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5.0 /5
(23)

59
Bienvenidos al Curso de Análisis de Datos del COVID 19
Cómo sacarle el Máximo Partido al Curso
La Comunidad de Discord para Aprender con Amigos
El Repositorio GitHub del Curso
Los Datos del COVID19 de Kaggle
Crédito a los Autores del Dataset
Cómo Cargar el Dataset Correctamente
Cambiar el Nombre a las Columnas para Mayor Comodidad
Tipo de Datos de cada Columna
El Tipo de Dato Fecha y su Manipulación
La Librería lubridate
Datos Anómalos y Sin Sentido
¿Qué ha Ocurrido en Europa?
Ejercicio Práctico: mi Viaje a Potsdam
Mapas del Mundo con ggmaps
Cómo Pintar un Mapa Minimalista con Puntos
Cómo Hacer que tus Gráficos sean Interactivos
El Top de Países Infectados
Segmentación de los Datos de Regiones por Categorías con Mosaic Plots
Evolución de Infectados vs Recuperados vs Muertos
Análisis de los Datos de España
La Librería xts y su Importancia en el Análisis Temporal
Lead, Lag y el Estudio de Nuevos Casos
Tasa de Variación Media
Solución de la Tarea
¿Qué es el Análisis por Cohortes y en Qué Consiste?
Días desde el Origen de la Pandemia por País
Representación Gráfica del Cohorte
Adaptando las Variables Independientes del Modelo
El Modelo de Regresión Lineal
¿Cómo Saber si nuestro Modelo es Correcto?
El Modelo de Regresión Exponencial
El Modelo de Regresión Potencial
Comparación Visual de los Tres Modelos
Estudio de la Homogeneidad de la Infección
Estudio de la Homogeneidad de la Infección para los Datos de España
Solución de la Tarea
España: Datos Oficiales del Ministerio de Sanidad
Cómo Recopilar Datos Oficiales
Tablas Largas (long) y Amplias (wider)
Nuestro Modelo de Datos
Añadir Metadatos a nuestro Modelo de Datos
Uso de Modelo de Datos. Cómo Archivar los Datos
Extra - Actualización de Fuentes de Datos Noviembre 2020
Modelo SIR
Modelo SIR Aplicado a la Comunidad de Madrid
Solución de la Tarea
Introducción a las Series Temporales
Modelado de los Datos del Coronavirus en España por una Serie Temporal
Modelado y Estudio de la Serie Temporal de los Datos de las CCAA de España
Solución de la Tarea
Introducción al Shiny e Informes Interactivos
El Diseño de la UI en Shiny
Carga de Datos e Interfaces de Usuario Reactivas
Rellenar el Desplegable de Países
Gráficos Básicos en Shiny
Gráficos Interactivos en Shiny
Dashboard con Python en Heroku de Rafael Espada Iniesta
Enhorabuena por Completar el Curso

instructor

5.0 /5
(23)

  • Avatar
    Eulogio
    (5)
    Great course

    Thanks to the course you learn by watching a real example. There's nothing clearer for understanding data analysis than seeing an example as close to us as Covid19

  • Avatar
    Jorge
    (5)
    Real-world impact analysis

    I loved how they approached this course; you don't just learn to code, you learn to make sense of data that actually matters. I feel like I now have a solid foundation to interpret what's happening around me using tech tools.

  • Avatar
    Nieves
    (5)
    Learn to analyze COVID-19 data with R and Python: data science applied to public health

    This course teaches you how to use R and Python to analyze real COVID-19 data, from collection to visualization and modeling. You'll learn to import datasets, clean information, create interactive graphics, work with time series, maps and predictive models.

  • Avatar
    Carlos
    (5)
    A practical and relevant approach

    This course allowed me to apply data analysis to a real case like COVID-19. The best part was being able to work with R and Python simultaneously, understanding how both languages can complement statistical and epidemiological analysis. The explanations are clear, the data is real, and the learning is completely hands-on. Perfect for those who want to get into data analysis with an applied approach.

  • Avatar
    Rosa
    (5)
    It's a bit outdated, but it's really good for analyzing data

  • Avatar
    Giovanni
    (5)
    Analysis with impact and current context

    I'm leaving with a much more critical analytical capacity and highly versatile technical skills for any data research project

  • Avatar
    Angel
    (5)
    Learn to analyze COVID-19 data with R and Python

    This course is designed for those who want to apply data science tools to pandemic analysis, with a focus on COVID-19. Through a hands-on approach, you'll learn to import, clean, visualize, and model epidemiological data using libraries like Pandas, Matplotlib, ggplot2, Seaborn, and dplyr.

  • Avatar
    Gustavo
    (5)
    Analyze the impact of COVID-19 with scientific precision: a revealing course with R and Python

    The course Learn to analyze COVID-19 data with R and Python is an educational proposal that combines technical rigor with social relevance. From the first module, you can see the commitment to teaching not only analysis tools, but also how to interpret critical data in a global context that shaped our lives.

  • Avatar
    Javi
    (5)
    I finally got how to handle that data!

    I loved it because it doesn't beat around the bush. I could finally understand how all that data we see in the news is organized and read without losing my mind over weird code. They explain everything step by step so you feel like you're really learning something useful for everyday life

  • Avatar
    Nicolás
    (5)
    An excellent way to apply data science to a real-world case.

  • Avatar
    Santiago
    (5)
    I like it because it's a real case where you learn a ton of things

  • Avatar
    Jackeline
    (5)
    Working with real COVID-19 data made me feel that my analyses had concrete impact.

  • Avatar
    Sara
    (5)
    The data made sense

  • Avatar
    Gabriela
    (5)
    Analyzing COVID with R and Python

    It was fascinating to learn how to handle real COVID-19 data with these two tools. The course showed me how to clean, analyze, and visualize data effectively.

  • Avatar
    Samuel
    (5)
    Highly recommended

    This gave me tools to better understand real-world use cases for data analysis

  • Avatar
    Caty
    (5)
    Awesome

    I was really drawn to this course and decided to take it, and wow, I've learned so much

  • Avatar
    danison
    (5)
    Great course

    What an interesting way to put into practice everything I've been learning about data analysis, I love it.

  • Avatar
    Marc
    (5)
    Really interesting

    A really interesting and complete course, I really enjoyed it. Plus, being able to see what happened during the pandemic from another perspective

  • Avatar
    Joiser
    (5)
    Very good overall

    Very good overall, comprehensive and really enlightening on the topic of pandemics

  • Avatar
    Yvonne
    (5)
    A course still trending

    Very complete, well-structured and up-to-date. I really like it.

  • Avatar
    Jesus
    (5)
    Excellent course

    It really helped me learn geographical analysis and time series with a topic that hits close to home like COVID-19

  • Avatar
    Nicolas
    (5)
    Excellent :)

    A really dynamic course—for those of us who've already done previous courses, it's amazing to put these technologies into practice and do the analysis with R and Python!!!

  • Avatar
    BORJA
    (5)
    Excellent

    Great course, really interesting and using top R and Python apps.

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