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

SkillUp EdTech
ASQ-Certified Six Sigma Green Belt (CSSGB) Exam Prep
Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Lean Methodologies, Process Capability, Statistical Analysis, Data Analysis, Continuous Improvement Process, Project Management, Project Planning, Statistics, Work Breakdown Structure, Lean Six Sigma, Operational Excellence, Process Analysis, Statistical Methods, Data Collection, Process Improvement, Stakeholder Management, Quality Management
4.4
Rating, 4.4 out of 5 stars
11 reviews
Intermediate · Specialization · 3 - 6 Months
Howard University
Business Modeling Tools
Skills you'll gain: Regression Analysis, Data-Driven Decision-Making, Business Modeling, Business Analytics, Statistical Analysis, Spreadsheet Software, Forecasting, Data Analysis, Microsoft Excel, Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Diabetes Prediction With Pyspark MLLIB
Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning, Google Cloud Platform
4.6
Rating, 4.6 out of 5 stars
22 reviews
Intermediate · Guided Project · Less Than 2 Hours
Imperial College London
Using Data for Healthcare Improvement
Skills you'll gain: Qualitative Research, Continuous Quality Improvement (CQI), Quantitative Research, Statistical Visualization, Data Collection, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Statistical Analysis, Time Series Analysis and Forecasting
4.2
Rating, 4.2 out of 5 stars
9 reviews
Beginner · Course · 1 - 4 Weeks
Emory University
Marketing Analytics Capstone Project
Skills you'll gain: Marketing Analytics, Exploratory Data Analysis, Predictive Modeling, Analytical Skills, Business Analytics, Regression Analysis, Statistical Modeling, Data Analysis, Data Validation, Data Manipulation, Data Visualization
4.5
Rating, 4.5 out of 5 stars
29 reviews
Mixed · Course · 1 - 3 Months
Sungkyunkwan University
The Fundamental of Data-Driven Investment
Skills you'll gain: Portfolio Management, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Financial Data, Statistical Programming, Risk Management, Equities, Forecasting, Regression Analysis, Data Manipulation
4.4
Rating, 4.4 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
Meta
Prepare for the Meta Marketing Science Certification Exam
Skills you'll gain: Marketing Analytics, Analytics, Marketing, Data Analysis, Resource Utilization, Marketing Effectiveness, Statistical Methods, Verification And Validation, Digital Marketing
Intermediate · Course · 1 - 4 Weeks
Northeastern University
Foundations of Statistical Learning & Algorithms
Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Probability & Statistics, Data Validation, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Advanced Mathematics, Verification And Validation, Dimensionality Reduction
Mixed · Course · 1 - 4 Weeks
SkillUp EdTech
Leadership and Team Management
Skills you'll gain: Team Motivation, Team Management, Benchmarking, Performance Measurement, Change Management, Organizational Change, Six Sigma Methodology, Team Building, Lean Six Sigma, Collaboration, Organizational Structure, Leadership, Key Performance Indicators (KPIs), Delegation Skills, Conflict Management, Empowerment
4.8
Rating, 4.8 out of 5 stars
10 reviews
Intermediate · Course · 1 - 4 Weeks
University of Houston
Value-Based Care: Organizational Competencies
Skills you'll gain: Organizational Change, Care Coordination, Health Care Administration, Health Care, Health Systems, Business Transformation, Change Management, Governance, Payment Systems, Performance Measurement, Operational Efficiency, Financial Modeling, Contract Negotiation, Finance
4.7
Rating, 4.7 out of 5 stars
19 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Google Cloud
Introduction to Generative AI - Italiano
Skills you'll gain: Generative AI, Application Development, Google Cloud Platform, Artificial Intelligence, Machine Learning
4.5
Rating, 4.5 out of 5 stars
15 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Análisis exploratorio de datos con Python y Pandas
Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Visualization, Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Manipulation, Data Cleansing, Descriptive Statistics, Python Programming
4.3
Rating, 4.3 out of 5 stars
14 reviews
Beginner · Guided Project · Less Than 2 Hours