Data Analysis with Python Project

University of Colorado Boulder via Coursera

Coursera

24 Cursos


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Resumen

El curso "Proyecto de Análisis de Datos con Python" ofrecido por la Universidad de Colorado Boulder y disponible en Coursera es un programa integral diseñado para empoderar a los estudiantes mediante la aplicación del conocimiento y las habilidades adquiridas a través de esta especialización. En este curso, los participantes serán llevados por un viaje revelador que comienza desde el procesamiento de datos en bruto hasta la derivación de conocimiento e inteligencia a través de diversas técnicas de análisis de datos.

Los estudiantes se sumergirán en áreas tanto fundamentales como avanzadas del análisis de datos incluyendo aprendizaje supervisado y no supervisado, regresión, agrupamiento, reducción de dimensiones, reglas de asociación y detección de anomalías. El currículo está estructurado no solo para proporcionar conocimientos teóricos sino también experiencia práctica a través de tutoriales, ejercicios prácticos y un proyecto final enfocado en el análisis de datos de la vida real.

Al final de este curso comprensivo, los participantes podrán:

  • Comprender conceptos fundamentales y avanzados en análisis de datos a través de un amplio espectro de metodologías como regresión, clasificación y agrupamiento.
  • Definir y abordar proyectos de análisis de datos con estrategias apropiadas para alcanzar sus objetivos, utilizando algoritmos de clasificación como Vecinos más Cercanos, Árboles de Decisión, SVM, Bayes Ingenuo y Regresión Logística para la modelización predictiva.
  • Mejorar el rendimiento de los modelos utilizando técnicas de validación cruzada y de ensamblaje, y aplicar algoritmos de regresión para la predicción de resultados numéricos.
  • Descubrir patrones subyacentes en los datos utilizando técnicas de agrupamiento y simplificar la complejidad de los datos mediante la reducción de dimensiones usando PCA.
  • Minar reglas de asociación en datos transaccionales con algoritmos como Apriori y FPGrowth e identificar anomalías utilizando diversos métodos de detección.

Los participantes que completen este curso emergerán proficientes en análisis de datos, listos para aplicar su experticia recién adquirida a una multitud de proyectos y tomar decisiones informadas basadas en datos. Este curso está categorizado bajo Cursos de Python, Cursos de Análisis de Datos, Aprendizaje Supervisado y Aprendizaje No Supervisado, lo que lo hace perfecto para individuos que buscan afilar sus habilidades en análisis de datos.

Programa de estudio


Enseñado por

Di Wu


Etiquetas

united states

provider Coursera

Coursera

1500 Cursos


Coursera

pricing Free Online Course (Audit)
language English
duration 18 hours
sessions On-Demand
level Intermediate