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Especialista en Ciencia de Datos

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April 13, 2024 Updated June 12, 2024 5 minute read

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Especialistas en Ciencia de Datos son profesionales que utilizan habilidades matemáticas y analíticas para resolver problemas complejos utilizando datos. Recolectan, limpian y analizan datos para identificar tendencias, patrones y conocimientos ocultos que pueden ayudar a las empresas a tomar decisiones informadas.

Habilidades y Conocimientos

Los Especialistas en Ciencia de Datos necesitan una base sólida en matemáticas, estadística y programación. También necesitan tener excelentes habilidades de comunicación y visualización de datos para presentar hallazgos a audiencias técnicas y no técnicas.

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Salaries for Especialista en Ciencia de Datos

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$120,000

$158,000

$205,000

$158,000

San Francisco

$158,000

$178,000

$218,000

$178,000

Seattle

$166,000

$198,000

$223,000

$198,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$120,000

$158,000

$205,000

$158,000

San Francisco

$158,000

$178,000

$218,000

$178,000

Seattle

$166,000

$198,000

$223,000

$198,000

Austin

$104,000

$139,000

$192,000

$139,000

Toronto

$97,000

$124,000

$160,000

$124,000

London

£60,000

£85,000

£107,000

£85,000

Paris

€49,500

€56,000

€64,300

€56,000

Berlin

€77,000

€96,000

€114,000

€96,000

Tel Aviv

₪225,000

₪344,000

₪535,000

₪344,000

Singapore

S$88,000

S$133,000

S$163,000

S$133,000

Beijing

¥446,000

¥640,000

¥894,000

¥640,000

Shanghai

¥322,000

¥488,000

¥692,000

¥488,000

Shenzhen

¥343,000

¥505,000

¥653,000

¥505,000

Bengalaru

₹798,000

₹1,670,000

₹2,430,000

₹1,670,000

Delhi

₹1,804,000

₹3,492,000

₹3,740,000

₹3,492,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Especialista en Ciencia de Datos

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We've curated three courses to help you on your path to Especialista en Ciencia de Datos. Use these to develop your skills, build background knowledge, and put what you learn to practice.

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Practical Python for AI Coding 2

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Python Aplicado: 5 Proyectos Reales de Principio a Fin

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