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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.
Read more
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.
Read more
MÓDULO 1 CONCEPTOS GENERALES
En este módulo, presentaré las principales técnicas de business analytics, a partir de una revisión general del universo de técnicas de analítica de datos y cuáles son la s más comúnmente usadas en los modelos de analítica aplicados en negocios.
MÓDULO 2 PREPROCESAMIENTO DE DATOS (1): Datos faltantes
En este Módulo se desarrolla el preprocesamiento de datos que corresponde a la etapa más compleja y de mayor duración de tiempo dentro de un proyecto de analítica de negocios. En particular, abordaremos todo lo referente al problema de los datos faltantes y las opciones de tratamiento frente a dicho problema.
MÓDULO 3 PREPROCESAMIENTO DE DATOS (2): Detección de outliers
En este módulo, continuaremos aprendiendo sobre la etapa del preprocesamiento, pero ahora nos enfocaremos en la detección y el tratamiento de los valores atípicos o extremos, llamados también outliers.
MÓDULO 4 PREPROCESAMIENTO DE DATOS (3): Normalización, Discretización y Reducción dimensional
En este último módulo se continuará explicando la etapa del preprocesamiento, pero ahora nos enfocaremos en las técnicas de transformación y la reducción dimensional de datos.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
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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Save Analítica y ciencia de datos para negocios to your list so you can find it easily later:
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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.
Show all one activities
Contribuir a proyectos de código abierto relacionados con Analítica y Ciencias de Datos
Show steps
Te expondrá a prácticas de la industria, te permitirá colaborar con expertos y ampliará tus habilidades de programación.
Show steps
Show steps
Show steps
- 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.
Show all one activities
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
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.
Data Analyst
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.
Business Analyst
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.
Operations Research Analyst
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.
Market Researcher
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.
Management Consultant
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.
Financial Analyst
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.
Risk Analyst
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.
Quantitative Analyst
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.
Data Visualization Specialist
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.
Business Intelligence Analyst
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.
Data Engineer
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.
Systems Analyst
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.
Database Administrator
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.
Software Engineer
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.
For more career information including salaries, visit:
OpenCourser.com/course/i5co4p/analitica
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.
Este libro complementa el curso al proporcionar una visión general de los conceptos y técnicas de ciencia de datos para los negocios.
Este libro proporciona una introducción integral al uso de datos para la toma de decisiones comerciales.
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Este libro proporciona profundidad y amplitud al curso al cubrir las herramientas y técnicas prácticas de minería de datos.
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Este libro agrega profundidad al curso al cubrir el análisis predictivo y su aplicación en varios dominios.
Este libro proporciona antecedentes y conocimientos sobre el preprocesamiento de datos, un tema cubierto en el curso.
Save
Este libro es una referencia valiosa para los algoritmos y técnicas de aprendizaje automático, un tema cubierto en el curso.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/i5co4p/analitica
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Effort
6 horas por semana durante un mes
Level
Introductory
Via
Coursera
Institution
Pontificia Universidad Católica del Perú
Instructor
Eduardo Carbajal López
Language
Español
Good to know
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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