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

Arizona State University
Factorial and Fractional Factorial Designs
Skills you'll gain: Experimentation, Research Design, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Variance Analysis, Data Analysis
4.8
Rating, 4.8 out of 5 stars
76 reviews
Intermediate · Course · 1 - 4 Weeks
University of Minnesota
Introduction to Predictive Modeling
Skills you'll gain: Time Series Analysis and Forecasting, Predictive Modeling, Regression Analysis, Microsoft Excel, Forecasting, Pivot Tables And Charts, Data Transformation, Trend Analysis, Data Cleansing, Statistical Methods, Performance Metric
4.8
Rating, 4.8 out of 5 stars
134 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free
University of London
Doing Economics: Measuring Climate Change
Skills you'll gain: Microsoft Excel, Environmental Policy, Data Analysis, Data Visualization, Descriptive Statistics, Correlation Analysis, Policy Analysis, Environmental Issue, Scatter Plots, Environmental Science, Economics, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
51 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Getting Started with Rstudio
Skills you'll gain: Interactive Data Visualization, Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting
4.6
Rating, 4.6 out of 5 stars
141 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Colorado Boulder
Integral Calculus and Numerical Analysis for Data Science
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Derivatives
4.6
Rating, 4.6 out of 5 stars
95 reviews
Intermediate · Course · 1 - 4 Weeks
Erasmus University Rotterdam
Excel Modeling for Professionals: Best Practices & Pitfalls
Skills you'll gain: Microsoft Excel, Excel Formulas, Verification And Validation, Financial Modeling, Project Documentation, Business Modeling, Spreadsheet Software, Product Testing, Data Validation, Document Management, Data Integrity, Data Management, Organizational Skills
4.5
Rating, 4.5 out of 5 stars
34 reviews
Intermediate · Course · 1 - 4 Weeks
University of California San Diego
Molecular Evolution (Bioinformatics IV)
Skills you'll gain: Bioinformatics, Statistical Analysis, Molecular Biology, Graph Theory, Taxonomy, Tree Maps, Algorithms
4.5
Rating, 4.5 out of 5 stars
79 reviews
Intermediate · Course · 1 - 3 Months
IBM
AI Workflow: Data Analysis and Hypothesis Testing
Skills you'll gain: Exploratory Data Analysis, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation
4.3
Rating, 4.3 out of 5 stars
123 reviews
Advanced · Course · 1 - 4 Weeks
Imperial College London
TensorFlow 2 for Deep Learning
Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction
4.8
Rating, 4.8 out of 5 stars
709 reviews
Intermediate · Specialization · 3 - 6 Months
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
Icahn School of Medicine at Mount Sinai
Dynamical Modeling Methods for Systems Biology
Skills you'll gain: Matlab, Mathematical Modeling, Differential Equations, Computational Logic, Applied Mathematics, Molecular Biology, Simulations, Statistical Modeling, Biochemistry, Biology, Probability, Electrical Systems
4.7
Rating, 4.7 out of 5 stars
220 reviews
Mixed · 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