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CERTIFICADO POR
Curso de Data Science I: Fundamentos para la Ciencia de Datos
En este curso descubrirás los fundamentos de la ciencia de datos. Aprenderás a trabajar con grandes volúmenes de datos, realizar análisis exploratorios y usar herramientas como Python para resolver problemas complejos.
ver más
🔥 ¡Probá 2 clases gratis!
DETALLES DEL CURSO:
Nivel:
Inicial
Duración:
10 semanas
Módulos:
12
EN VIVO
|
1 clase semanal de 2 hs
Ver requisitos
DIRECTOR/A DE CARRERA:
Pablo Guzzi
Chief Data & AI Officer @ Ualá Latam
AL FINALIZAR, PODRÁS:
Programar scripts eficientes en Python orientados específicamente al análisis de datos.
Manipular y limpiar datasets complejos utilizando librerías científicas como Pandas y NumPy.
Aplicar conceptos estadísticos fundamentales para validar hipótesis y modelos de datos.
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Transformá tu carrera y convertite en
Data Scientist
PARA QUIÉN ES:
Perfiles técnicos que deseen iniciar su camino en la extracción y análisis avanzado de datos.
Analistas que busquen dominar el lenguaje Python para la manipulación de grandes volúmenes de datos.
Personas que busquen iniciar carrera en ciencia de datos con las bases que piden las empresas.
MODALIDAD:
CERTIFICACIÓN OFICIAL
Certificados oficiales
por empresas líderes
Certificado oficialmente por:
APRENDÉ CON IA
Explorá el learning path completo
Aprenderás visualización y algoritmos para resolver problemas de negocio con datos.
1/
12
Nivelación
2/
12
La Transformación Digital en la Industria 4.0
3/
12
Fundamentos de Python
4/
12
NumPy y Pandas
5/
12
Manipulación de Datos: Pandas
6/
12
Visualizaciones Avanzadas en Data Science
7/
12
Estadística y Preprocesamiento
8/
12
Aplicaciones Prácticas de ML
9/
12
Aprendizaje Supervisado en Ciencia de Datos
10/
12
Aprendizaje No Supervisado
11/
12
Aplicaciones Prácticas de ML
12/
12
Proyecto Final: Data Science I
Este curso se actualiza continuamente para mejorar y adaptarse a los cambios del entorno digital.
Próximas fechas
13 de Julio
Lunes — 20:30 hs a 22:30 hs
🔥
21 de Julio
Martes — 19:00 hs a 21:00 hs
🔥
18 de Agosto
Martes — 19:00 hs a 21:00 hs
22 de Agosto
Sábado — 11:00 hs a 13:00 hs
24 de Agosto
Lunes — 20:30 hs a 22:30 hs
21 de Septiembre
Lunes — 20:30 hs a 22:30 hs
SALIDA LABORAL
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13.38 20.489 C 13.645 20.577 13.866 20.621 14.087 20.621 C 14.219 20.621 14.396 20.621 14.573 20.577 C 14.705 20.975 15.058 21.46 15.853 21.769 C 16.118 21.902 16.383 21.946 16.648 21.946 C 16.869 21.946 17.089 21.902 17.266 21.814 C 17.619 22.697 18.502 23.315 19.474 23.315 C 20.136 23.315 20.754 23.05 21.195 22.564 C 21.593 22.785 22.388 23.182 23.227 23.182 L 23.536 23.182 C 24.375 23.094 24.728 22.741 24.904 22.52 C 24.948 22.476 24.948 22.432 24.993 22.387 C 25.169 22.432 25.39 22.476 25.655 22.476 C 26.096 22.476 26.538 22.343 26.98 21.99 C 27.421 21.681 27.73 21.24 27.73 20.842 C 27.863 20.886 28.039 20.886 28.172 20.886 C 28.613 20.886 29.099 20.754 29.54 20.445 C 30.379 19.915 30.512 19.164 30.512 18.723 C 30.644 18.767 30.821 18.767 30.953 18.767 C 31.395 18.767 31.836 18.635 32.234 18.37 C 32.764 18.016 33.073 17.531 33.117 16.957 C 33.161 16.559 33.029 16.162 32.852 15.809 C 34.265 15.191 37.444 14.043 41.241 13.16 C 41.241 12.851 41.197 12.586 41.108 12.277 C 36.561 13.248 33.161 14.705 32.322 15.102 Z" fill="rgb(162, 153, 138)" height="29.052077929999996px" id="Fg0VyQnrb" transform="translate(1.5 7.5)" width="111.9950317428963px"/></svg>)
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