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- Statistical Inference

- Statistical Inference: Johns Hopkins University
- Data Science Foundations: Statistical Inference: University of Colorado Boulder
- Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
- Improving your statistical inferences: Eindhoven University of Technology
- Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
- Introduction to Statistics: Stanford University
- Inferential Statistical Analysis with Python: University of Michigan
- Inferential Statistics: University of Amsterdam
- Statistical Inference for Estimation in Data Science: University of Colorado Boulder
- Modern Regression Analysis in R: University of Colorado Boulder

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.

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.

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.

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.

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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