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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Statistical Inference

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''statistical inference'的 481 個結果

Johns Hopkins University
Data Science: Statistics and Machine Learning
您將獲得的技能： R Programming, Statistical Programming, General Statistics, Statistical Analysis, Data Analysis, Machine Learning, Probability & Statistics, Statistical Tests, Data Science, Machine Learning Software, Basic Descriptive Statistics, Bayesian Statistics, Correlation And Dependence, Econometrics, Estimation, Linear Algebra, Regression, Exploratory Data Analysis, Theoretical Computer Science, Data Visualization, Interactive Data Visualization, Natural Language Processing, Probability Distribution, Plot (Graphics), Machine Learning Algorithms, Algorithms, Applied Machine Learning, Business Analysis
4.4
（7k 條評論）
Intermediate · Specialization · 3-6 Months
Duke University
Data Analysis with R
您將獲得的技能： Probability & Statistics, General Statistics, Data Analysis, Statistical Analysis, Regression, R Programming, Statistical Programming, Statistical Tests, Bayesian Statistics, Econometrics, Business Analysis, Data Science, Probability Distribution, Mathematics, Correlation And Dependence, Experiment, Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Basic Descriptive Statistics, Data Mining, Plot (Graphics), Statistical Visualization, Data Analysis Software, Data Visualization
4.7
（6.9k 條評論）
Beginner · Specialization · 3-6 Months
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免費
Eindhoven University of Technology
Improving your statistical inferences
您將獲得的技能： Probability & Statistics, Statistical Tests, General Statistics, R Programming, Statistical Programming, Bayesian Statistics, Data Analysis, Probability Distribution, Statistical Analysis, Bayesian Network, Business Analysis, Experiment, Machine Learning
4.9
（750 條評論）
Intermediate · Course · 1-3 Months
University of Colorado Boulder
Data Science Graduate Certificate
您將獲得的技能： Probability & Statistics, General Statistics, Regression, Machine Learning, Data Analysis, Statistical Tests, Theoretical Computer Science, Probability Distribution, Machine Learning Algorithms, Data Management, Statistical Analysis, Statistical Machine Learning, Business Analysis, Mathematics, Data Mining, Deep Learning, Python Programming, Statistical Programming, Artificial Neural Networks, Applied Machine Learning, Data Warehousing, Correlation And Dependence, Econometrics, Experiment, Algorithms, Reinforcement Learning, Calculus, Estimation, Exploratory Data Analysis, Basic Descriptive Statistics, Differential Equations, Feature Engineering, Natural Language Processing, Spreadsheet Software, Communication, Data Science, Data Structures, Dimensionality Reduction, Linear Algebra, Marketing, R Programming, SQL
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Graduate Certificate · 6-12 Months
Johns Hopkins University
Data Science in Real Life
您將獲得的技能： Probability & Statistics, Experiment, Basic Descriptive Statistics, Computer Programming, Computer Programming Tools, Data Analysis, Exploratory Data Analysis, General Statistics, Research and Design, Statistical Tests, Application Development, Communication, Econometrics, Forecasting, Software Engineering, Software Engineering Tools, Writing
4.4
（2.3k 條評論）
Mixed · Course · 1-4 Weeks
University of Michigan
Fitting Statistical Models to Data with Python
您將獲得的技能： General Statistics, Probability & Statistics, Regression, Business Analysis, Data Analysis, Econometrics, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Bayesian Statistics, Correlation And Dependence, Data Analysis Software, Estimation, Experiment, Python Programming
4.4
（636 條評論）
Intermediate · Course · 1-4 Weeks

與 statistical inference 相關的搜索

statistical inference for estimation in data science

statistical inference and hypothesis testing in data science applications

improving your statistical inferences

data science foundations: statistical inference

inferential statistical analysis with python

inferential statistics

descriptive and inferential statistics in r

inferential and predictive statistics for business

總之，這是我們最受歡迎的 statistical inference 門課程中的 10 門

Statistical Inference: Johns Hopkins University
Data Science Foundations: Statistical Inference: University of Colorado Boulder
Data Science: Statistics and Machine Learning: Johns Hopkins University
Data Analysis with R: Duke University
Statistical Inference for Estimation in Data Science: University of Colorado Boulder
Inferential Statistics: Duke University
Inferenzstatistik: Duke University
Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
Improving your statistical inferences: Eindhoven University of Technology
Data Science Graduate Certificate: University of Colorado Boulder

您可以在 Probability And Statistics 中學到的技能

關於 Statistical Inference 的常見問題

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.‎