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Cursos de Probabilidad y Estadística

Los cursos de probabilidad y estadística exploran conceptos matemáticos para analizar sucesos aleatorios e interpretar datos mediante modelos e inferencias. Utiliza herramientas como Python, R, Excel y Google Sheets para aplicar tus conocimientos teóricos en estadística.
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Probar DataCamp for Business

Recomendado para principiantes en Probabilidad y Estadística

Desarrolla tus habilidades en Probabilidad y Estadística con cursos interactivos, impartidos por expertos del mundo real

curso

Introducción a la estadística en R

IntermediateSkill Level
4 horas
3.3K
Mejora tus habilidades estadísticas y aprende a recopilar, analizar y sacar conclusiones precisas de los datos.

programa

Estadístico in R

52 horas
48
Un estadístico recopila y analiza datos y ayuda a las empresas a dar sentido a los datos cuantitativos, lo que incluye detectar tendencias y hacer predicciones.

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curso

Introducción a la estadística

BeginnerSkill Level
4 horas
5.5K
Aprende los fundamentos de estadística: medidas de centro y dispersión, distribuciones y pruebas de hipótesis.

curso

Introducción a la estadística en R

IntermediateSkill Level
4 horas
3.3K
Mejora tus habilidades estadísticas y aprende a recopilar, analizar y sacar conclusiones precisas de los datos.

curso

Introduction to Regression in R

IntermediateSkill Level
4 horas
2.7K
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

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Pruebas de hipótesis en Python

IntermediateSkill Level
4 horas
2.7K
Aprende cómo y cuándo usar pruebas de hipótesis comunes como t-tests, pruebas de proporción y chi-cuadrado en Python.

curso

Muestreo en Python

IntermediateSkill Level
4 horas
2.9K
Aprende a sacar conclusiones de datos limitados usando Python y estadísticas. Curso de muestreo aleatorio.

curso

Hypothesis Testing in R

IntermediateSkill Level
4 horas
1.5K
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

curso

Diseño experimental en Python

IntermediateSkill Level
4 horas
1.2K
Implementa diseños experimentales y realiza análisis estadísticos robustos para conclusiones precisas y válidas.

curso

Regresión intermedia en R

IntermediateSkill Level
4 horas
1.2K
Aprende a realizar regresión lineal y logística con múltiples variables explicativas.

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Foundations of Probability in R

BeginnerSkill Level
4 horas
880
In this course, youll learn about the concepts of random variables, distributions, and conditioning.

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Sampling in R

IntermediateSkill Level
4 horas
882
Master sampling to get more accurate statistics with less data.

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A/B Testing in Python

IntermediateSkill Level
4 horas
286
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

curso

Foundations of Inference in R

IntermediateSkill Level
4 horas
601
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

curso

Linear Algebra for Data Science in R

IntermediateSkill Level
4 horas
215
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

curso

Modeling with Data in the Tidyverse

IntermediateSkill Level
4 horas
541
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

curso

Bayesian Data Analysis in Python

IntermediateSkill Level
4 horas
308
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

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RNA-Seq with Bioconductor in R

IntermediateSkill Level
4 horas
201
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

curso

Time Series Analysis in R

IntermediateSkill Level
4 horas
297
Learn the core techniques necessary to extract meaningful insights from time series data.

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Experimental Design in R

IntermediateSkill Level
4 horas
298
In this course youll learn about basic experimental design, a crucial part of any data analysis.

curso

Introduction to Bioconductor in R

IntermediateSkill Level
4 horas
165
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

curso

Introduction to Linear Modeling in Python

IntermediateSkill Level
4 horas
358
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

curso

Anomaly Detection in Python

IntermediateSkill Level
4 horas
108
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

curso

Foundations of Probability in Python

IntermediateSkill Level
5 horas
251
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

curso

Generalized Linear Models in R

IntermediateSkill Level
4 horas
307
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

curso

Forecasting in R

IntermediateSkill Level
5 horas
200
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

curso

Generalized Linear Models in Python

AdvancedSkill Level
5 horas
262
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

curso

Network Analysis in R

IntermediateSkill Level
4 horas
248
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

curso

ARIMA Models in R

IntermediateSkill Level
4 horas
276
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

curso

Survival Analysis in R

IntermediateSkill Level
4 horas
217
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

curso

Analyzing Survey Data in R

IntermediateSkill Level
4 horas
141
Learn survey design using common design structures followed by visualizing and analyzing survey results.

