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

필터링 기준

"statistical inference"에 대한 215개의 결과

University of Illinois at Urbana-Champaign
Inferential and Predictive Statistics for Business
획득할 기술: Hypothesis, Experiment, Business Analysis, Data Analysis, Inference, Econometrics, Probability & Statistics, Predictive Analytics, Regression Analysis, Analytics, Regression, Statistical Hypothesis Testing, Statistical Inference, General Statistics, Hypothesis Testing, Statistical Analysis
4.8
(819개의 검토)
Mixed · Course · 1-3 Months
Duke University
Data Analysis with R
획득할 기술: Bayesian Statistics, Business Analysis, Data Analysis, Data Mining, Data Visualization, Econometrics, Experiment, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Mathematics, Plot (Graphics), Probability & Statistics, Probability Distribution, R Programming, Regression, Statistical Analysis, Statistical Programming, Statistical Tests
4.7
(6.6k개의 검토)
Beginner · Specialization · 3-6 Months
Johns Hopkins University
Data Science: Statistics and Machine Learning
획득할 기술: Algorithms, Applied Machine Learning, Business Analysis, Data Analysis, Data Visualization, Econometrics, General Statistics, Interactive Data Visualization, Interactivity, Machine Learning, Machine Learning Algorithms, Natural Language, Natural Language Processing, Plot (Graphics), Probability, Probability & Statistics, Probability Distribution, R Programming, Regression, Statistical Analysis, Statistical Programming, Statistical Tests, Theoretical Computer Science
4.4
(7k개의 검토)
Intermediate · Specialization · 3-6 Months
무료
University of Michigan
Fitting Statistical Models to Data with Python
획득할 기술: Supply Chain, Regression, Probability & Statistics, Machine Learning Algorithms, Data Analysis, Analysis, Bayesian Statistics, Business Analysis, Econometrics, Machine Learning, Correlation And Dependence, Modeling, Linearity, Statistical Analysis, Bayesian, Logistic Regression, General Statistics
4.4
(608개의 검토)
Intermediate · Course · 1-4 Weeks
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statistical inference과(와) 관련된 검색

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요약하자면, 여기에 가장 인기 있는 statistical inference 강좌 10개가 있습니다.

Inferential and Predictive Statistics for Business: University of Illinois at Urbana-Champaign
Data Science Graduate Certificate: University of Colorado Boulder
Data Analysis with R: Duke University
Data Science: Statistics and Machine Learning: Johns Hopkins University
Population Health: Responsible Data Analysis: Universiteit Leiden
Data Modeling and Regression Analysis in Business: University of Illinois at Urbana-Champaign
Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
Data Science in Real Life: Johns Hopkins University
Fitting Statistical Models to Data with Python: University of Michigan
Using probability distributions for real world problems in R: Coursera Project Network

Probability And Statistics에서 학습할 수 있는 스킬

Statistical Inference에 대한 자주 묻는 질문

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.‎