Ciencia de Datos de IBM Professional Certificate

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Course Summary

This professional certificate program from IBM will teach you the essential skills for a career in data science, covering everything from data acquisition and preparation to statistical analysis, machine learning, and data visualization.

Key Learning Points

  • Gain hands-on experience with real-world projects and data sets
  • Learn from industry experts and IBM professionals
  • Earn a professional certificate recognized by leading companies in the field

Job Positions & Salaries of people who have taken this course might have

    • USA: $113,309
    • USA: USD
    • India: ₹1,203,961
    • India: INR
    • Spain: €35,807
    • Spain: EUR
    • USA: $113,309
    • USA: USD
    • India: ₹1,203,961
    • India: INR
    • Spain: €35,807
    • Spain: EUR

    • USA: $67,377
    • USA: USD
    • India: ₹595,973
    • India: INR
    • Spain: €25,000
    • Spain: EUR
    • USA: $113,309
    • USA: USD
    • India: ₹1,203,961
    • India: INR
    • Spain: €35,807
    • Spain: EUR

    • USA: $67,377
    • USA: USD
    • India: ₹595,973
    • India: INR
    • Spain: €25,000
    • Spain: EUR

    • USA: $121,707
    • USA: USD
    • India: ₹1,100,000
    • India: INR
    • Spain: €40,000
    • Spain: EUR

Related Topics for further study


Learning Outcomes

  • Understand the fundamentals of data science
  • Gain practical experience with real-world projects
  • Learn to use industry-standard tools and techniques

Prerequisites or good to have knowledge before taking this course

  • Basic programming skills in Python
  • Familiarity with statistics and probability

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced
  • Project-based

Similar Courses

  • Applied Data Science with Python Specialization
  • Data Science Essentials
  • Data Science Methodology

Related Education Paths


Notable People in This Field

  • Principal Data Scientist at Booz Allen Hamilton
  • General Manager of Machine Learning at Cloudera
  • Founder of deeplearning.ai

Related Books

Description

La ciencia de datos es una de las profesiones más populares de la década, y la demanda de científicos de datos que puedan analizar datos y comunicar resultados para informar decisiones basadas en datos nunca ha sido mayor. Este Certificado Profesional de IBM ayudará a cualquier persona interesada en seguir una carrera en ciencia de datos o aprendizaje automático a desarrollar habilidades y experiencia relevantes para su carrera.

Es un mito que para convertirse en científico de datos se necesita un doctorado. Cualquier persona con pasión por el aprendizaje puede tomar este Certificado Profesional (no se requieren conocimientos previos de informática o lenguajes de programación) y desarrollar las habilidades, herramientas y portafolio para tener una ventaja competitiva en el mercado laboral como científico de datos de nivel básico.

Al completar con éxito estos cursos, habrá creado una cartera de proyectos de ciencia de datos para brindarle la confianza necesaria para sumergirse en una profesión emocionante en ciencia de datos.

Además de obtener un Certificado Profesional de Coursera, también recibirá una insignia digital de IBM que reconoce su competencia en ciencia de datos.

Summary of User Reviews

The IBM Professional Certificate in Data Science course has received positive reviews from users. Many students have praised the course content and structure, which covers a wide range of topics related to data science. The course is designed to be accessible to students with varying levels of expertise, making it ideal for beginners and professionals alike.

Key Aspect Users Liked About This Course

The course content and structure were praised by many students for being comprehensive and accessible.

Pros from User Reviews

  • Comprehensive course content
  • Accessible approach for students of varying expertise levels
  • Hands-on learning opportunities
  • Opportunities for collaboration with peers
  • Good value for the price

Cons from User Reviews

  • Limited instructor interaction
  • Some technical issues with the online platform
  • Some students found the course material to be too basic
  • Not enough emphasis on real-world applications
  • Limited opportunities for personalized learning
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