curso

Factor Analysis in R

AdvancedSkill Level
4 horas
130
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

curso

Foundations of Inference in Python

AdvancedSkill Level
4 horas
108
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

curso

Analyzing Survey Data in Python

IntermediateSkill Level
4 horas
91
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

curso

Survival Analysis in Python

AdvancedSkill Level
4 horas
36
Use survival analysis to work with time-to-event data and predict survival time.

curso

Error and Uncertainty in Google Sheets

IntermediateSkill Level
4 horas
142
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

curso

Statistical Simulation in Python

IntermediateSkill Level
4 horas
43
Learn to solve increasingly complex problems using simulations to generate and analyze data.

curso

A/B Testing in R

IntermediateSkill Level
4 horas
48
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

curso

Discrete Event Simulation in Python

AdvancedSkill Level
4 horas
26
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

curso

ChIP-seq with Bioconductor in R

IntermediateSkill Level
4 horas
89
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

curso

Practicing Statistics Interview Questions in R

AdvancedSkill Level
4 horas
39
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

curso

Performing Experiments in Python

IntermediateSkill Level
4 horas
67
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

curso

Case Studies in Statistical Thinking

IntermediateSkill Level
4 horas
37
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

curso

Bayesian Modeling with RJAGS

AdvancedSkill Level
4 horas
24
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

curso

Forecasting Product Demand in R

IntermediateSkill Level
4 horas
16
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

curso

Building Response Models in R

AdvancedSkill Level
4 horas
37
Learn to build simple models of market response to increase the effectiveness of your marketing plans.

curso

Probability Puzzles in R

IntermediateSkill Level
4 horas
32
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

curso

Mixture Models in R

IntermediateSkill Level
4 horas
13
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
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Recursos relacionados sobre Probabilidad y Estadística

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Introducción al aprendizaje automático estadístico

Descubra la potente fusión de estadística y aprendizaje automático. Explore cómo las técnicas estadísticas sustentan los modelos de aprendizaje automático, permitiendo la toma de decisiones basada en datos.
Joanne Xiong's photo

Joanne Xiong

11 min

tutorial

Tutorial de pruebas T en R: Aprende a realizar pruebas T

Determina si existe una diferencia significativa entre las medias de los dos grupos utilizando t.test() en R.
Abid Ali Awan's photo

Abid Ali Awan

10 min


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Preguntas más frecuentes

¿Cómo se relacionan la probabilidad y la estadística con la ciencia de datos?

La probabilidad y la estadística son fundamentales para la ciencia de datos, ya que ofrecen las herramientas y los marcos necesarios para analizar los datos, hacer predicciones y obtener perspectivas significativas. Permiten a los científicos de datos comprender patrones, evaluar incertidumbres y tomar decisiones informadas basadas en el análisis de datos.

¿Por qué es importante desarrollar conocimientos en probabilidad y estadística?

Desarrollar conocimientos en probabilidad y estadística es crucial para interpretar eficazmente los datos y hacer predicciones fiables. Esta comprensión constituye la base para diseñar experimentos, analizar resultados y validar conclusiones en diversos campos, garantizando que las decisiones estén basadas en datos y pruebas.

¿Qué carreras puedo seguir con conocimientos de probabilidad y estadística?

Con conocimientos en probabilidad y estadística, puedes seguir una amplia gama de carreras, como científico de datos, investigador de mercado, ingeniero de aprendizaje automático, analista estadístico y gestor de riesgos. Estas funciones abarcan varios sectores, como las finanzas, la sanidad, la tecnología y la administración pública, donde la interpretación de los datos y la toma de decisiones basadas en pruebas son fundamentales.

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