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
Rice University
Business Finance and Data Analysis Fundamentals
Skills you'll gain: Capital Budgeting, Cash Flows, Financial Statements, Microsoft Excel, Descriptive Statistics, Financial Accounting, Business Analytics, Box Plots, Probability Distribution, Finance, Financial Analysis, Data Visualization, Probability, Statistics, Business Valuation, Financial Statement Analysis, Business Mathematics, Accounting, Return On Investment, General Accounting
4.8
Rating, 4.8 out of 5 stars
2.8K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Simple Regression Analysis in Public Health
Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Statistical Analysis, Epidemiology, Quantitative Research, Public Health, Data Analysis, Probability & Statistics, Statistical Inference
4.7
Rating, 4.7 out of 5 stars
382 reviews
Beginner · Course · 1 - 3 Months
SAS
Statistical Thinking for Industrial Problem Solving, presented by JMP
Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Statistical Visualization
4.9
Rating, 4.9 out of 5 stars
92 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
PwC
Problem Solving with Excel
Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Analysis Expressions (DAX), Data Validation, Complex Problem Solving, Statistical Analysis, Financial Analysis
4.7
Rating, 4.7 out of 5 stars
5.4K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Pennsylvania
Introduction to Spreadsheets and Models
Skills you'll gain: Regression Analysis, Spreadsheet Software, Google Sheets, Financial Modeling, Microsoft Excel, Data Modeling, Forecasting, Risk Analysis, Probability & Statistics, Business Modeling, Statistical Analysis, Simulation and Simulation Software, Process Improvement and Optimization
4.2
Rating, 4.2 out of 5 stars
3.8K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Duke University
Java Programming: Solving Problems with Software
Skills you'll gain: Debugging, Java, Algorithms, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Object Oriented Programming (OOP), Data Analysis, Software Testing
4.6
Rating, 4.6 out of 5 stars
8K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Neuroscience and Neuroimaging
Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Experimentation, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Research Design, Scientific Visualization, Time Series Analysis and Forecasting, Matlab
4.7
Rating, 4.7 out of 5 stars
3.3K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Biostatistics in Public Health
Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Statistical Inference, Data Literacy, Probability Distribution, Scientific Methods, Data Analysis, Public Health, Probability & Statistics, Advanced Analytics, Statistical Modeling
4.8
Rating, 4.8 out of 5 stars
2.3K reviews
Beginner · Specialization · 3 - 6 Months
Universidad Nacional Autónoma de México
Introducción a Data Science: Programación Estadística con R
Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Software, Data Science, Data Visualization, Graphing, Programming Principles, Data Import/Export, Scripting, Data Structures, Software Installation, Package and Software Management
4.7
Rating, 4.7 out of 5 stars
8.5K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Multiple Regression Analysis in Public Health
Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Public Health, Probability & Statistics, Statistical Analysis, Statistical Inference, Advanced Analytics, Statistical Modeling, Predictive Modeling, Data Analysis
4.7
Rating, 4.7 out of 5 stars
309 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Macquarie University
Excel Skills for Business: Advanced
Skills you'll gain: Dashboard, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Data Cleansing, Finance, Business Intelligence Software, Data Validation, Financial Modeling, Data Visualization, Loans, Depreciation, Automation
4.7
Rating, 4.7 out of 5 stars
6K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
Applied Data Science Capstone
Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection
4.7
Rating, 4.7 out of 5 stars
7.3K reviews
Intermediate · Course · 1 - 3 Months