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

Universitat Autònoma de Barcelona
Detección de objetos
Skills you'll gain: Computer Vision, Image Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Histogram
4.4
Rating, 4.4 out of 5 stars
352 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Advanced Understanding of Stocks and Bonds
Skills you'll gain: Equities, Investments, Financial Analysis, Financial Market, Corporate Finance, Business Valuation, Financial Modeling, Return On Investment, Risk Analysis, Growth Strategies
4.6
Rating, 4.6 out of 5 stars
54 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Illinois Urbana-Champaign
Tools for Exploratory Data Analysis in Business
Skills you'll gain: Data Storytelling, Extract, Transform, Load, Business Analytics, Business Intelligence, Exploratory Data Analysis, Data Quality, Analytics, Data Visualization Software, Data Analysis, Power BI, Alteryx, Descriptive Statistics, Statistical Methods, Data Transformation, R Programming
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
50 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Wesleyan University
Regression Modeling in Practice
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, SAS (Software), Scatter Plots, Statistical Programming, Predictive Modeling, Statistical Hypothesis Testing, Plot (Graphics)
4.4
Rating, 4.4 out of 5 stars
274 reviews
Mixed · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
University of Michigan
Statistics with Python Using NumPy, Pandas, and SciPy
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Probability & Statistics, NumPy, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Histogram, Scatter Plots, Regression Analysis, Pandas (Python Package), Linear Algebra
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Yonsei University
Big Data Emerging Technologies
Skills you'll gain: Apache Spark, Big Data, SPSS, Analytics, Real Time Data, Apache Hadoop, Data Processing, Business Analytics, Statistical Analysis, Data Analysis Software, Business Strategy, Market Share, Scalability, Machine Learning Algorithms
4.7
Rating, 4.7 out of 5 stars
302 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of London
Statistics for International Business
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Presentation, Statistics, Estimation, Probability, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Data Visualization, Data Analysis, Histogram, Graphing
3.8
Rating, 3.8 out of 5 stars
309 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Kennesaw State University
The Measure Phase for the 6 σ Black Belt
Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Process Capability, Lean Six Sigma, Data Collection, Sampling (Statistics), Probability Distribution, Process Analysis, Descriptive Statistics, Performance Measurement, Quality Improvement, Continuous Quality Improvement (CQI), Statistics, Probability, Systems Of Measurement, Statistical Analysis
4.3
Rating, 4.3 out of 5 stars
52 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
University of Amsterdam
Methods and Statistics in Social Science - Final Research Project
Skills you'll gain: Statistical Analysis, Research, Research Reports, Data Analysis, Research Design, Data Collection, Research Methodologies, Surveys, Qualitative Research, Experimentation, Descriptive Statistics, Survey Creation
4.4
Rating, 4.4 out of 5 stars
63 reviews
Beginner · Course · 1 - 3 Months
IBM
Introduction to the Threat Intelligence Lifecycle
Skills you'll gain: Cyber Threat Intelligence, Threat Management, Threat Detection, Data Cleansing, Data Management, Data Validation, Data Quality, Data Integrity, Technical Communication, Automation, Requirements Analysis, Machine Learning
4.7
Rating, 4.7 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Macquarie University
Business intelligence and data analytics: Generate insights
Skills you'll gain: SAS (Software), Business Analytics, Dashboard, Analytics, Data-Driven Decision-Making, Business Intelligence, Data Analysis, Trend Analysis, Forecasting, Histogram, Correlation Analysis, Ethical Standards And Conduct, Statistics, Predictive Modeling, Innovation, Sustainability Reporting
4.6
Rating, 4.6 out of 5 stars
450 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Duke University
MLOps Platforms: Amazon SageMaker and Azure ML
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization
3.6
Rating, 3.6 out of 5 stars
48 reviews
Advanced · Course · 1 - 3 Months