En este curso adquirirás los fundamentos de la extracción, transformación y carga (ETL) de datos, así como la exploración de datos en la ciencia de datos. Aprenderás a trabajar con Pandas y dataframes, a leer archivos CSV y XLSX, y a comprender los conceptos de series temporales. Además, aprenderás la visualización de datos utilizando Matplotlib, creando gráficas individuales y personalizadas. También utilizarás NumPy y la manipulación de arrays, realizando las operaciones básicas y calculando gradientes. A lo largo del curso, desarrollarás buenas prácticas en el flujo de trabajo en ciencia de datos y en los conceptos avanzados como multi-índices en series temporales. Finalmente, sabrás como usar paquetes de manera local.
Python: de usuario a explorador de datos
Python: de usuario a explorador de datos
This course is part of Python: de cero a analista de datos Specialization
Instructor: Guillermo Barrios del Valle
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20 reviews
Beginner level
No prior experience required
2 weeks to complete
at 10 hours a week
Flexible schedule
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Taught in Spanish
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This course is part of the Python: de cero a analista de datos Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course
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Universidad Nacional Autónoma de México
Universidad Nacional Autónoma de México
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Showing 3 of 20
IC
Reviewed on Aug 28, 2025
me gustan que tengan actividades por modulo ayuda hacer un recuerdo
FC
Reviewed on Sep 8, 2025
Muy entendible y se sustrae de él herramientas muy útiles para explorar datos.
CL
Reviewed on Aug 31, 2025
Muy buen curso, pero que problema para descargar el certificado y una demora para la ayuda.
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