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Analítica y ciencia de datos para negocios

Eduardo Carbajal López

4.2

Based on 62 ratings

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Eduardo Carbajal López

El objetivo del curso es lograr que los estudiantes apliquen los principios básicos, las características de la Analítica y ciencias de datos así como las etapas en el proceso de desarrollo de un proyecto de análisis de datos. Los estudiantes también se familiarizarán con el preprocesamiento de datos y serán capaces de manejar a, nivel práctico, las principales técnicas componentes de este, como el análisis de faltantes, la detección de outliers, las técnicas de normalización, discretización y reducción dimensional.

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What's inside

Syllabus

INTRODUCCIÓN

Esta sección presenta los conceptos esenciales para poder desarrollar el curso con éxito. Te invitamos a revisarlo todas las veces que lo consideres necesario.

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Este curso es ideal para aquellos que buscan adquirir conocimientos introductorios sobre analítica de datos y ciencia de datos

El curso cubre los conceptos básicos y las etapas del proceso de desarrollo de un proyecto de análisis de datos

Los estudiantes se familiarizarán con el preprocesamiento de datos, una etapa crucial en los proyectos de análisis de datos

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Reviews summary

Fundamentos de analítica de datos para negocios

Según los estudiantes, este curso ofrece una sólida base teórica y una excelente cobertura del preprocesamiento de datos, un aspecto crucial en la analítica de negocios. Los módulos sobre datos faltantes, detección de outliers y normalización son considerados muy completos y prácticos. El profesor es elogiado por sus explicaciones claras y el contenido por su relevancia para el entorno empresarial. Sin embargo, una crítica recurrente es la falta de una mayor aplicación práctica y el uso de herramientas o software específico, lo que puede requerir estudio complementario. Algunos lo encuentran demasiado teórico o básico para perfiles con experiencia.

Bueno para iniciarse, algo básico para usuarios avanzados.

"Para alguien con experiencia previa, puede ser un poco básico."

"Quizás para un nivel más avanzado se quede corto, pero para empezar o repasar conceptos clave, es ideal."

"Me pareció un curso adecuado para principiantes, pero si ya tienes algo de conocimiento, puede resultar un poco lento."

Proporciona una base teórica robusta en analítica de datos.

"Excelente curso para entender los fundamentos de la analítica de datos en el contexto de negocios."

"La base teórica es muy sólida."

"Un curso que cumple con lo que promete. La base teórica es muy sólida."

"Este curso ha sido fundamental para mi desarrollo profesional."

Enfoque profundo en técnicas de preprocesamiento de datos.

"Los módulos de preprocesamiento de datos son muy completos y prácticos."

"El módulo sobre preprocesamiento es crucial y está bien desarrollado."

"Impresionante la profundidad de los temas de preprocesamiento. Era justo lo que necesitaba para mi trabajo."

"El preprocesamiento es el tema estrella, muy bien explicado."

Requiere más práctica, software y demostraciones aplicadas.

"Me hubiera gustado ver más herramientas o software específico en los ejercicios..."

"El curso es bueno en teoría, pero sentí que le faltó más práctica con software real."

"Necesito más demostraciones en vivo o laboratorios."

"Las demostraciones son un poco escasas, y uno debe buscar por su cuenta cómo implementarlo."

"Siento que el curso se enfoca demasiado en la teoría y poco en la aplicación."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Analítica y ciencia de datos para negocios with these activities:

Contribuir a proyectos de código abierto relacionados con Analítica y Ciencias de Datos

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Te expondrá a prácticas de la industria, te permitirá colaborar con expertos y ampliará tus habilidades de programación.

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Explorar repositorios de código abierto en plataformas como GitHub.
Identificar proyectos relacionados con Analítica y Ciencias de Datos.
Contribuir con mejoras, correcciones de errores o nuevas funciones a los proyectos.

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Career center

Learners who complete Analítica y ciencia de datos para negocios will develop knowledge and skills that may be useful to these careers:

Data Scientist

As a Data Scientist, you will use scientific methods to extract knowledge and insights from data. The course's introduction to machine learning will be helpful to you in this role. You will use machine learning algorithms to build predictive models, classify data, and identify patterns in data. The course's coverage of data preprocessing techniques, such as data cleaning and transformation, will also be relevant to your work.

