Este curso introduce los conceptos matemáticos, estadísticos y de manejo de datos esenciales para trabajar eficazmente en analítica del fútbol. Los alumnos construirán una base sólida explorando medidas de tendencia central, variabilidad, distribuciones de probabilidad, desviaciones estándar e intervalos de confianza: los fundamentos que sustentan todo el razonamiento analítico en el deporte. A través de ejemplos específicos del fútbol, el curso explica cuándo utilizar distintos estimadores, cómo interpretar la incertidumbre y por qué es crucial elegir la distribución correcta al modelar rendimiento y eventos del partido.
Conceptos imprescindibles - Requisitos para el análisis
Conceptos imprescindibles - Requisitos para el análisis
This course is part of Máximo rendimiento y tecnología en el deporte Specialization
Instructor: Marisa Sáenz
Included with
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Aplicar conceptos estadísticos clave (medias, distribuciones, variabilidad) a datos de fútbol.
Comprender los tipos de datos (conteo, eventos, tracking, esqueleto) y su impacto en el análisis.
Utilizar Python, APIs y herramientas de visualización para procesar y comunicar insights futbolísticos.
Skills you'll gain
- Data Capture
- Application Programming Interface (API)
- JSON
- Data Import/Export
- Performance Measurement
- Probability & Statistics
- Data Literacy
- Restful API
- Technical Communication
- Web Scraping
- Descriptive Statistics
- Probability
- Analytical Skills
- Data Collection
- Statistical Analysis
- Data Manipulation
- Pandas (Python Package)
- Data Cleansing
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
December 2025
Assessments
8 assignments
Taught in Spanish
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This course is part of the Máximo rendimiento y tecnología en el deporte Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
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- Earn a shareable career certificate
There are 4 modules in this course
Construir una base sólida en los conceptos matemáticos que son cruciales para el análisis de datos. Este módulo desglosa varios tipos de promedios, explora distribuciones de datos comunes y desmitifica medidas importantes como la desviación estándar y los intervalos de confianza, lo que le permite interpretar los datos con claridad y precisión.
What's included
6 videos4 readings2 assignments
Explorar la diversidad de datos en el panorama analítico actual. Aprenderá a distinguir entre el conteo básico y los datos del GPS, entenderá los matices de los datos de eventos de diferentes proveedores y descubrirá datos avanzados de seguimiento y esqueleto que agregan un rico contexto al análisis deportivo.
What's included
6 videos3 readings2 assignments1 discussion prompt
Ponga manos a la obra con las herramientas y técnicas que dan vida a los datos. Este módulo le presenta la recopilación de datos a través de APIs y web scraping, procesándolos utilizando Python y formatos de datos esenciales, y transformando los números en bruto en atractivos visuales con plataformas como Tableau, Matplotlib y Power BI.
What's included
6 videos3 readings2 assignments1 discussion prompt
Transformar análisis complejos en mensajes claros y accionables. Aprenda a identificar el propósito de su análisis, encuentre el equilibrio correcto entre detalle y simplicidad, y use un diseño de gráficos bien pensado para asegurar que su audiencia entienda las ideas sin ser engañada.
What's included
6 videos3 readings2 assignments1 discussion prompt
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Explore more from Data Analysis
Real Madrid Graduate School Universidad Europea
Real Madrid Graduate School Universidad Europea
Real Madrid Graduate School Universidad Europea
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