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CERTIFICADO POR:
Curso de Data Science II: Machine Learning para la Ciencia de Datos
En este curso te adentrarás en el mundo del Machine Learning. Aprenderás a construir modelos predictivos, entrenar algoritmos y aplicar técnicas avanzadas para obtener insights y mejorar procesos en proyectos de datos.
ver más
DETALLES DEL CURSO:
Nivel:
Intermedio
Duración:
16 semanas
Módulos:
16
Requisitos
HERRAMIENTAS:
SQL
NumPy
DIRECTOR/A DE CARRERA:
Pablo Guzzi
Chief Data & AI Officer @ Ualá Latam
AL FINALIZAR, PODRÁS:
Implementar algoritmos de Machine Learning para resolver problemas de clasificación y regresión.
Optimizar hiperparámetros de modelos utilizando técnicas de validación cruzada avanzada.
Diseñar flujos de procesamiento de datos eficientes integrando SQL y librerías científicas.
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Transformá tu carrera y convertite en
Data Scientist
PARA QUIÉN ES:
Científicos de datos que busquen especializarse en el modelado predictivo avanzado.
Profesionales que necesiten integrar pipelines de datos con algoritmos de aprendizaje automático.
Perfiles técnicos interesados en dominar la arquitectura de modelos supervisados y no supervisados.
MODALIDAD:
CERTIFICACIÓN OFICIAL
Certificados oficiales
por empresas líderes
Certificado oficialmente por:
APRENDÉ CON IA
Explorá el learning path completo
Aprenderás a entrenar modelos de Machine Learning para generar insights de negocio.
1/
16
Retomando el impulso
2/
16
Fundamentos de bases de datos
3/
16
Data Acquisition
4/
16
SQL Básico
5/
16
SQL Avanzado
6/
16
Otros Formatos de Bases de Datos
7/
16
API
8/
16
Data Wrangling I
16
Data Wrangling II
10/
16
Limpieza de Data
11/
16
Exploratory Data Analysis (EDA)
12/
16
Visualización de Datos
13/
16
Storytelling
14/
16
Datos Espaciales y Visualizaciones Animadas
15/
16
Analisis univariado y gráficos
16/
16
Cierre: Proyecto final
Próximas fechas
11 de mayo
Lunes — 20:30 hs a 22:30 hs
27 de junio
Sábado — 11:00 hs a 13:00 hs
6 de julio
Lunes — 20:30 hs a 22:30 hs
11 de agosto
Martes — 19:00 hs a 21:00 hs
14 de septiembre
Lunes — 20:30 hs a 22:30 hs
26 de septiembre
Sábado — 11:00 hs a 13:00 hs
Unite a los miles de graduados que trabajan en empresas líderes
+1820
+640
+270
+740
+130
+630
+1870
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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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+450.000 graduados.
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Preguntas Frecuentes
¿Cómo es la modalidad de cursada?
¿Cuáles son los medios de pago?
¿Cómo obtengo el Certificado?
¿Qué validez tienen los cursos y carreras de Coderhouse?
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