Probabilidad y Estadística

Los cursos de estadística y probabilidad enseñan habilidades para comprender qué datos son significativos, incluidos la optimización, la inferencia, los ensayos y otros métodos para analizar patrones en los datos y usarlos para predecir, entender y mejorar los resultados.

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Learn SQL Basics for Data Science

Learn SQL Basics for Data Science

University of California, Davis
Especialización
Calificado 4.1 de cinco estrellas.
Statistics with R

Statistics with R

Duke University
Especialización
Calificado 4.5 de cinco estrellas.
Methods and Statistics in Social Sciences

Methods and Statistics in Social Sciences

University of Amsterdam
Especialización
Calificado 4.5 de cinco estrellas.
Business Statistics and Analysis

Business Statistics and Analysis

Rice University
Especialización
Calificado 4.8 de cinco estrellas.
Statistics with Python

Statistics with Python

University of Michigan
Especialización
Calificado 4.5 de cinco estrellas.
Biostatistics in Public Health

Biostatistics in Public Health

Johns Hopkins University
Especialización
Calificado 4.7 de cinco estrellas.
Statistical Analysis with R for Public Health

Statistical Analysis with R for Public Health

Imperial College London
Especialización
Calificado 4.7 de cinco estrellas.
Design of Experiments

Design of Experiments

Arizona State University
Especialización
Calificado 4.7 de cinco estrellas.
Анализ данных

Анализ данных

Novosibirsk State University
Especialización
Calificado 4.6 de cinco estrellas.
Просто о статистике (с использованием R)

Просто о статистике (с использованием R)

Saint Petersburg State University
Especialización
Calificado 4.5 de cinco estrellas.

    Preguntas frecuentes sobre Probabilidad y Estadística

  • Probability is the study of the likelihood an event will happen, and statistics is the analysis of large datasets, usually with the goal of either usefully describing this data or inferring conclusions about a larger dataset based on a representative sample. These two branches of mathematics can be considered two sides of a coin: statistics help you to understand the past, and probability helps you use that knowledge to predict the future!

    Statistics and probability are essential tools for data science. These skills enable you to determine whether your data collection methods are sound, derive relevant insights from massive datasets, build analytic models that produce usable results, and much more. Important concepts and skills in the data science context include sampling distributions, statistical significance, hypothesis testing, and regression analysis.