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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235 Ergebnisse für „statistical inference“

Duke University
Data Analysis with R
Kompetenzen, die Sie erwerben: Algebra, Bayesian Statistics, Data Analysis, Data Mining, Econometrics, Experiment, General Statistics, Inference, Linearity, Machine Learning, Machine Learning Algorithms, Mathematics, Probability, Probability & Statistics, Probability Distribution, R Programming, Statistical Inference, Statistical Programming
4.7
(6.5k Bewertungen)
Beginner · Specialization · 3+ Months
Stanford University
Probabilistic Graphical Models
Kompetenzen, die Sie erwerben: Advertising, Algebra, Algorithms, Bayesian Network, Bayesian Statistics, Behavioral Economics, Business Psychology, Communication, Computer Architecture, Computer Programming, Data Analysis, Decision Making, Distributed Computing Architecture, Entrepreneurship, Feature Engineering, General Statistics, Graph Theory, Leadership and Management, Machine Learning, Marketing, Mathematics, Modeling, Other Programming Languages, Probability, Probability & Statistics, Probability Distribution, Theoretical Computer Science
4.6
(1.5k Bewertungen)
Advanced · Specialization · 3+ Months
Kostenlos
University of Michigan
Inferential Statistical Analysis with Python
Kompetenzen, die Sie erwerben: Computer Programming, Experiment, Statistical Inference, Confidence, Hypothesis, General Statistics, Inference, Python Programming, Probability & Statistics, Statistical Programming, Data Analysis, Statistical Analysis, Statistical Tests, Statistical Hypothesis Testing, Hypothesis Testing, Business Analysis
4.6
(780 Bewertungen)
Intermediate · Course · 1-4 Weeks
Kostenlos

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Zusammenfassend sind hier 10 unserer beliebtesten statistical inference Kurse

Statistical Inference: Johns Hopkins University
Data Science Foundations: Statistical Inference: University of Colorado Boulder
Data Analysis with R: Duke University
Probabilistic Graphical Models: Stanford University
Statistical Inference for Estimation in Data Science: University of Colorado Boulder
Inferential Statistics: Duke University
Inferential and Predictive Statistics for Business: University of Illinois at Urbana-Champaign
Causal Inference: Columbia University
Inferential Statistical Analysis with Python: University of Michigan
Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder

Fähigkeiten, die Sie bei Probability And Statistics erlernen können

R-Programmierung (19)

Lineare Regression (12)

Statistische Analyse (12)

Regressionsanalyse (10)

Biostatistik (9)

Bayes (7)

Logistische Regression (7)

Wahrscheinlichkeitsverteilung (7)

Bayessche Statistik (6)

Medizinische Statistik (6)

Häufig gestellte Fragen zum Thema 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.‎
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.‎

Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.