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

Wesleyan University
Data Management and Visualization
Skills you'll gain: Descriptive Statistics, Data Manipulation, Data Presentation, Data Management, Data Literacy, Graphing, SAS (Software), Peer Review, Data Analysis, Statistics, Research Reports, Exploratory Data Analysis, Python Programming
4.4
Rating, 4.4 out of 5 stars
937 reviews
Mixed · Course · 1 - 3 Months
MathWorks
Exploratory Data Analysis with MATLAB
Skills you'll gain: Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Science, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting
4.8
Rating, 4.8 out of 5 stars
813 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Clinical Trials Analysis, Monitoring, and Presentation
Skills you'll gain: Sample Size Determination, Clinical Trials, Clinical Research, Statistical Reporting, Biostatistics, Statistical Analysis, Advanced Analytics, Data Analysis, Statistical Methods, Patient Safety, Bayesian Statistics, Data Quality, Data Presentation
4.7
Rating, 4.7 out of 5 stars
66 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Using probability distributions for real world problems in R
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability
4.8
Rating, 4.8 out of 5 stars
29 reviews
Beginner · Guided Project · Less Than 2 Hours
Microsoft
Create Machine Learning Models in Microsoft Azure
Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Machine Learning, Supervised Learning, Tensorflow, NumPy
4.5
Rating, 4.5 out of 5 stars
292 reviews
Intermediate · Course · 1 - 4 Weeks
SAS
SAS Advanced Programmer
Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Database Management Systems, Program Development, Data-Driven Decision-Making, Data Presentation, Scripting, Perl (Programming Language), Data Processing, Automation, Data Integration, Statistical Programming, Data Manipulation, Data Structures, Data Transformation, Debugging, Data Validation
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
399 reviews
Intermediate · Professional Certificate · 3 - 6 Months
Columbia University
Optimization Methods in Asset Management
Skills you'll gain: Portfolio Management, Investment Management, Asset Management, Market Liquidity, Risk Management, Financial Market, Financial Modeling, Financial Trading, Equities, Statistical Methods, Risk Analysis, Securities Trading, Market Dynamics, Financial Analysis, Statistical Analysis
4.7
Rating, 4.7 out of 5 stars
43 reviews
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Financial Analysis of Organizations
Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Forecasting, Financial Accounting, Income Statement, Balance Sheet, Financial Analysis, Revenue Forecasting, Cash Flow Forecasting, Financial Data, Financial Modeling, Cash Flows, Equities, Business Valuation, Financial Planning, Capital Expenditure
4.5
Rating, 4.5 out of 5 stars
116 reviews
Beginner · Course · 1 - 4 Weeks
Tecnológico de Monterrey
Introducción a Lean Six Sigma
Skills you'll gain: Lean Six Sigma, Six Sigma Methodology, Lean Methodologies, Statistical Process Controls, Quality Improvement, Process Improvement, Process Analysis, Continuous Improvement Process, Customer Analysis, Waste Minimization, Quality Management, Return On Investment, Process Mapping, Project Management, Cost Benefit Analysis
4.8
Rating, 4.8 out of 5 stars
594 reviews
Beginner · Course · 1 - 4 Weeks
Imperial College London
Study Designs in Epidemiology
Skills you'll gain: Clinical Trials, Research Design, Epidemiology, Clinical Research, Research Methodologies, Research, Statistical Analysis, Sample Size Determination, Data Analysis
4.8
Rating, 4.8 out of 5 stars
602 reviews
Intermediate · Course · 1 - 4 Weeks
Columbia University
The Construction Industry: The Way Forward
Skills you'll gain: Construction, Business Transformation, Innovation, Architecture and Construction, Construction Management, Workforce Development, Civil Engineering, Emerging Technologies, Digital Transformation, Thought Leadership, Building Information Modeling, Automation, Data-Driven Decision-Making, Sustainability Reporting, Machine Learning
4.8
Rating, 4.8 out of 5 stars
360 reviews
Beginner · Course · 1 - 3 Months
University of Colorado System
Introduction to Clinical Data Science
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Clinical Research, R Programming, Google Cloud Platform, Data Ethics, Data Science, Health Informatics, Data Processing, Electronic Medical Record, Information Privacy, Health Care Procedure and Regulation, Data Manipulation, SQL, Data Access
4.5
Rating, 4.5 out of 5 stars
412 reviews
Intermediate · Course · 1 - 4 Weeks