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

SAS
SAS Advanced Programmer
Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Relational Databases, Program Development, Data Presentation, Scripting, Perl (Programming Language), Data Processing, Automation, Statistical Programming, Data Integration, Stored Procedure, Data Manipulation, Data Analysis, Data Transformation, Debugging
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
399 reviews
Intermediate · Professional Certificate · 3 - 6 Months
New York Institute of Finance
Market Risk Management: Frameworks & Strategies
Skills you'll gain: Risk Management, Risk Modeling, Financial Market, Derivatives, Investment Management, Portfolio Management, Risk Analysis, Market Data, Equities, Estimation, Financial Modeling, Statistical Methods, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
165 reviews
Beginner · Course · 1 - 3 Months
Imperial College London
Introduction to Digital health
Skills you'll gain: Health Care, Health Systems, Electronic Medical Record, Interoperability, Epidemiology, Health Information Management and Medical Records, Healthcare Industry Knowledge, Big Data, Emerging Technologies, Infectious Diseases, Digital Transformation, Machine Learning, Analytics, Health Care Administration, Data Sharing, Artificial Intelligence, Telecommuting
4.5
Rating, 4.5 out of 5 stars
228 reviews
Intermediate · Course · 1 - 4 Weeks
Universidad de los Andes
Introducción a la ciencia de datos aplicada
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Statistical Modeling, Design Thinking, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
395 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Compare Stock Returns with Google Sheets
Skills you'll gain: Risk Analysis, Google Sheets, Financial Analysis, Risk Management, Quantitative Research, Statistical Analysis, Statistics, Securities (Finance), Return On Investment, Probability & Statistics, Variance Analysis
4.3
Rating, 4.3 out of 5 stars
661 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
Cluster Analysis in Data Mining
Skills you'll gain: Unsupervised Learning, Data Mining, Machine Learning Algorithms, Data Analysis, Dimensionality Reduction, Statistical Methods, Big Data, Exploratory Data Analysis, Algorithms, Verification And Validation
4.5
Rating, 4.5 out of 5 stars
408 reviews
Mixed · Course · 1 - 3 Months
University of Colorado Boulder
Fundamentals of Macroscopic and Microscopic Thermodynamics
Skills you'll gain: Mechanical Engineering, Physics, Probability Distribution, Statistics, Physical Science, Engineering Analysis, Science and Research
4.3
Rating, 4.3 out of 5 stars
262 reviews
Advanced · Course · 1 - 4 Weeks
Status: Free
University of Leeds
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, R Programming, Box Plots, Data Visualization Software, Histogram, Statistical Analysis, Probability, Probability Distribution, Simulations
4.6
Rating, 4.6 out of 5 stars
9 reviews
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Operations Management: Quality and Supply Chain
Skills you'll gain: Process Improvement, Supply Chain Management, Operations Management, Supply Chain Planning, Statistical Process Controls, Transportation, Supply Chain, and Logistics, Business Process Improvement, Continuous Improvement Process, Emerging Technologies, Inventory Management System, Quality Management, Vendor Contracts, Corporate Sustainability
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months
University of California, Irvine
Data Science Fundamentals
Skills you'll gain: Analytical Skills, Data Ethics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Analysis, Predictive Analytics, Data Analysis, Classification And Regression Tree (CART), Regression Analysis, Data Mining, Statistical Analysis, Data Science, Social Media, Data Modeling, Text Mining, Anomaly Detection, Decision Tree Learning, Statistical Modeling, Cloud Computing
4.2
Rating, 4.2 out of 5 stars
238 reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Bioconductor for Genomic Data Science
Skills you'll gain: Bioinformatics, R Programming, Statistical Programming, Data Analysis, Data Manipulation, Data Structures, Software Installation, Data Access, Object Oriented Programming (OOP)
3.8
Rating, 3.8 out of 5 stars
382 reviews
Mixed · Course · 1 - 4 Weeks
Emory University
Foundations of Marketing Analytics
Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Consumer Behaviour, Descriptive Statistics, Microsoft Excel, Social Media Marketing, Customer Insights, Exploratory Data Analysis, Probability, Statistical Analysis, Marketing Effectiveness, Target Market, Social Media, Time Series Analysis and Forecasting, Predictive Modeling, Statistics
4.3
Rating, 4.3 out of 5 stars
515 reviews
Intermediate · Specialization · 3 - 6 Months