews
Beginner · Specialization · 3 - 6 Months
Imperial College London
Mathematics for Machine Learning: PCA
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus
4
Rating, 4 out of 5 stars
3.1K reviews
Intermediate · Course · 1 - 4 Weeks
University of Virginia
Artificial Intelligence in Marketing
Skills you'll gain: Marketing Strategies, Digital Transformation, Marketing, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, Algorithms, Business Strategy, Competitive Analysis, Network Analysis, Customer experience improvement, Machine Learning
4.6
Rating, 4.6 out of 5 stars
287 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
The State University of New York
Practical Time Series Analysis
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Correlation Analysis, Regression Analysis, Descriptive Statistics, Statistical Inference, Software Installation
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Intermediate · Course · 1 - 3 Months
DeepLearning.AI
IA Para Todos (Español)
Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision
4.9
Rating, 4.9 out of 5 stars
1.2K reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Advanced Linear Models for Data Science 2: Statistical Linear Models
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus
4.6
Rating, 4.6 out of 5 stars
101 reviews
Advanced · Course · 1 - 4 Weeks
University of Maryland, College Park
Survey Data Collection and Analytics
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Research Methodologies, Data Collection, Statistical Analysis, Statistical Software, Interviewing Skills, Data Integration, Data Ethics, Research Design, Stata, R Programming, Data Quality, Statistical Modeling, Qualitative Research, Descriptive Statistics, Statistical Programming, Data Cleansing
4.4
Rating, 4.4 out of 5 stars
1.4K reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Applied Plotting, Charting & Data Representation in Python
Skills you'll gain: Matplotlib, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package)
4.5
Rating, 4.5 out of 5 stars
6.3K reviews
Intermediate · Course · 1 - 4 Weeks