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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.
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DETALLES DEL CURSO:
Nivel:
Inicial
Duración:
10 semanas
Módulos:
20
Requisitos
HERRAMIENTAS:
Python
Pandas
NumPy
Jupyter Notebook
SQL
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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Transforma tu carrera y conviértete 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 interesadas en sentar las bases de la estadística aplicada a la tecnología.
MODALIDAD:
CERTIFICACIÓN OFICIAL
Certificados oficiales
por empresas líderes
Certificado oficialmente por:
APRENDE CON IA
Explora el learning path completo
Aprenderás visualización y algoritmos para resolver problemas de negocio con datos.
1/
20
La Transformación Digital en la Industria 4.0
2/
20
Fundamentos de Python
3/
20
NumPy y Pandas
4/
20
Manipulación de Datos: Pandas
5/
20
Visualizaciones Avanzadas en Data Science
6/
20
Estadística y Preprocesamiento
7/
20
Aplicaciones Prácticas de ML
8/
20
Aprendizaje Supervisado en Ciencia de Datos
20
Aprendizaje No Supervisado
10/
20
Fundamentos de IA y Machine Learning
Próximas fechas
14 de abril
Martes — 5:00pm a 7:00pm
🔥
20 de abril
Lunes — 6:30pm a 8:30pm
🔥
4 de mayo
Lunes — 6:30pm a 8:30pm
12 de mayo
Martes — 5:00pm a 7:00pm
30 de mayo
Sábado — 9:00am a 11:00am
9 de junio
Martes — 5:00pm a 7:00pm
Únete a los miles de graduados que trabajan en empresas líderes
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7.669 C 62.096 5.618 64.12 4.417 66.434 4.782 C 68.801 5.144 70.001 6.846 69.813 9.764 Z M 67.67 8.293 C 67.371 6.943 66.65 6.395 65.47 6.461 C 64.39 6.522 63.801 7.119 63.712 8.293 Z M 78.658 22.937 L 72.618 22.937 C 72.654 24.772 74.091 25.618 75.677 24.963 C 76.495 24.624 77.392 24.476 78.383 24.199 C 77.935 26.212 75.87 27.221 73.651 26.767 C 71.087 26.245 69.945 24.255 70.455 21.202 C 70.829 18.967 72.789 17.662 75.297 17.983 C 77.626 18.289 78.962 20.19 78.658 22.937 Z M 72.603 21.49 L 76.563 21.49 C 76.329 20.289 75.722 19.719 74.576 19.706 C 73.429 19.693 72.794 20.251 72.603 21.49 Z M 107.627 13.646 C 104.895 13.629 103.295 11.964 103.313 9.133 C 103.33 6.302 104.969 4.668 107.704 4.681 C 110.438 4.694 112.003 6.34 111.995 9.207 C 111.988 12.074 110.415 13.664 107.627 13.646 Z M 109.824 9.515 C 109.806 9.075 109.764 8.636 109.697 8.2 C 109.442 7.153 108.876 6.452 107.699 6.432 C 106.521 6.411 105.797 7.056 105.66 8.119 C 105.523 9.031 105.61 9.962 105.915 10.833 C 106.457 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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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Preguntas Frecuentes
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¿Qué validez tienen los cursos y carreras de Coderhouse?
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