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

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
165 reviews
Intermediate · Course · 1 - 3 Months
Imperial College London
Validity and Bias in Epidemiology
Skills you'll gain: Research Design, Epidemiology, Data Collection, Biostatistics, Research Methodologies, Research, Public Health, Correlation Analysis, Statistical Analysis
4.9
Rating, 4.9 out of 5 stars
243 reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Assisting Public Sector Decision Makers With Policy Analysis
Skills you'll gain: Statistical Analysis, Program Evaluation, Policy Analysis, Data Analysis, Statistical Methods, Public Policies, Statistical Hypothesis Testing, Policy Development, Analytical Skills, Forecasting, R Programming, Data-Driven Decision-Making, Research Design, Time Series Analysis and Forecasting
4.8
Rating, 4.8 out of 5 stars
25 reviews
Intermediate · Course · 1 - 3 Months
MathWorks
Predictive Modeling and Machine Learning with MATLAB
Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Processing, Sampling (Statistics)
4.8
Rating, 4.8 out of 5 stars
118 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Fundamentals of Data Analytics in the Public Sector with R
Skills you'll gain: Data Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Public Policies, R Programming, Statistical Programming, Data Transformation, Data Cleansing, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
40 reviews
Intermediate · Course · 1 - 3 Months
Genentech
Hands On Clinical Reporting Using R
Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Pharmaceuticals, Data Modeling, R Programming, Technical Communication, Data Analysis Software, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
9 reviews
Intermediate · Course · 1 - 3 Months
Olay
Quality Control and Regulatory in Cosmetic Science
Skills you'll gain: Quality Control, Quality Assurance, Product Quality (QA/QC), Statistical Process Controls, Good Manufacturing Practices, Quality Management, Quality Management Systems, Safety Assurance, Regulatory Affairs, Regulatory Requirements, Chemistry, Regulatory Compliance, Product Testing, Standard Operating Procedure
4.6
Rating, 4.6 out of 5 stars
50 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Advanced Concepts in Time Value of Money (TVM)
Skills you'll gain: Loans, Finance, Mortgage Loans, Financial Modeling, Financial Management, Financial Planning, Microsoft Excel, Financial Analysis, Investment Management, Complex Problem Solving, Spreadsheet Software
4.7
Rating, 4.7 out of 5 stars
87 reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
Edureka
Python and Statistics Foundations
Skills you'll gain: Matplotlib, Probability & Statistics, Plotly, Statistical Analysis, Statistical Methods, Data Visualization Software, Statistical Hypothesis Testing, Data Manipulation, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Exploratory Data Analysis, Probability, Python Programming
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Accounting Data Analytics with Python
Skills you'll gain: Jupyter, Matplotlib, Pandas (Python Package), Data Manipulation, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Programming Principles, Business Analysis, Databases, Accounting, Relational Databases, Data Modeling, Python Programming, Descriptive Statistics, Statistical Machine Learning, Regression Analysis
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
106 reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
Logistic Regression and Prediction for Health Data
Skills you'll gain: Statistical Inference, Predictive Analytics, R Programming, Probability & Statistics, Statistical Modeling, Classification And Regression Tree (CART), Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Risk Analysis, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks
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
53 reviews
Intermediate · Course · 1 - 4 Weeks