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

Status: Free Trial
University of Colorado Boulder
Statistics and Data Analysis with Excel, Part 2
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Probability Distribution
5
Rating, 5 out of 5 stars
7 reviews
Intermediate · Course · 1 - 3 Months
Erasmus University Rotterdam
Studying Cities: Social Science Methods for Urban Research
Skills you'll gain: Surveys, Research, Research Methodologies, Data Collection, Research Design, Data Analysis, Qualitative Research, Statistical Analysis, Social Sciences, Experimentation, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
228 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
What are the Chances? Probability and Uncertainty in Statistics
Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics
4.6
Rating, 4.6 out of 5 stars
17 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Principles of fMRI 2
Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Analysis, Image Analysis, Statistical Analysis, Experimentation, Network Analysis, Research Design, Regression Analysis, Psychology, Time Series Analysis and Forecasting, Matlab, Mental and Behavioral Health, Neurology, Statistical Modeling, Statistical Methods, Research
4.7
Rating, 4.7 out of 5 stars
246 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
IBM
SQL for Data Science with R
Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, R Programming, Data Manipulation, Data Modeling, Data Access
4.3
Rating, 4.3 out of 5 stars
176 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Gestión del análisis de datos
Skills you'll gain: Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Data Management, Management Reporting, Analytical Skills, Statistical Inference, Team Management, Statistical Modeling, Data Presentation, Team Leadership, Statistical Methods, Communication
4.6
Rating, 4.6 out of 5 stars
93 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
University of Illinois Urbana-Champaign
Inferential and Predictive Statistics for Business
Skills you'll gain: Statistical Inference, Business Analytics, Analytics, Statistical Analysis, Statistical Hypothesis Testing, Regression Analysis, Data-Driven Decision-Making, Business Mathematics, Statistical Methods, Probability & Statistics, Statistical Modeling, Predictive Analytics, Microsoft Excel
4.8
Rating, 4.8 out of 5 stars
862 reviews
Intermediate · Course · 1 - 3 Months
Universidad Nacional Autónoma de México
Estadística y probabilidad: principios de Inferencia
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics
2.9
Rating, 2.9 out of 5 stars
15 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Macquarie University
Management and financial accounting: Know your numbers 1
Skills you'll gain: Governance, Management Accounting, Budgeting, Financial Modeling, Accounting, Financial Analysis, Forecasting, Financial Management, Financial Accounting, Financial Statements, Business Management, Bookkeeping, Organizational Strategy, Strategic Decision-Making, Cash Flows
4.7
Rating, 4.7 out of 5 stars
315 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Project Valuation and the Capital Budgeting Process
Skills you'll gain: Capital Budgeting, Project Risk Management, Risk Analysis, Risk Mitigation, Risk Management, Financial Analysis, Project Finance, Business Valuation, Depreciation, Cash Flows, Financial Modeling, Spreadsheet Software, Microsoft Excel, Corporate Tax
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
170 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
American Psychological Association
Methods for Quantitative Research in Psychology
Skills you'll gain: Quantitative Research, Scientific Methods, Research Design, Research, General Science and Research, Correlation Analysis, Data Collection, Social Sciences, Experimentation, Data Analysis, Psychology, Sampling (Statistics)
4.8
Rating, 4.8 out of 5 stars
161 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
DeepLearning.AI
Data Modeling, Transformation, and Serving
Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Apache Hadoop, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark, Data Manipulation, Star Schema, Applied Machine Learning, Real Time Data, Machine Learning, Natural Language Processing
4.6
Rating, 4.6 out of 5 stars
71 reviews
Intermediate · Course · 1 - 4 Weeks