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.

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Johns Hopkins University
Public Health in Humanitarian Crises 1
您将获得的技能： Public Health, Probability & Statistics, Security Engineering, Entrepreneurship, Leadership and Management, Crisis, Human Computer Interaction, Epidemiology, Strategy and Operations, Marketing, Finance, Strategy, Sales, Risk Management, Humanitarian, Nutrition, Human Factors (Security)
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Beginner · Course · 1-3 Months
Tsinghua University
Just Reading and Writing English 1
您将获得的技能： Resilience, Marketing, Entrepreneurship, Business Psychology, Emotional Intelligence, Culture, Strategy and Operations, Bioinformatics, Negotiation, Human Learning, Software Engineering, Probability & Statistics, Computer Programming, Research and Design, Leadership and Management, Critical Thinking, Other Programming Languages, Application Development, Communication, Business Analysis, Sales
4.5
（91 条评论）
Intermediate · Course · 1-3 Months
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总之，这是我们最受欢迎的 statistical inference 门课程中的 10 门

Unraveling the Cycling City: University of Amsterdam
Public Health in Humanitarian Crises 1: Johns Hopkins University
Wind resources for renewable energies: École Polytechnique
Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
Flight Mechanics - Anemobarometry: ISAE-SUPAERO
Just Reading and Writing English 1: Tsinghua University
Finding Mutations in DNA and Proteins (Bioinformatics VI): University of California San Diego
Improving Immunity Based on Traditional Eastern Exercises: Shanghai Jiao Tong University
Julia for Beginners in Data Science: Coursera Project Network
Creating a Budget in Libre Calc: Coursera Project Network

您可以在 Probability And Statistics 中学到的技能

关于 Statistical Inference 的常见问题

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.‎