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Business Analyst

As a Business Analyst, you will analyze business data to identify problems and opportunities. The course's emphasis on data analysis and business intelligence will be helpful to you in this role. You will use a variety of data analysis techniques to understand customer behavior, identify market trends, and improve business processes. The course's coverage of data visualization techniques will also be relevant to your work.

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Operations Research Analyst

As an Operations Research Analyst, you will use mathematical and analytical techniques to solve business problems. The course's emphasis on data analysis and business intelligence will be helpful to you in this role. You will use a variety of data analysis techniques to identify problems and opportunities, develop solutions, and evaluate the effectiveness of those solutions. The course's coverage of optimization techniques will also be relevant to your work.

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Data Analyst

As a Data Analyst, you will analyze and interpret data from many sources. The course's emphasis on data analysis will be particularly helpful to you in this role. You will use a variety of statistical and machine learning techniques to identify trends, patterns, and anomalies in data. The course's coverage of data preprocessing techniques, such as data cleaning and transformation, will also be relevant to your work.

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Market Researcher

As a Market Researcher, you will collect and analyze data to understand customer behavior and market trends. The course's emphasis on data analysis and business intelligence will be helpful to you in this role. You will use a variety of data analysis techniques to understand customer behavior, identify market trends, and develop marketing strategies. The course's coverage of survey design and analysis techniques will also be relevant to your work.

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Quantitative Analyst

As a Quantitative Analyst, you will use mathematical and statistical techniques to analyze financial data. The course's emphasis on data analysis and business intelligence will be helpful to you in this role. You will use a variety of data analysis techniques to analyze financial data, identify trends, and make investment recommendations. The course's coverage of financial modeling techniques will also be relevant to your work.

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Management Consultant

As a Management Consultant, you will help businesses solve problems and improve performance. The course's emphasis on data analysis and business intelligence will be helpful to you in this role. You will use a variety of data analysis techniques to identify problems and opportunities, develop solutions, and evaluate the effectiveness of those solutions. The course's coverage of project management techniques will also be relevant to your work.

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Financial Analyst

As a Financial Analyst, you will analyze financial data to make investment recommendations. The course's emphasis on data analysis and business intelligence will be helpful to you in this role. You will use a variety of data analysis techniques to analyze financial statements, identify trends, and make investment recommendations. The course's coverage of financial modeling techniques will also be relevant to your work.

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Risk Analyst

As a Risk Analyst, you will identify and assess risks to a business. The course's emphasis on data analysis and business intelligence will be helpful to you in this role. You will use a variety of data analysis techniques to identify and assess risks to a business, such as financial risks, operational risks, and reputational risks. The course's coverage of risk management techniques will also be relevant to your work.

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Business Intelligence Analyst

As a Business Intelligence Analyst, you will use data to improve business performance. The course's emphasis on data analysis and business intelligence will be helpful to you in this role. You will use a variety of data analysis techniques to analyze business data and identify opportunities for improvement. The course's coverage of data visualization techniques will also be relevant to your work.

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Data Visualization Specialist

As a Data Visualization Specialist, you will use data to create visual representations of data. The course's emphasis on data analysis and business intelligence will be helpful to you in this role. You will use a variety of data visualization techniques to create visual representations of data that can be used to communicate insights to business stakeholders. The course's coverage of data visualization best practices will also be relevant to your work.

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Software Engineer

As a Software Engineer, you will design, develop, and maintain software systems. The course's emphasis on data structures and algorithms will be helpful to you in this role. You will use a variety of programming languages and software development tools to build software systems. The course's coverage of software design and architecture will also be relevant to your work.

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Data Engineer

As a Data Engineer, you will design, build, and maintain data systems. The course's emphasis on data structures and algorithms will be helpful to you in this role. You will use a variety of data engineering tools and technologies to build data systems. The course's coverage of data warehousing and data mining techniques will also be relevant to your work.

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Database Administrator

As a Database Administrator, you will manage and maintain database systems. The course's emphasis on data structures and algorithms will be helpful to you in this role. You will use a variety of database management tools and technologies to manage database systems. The course's coverage of database design and optimization techniques will also be relevant to your work.

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Systems Analyst

As a Systems Analyst, you will analyze business systems and design solutions to improve their performance. The course's emphasis on data analysis and business intelligence will be helpful to you in this role. You will use a variety of data analysis techniques to analyze business systems and identify areas for improvement. The course's coverage of systems analysis and design techniques will also be relevant to your work.

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Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Analítica y ciencia de datos para negocios.