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Juan Cristóbal Bonnefoy
Este curso te brinda herramientas prácticas para entender el uso de datos en distintos tipos de organizaciones y así tomar decisiones informadas aplicando prácticas de aseguramiento de calidad, éticas y con una perspectiva inclusiva con la información obtenida.
Read more
Este curso te brinda herramientas prácticas para entender el uso de datos en distintos tipos de organizaciones y así tomar decisiones informadas aplicando prácticas de aseguramiento de calidad, éticas y con una perspectiva inclusiva con la información obtenida.
Read more
Este curso te brinda herramientas prácticas para entender el uso de datos en distintos tipos de organizaciones y así tomar decisiones informadas aplicando prácticas de aseguramiento de calidad, éticas y con una perspectiva inclusiva con la información obtenida.
A través de 3 módulos podrás identificar los enfoques y las estrategias de analítica de datos y big data y entender su relación con la resolución de problemas. Así mismo, conocerás los fundamentos de las organizaciones data-driven, o basadas en datos. Además, aprenderás a reconocer el proceso de Business Intelligence (BI) y su relación con proyectos que contengan datos como su eje principal.
Si eres una persona interesada en datos sin perfil técnico y deseas aprender sobre la importancia del análisis de datos en la parte estratégica del negocio los sectores públicos y privados, así como los oportunidades y desafíos que se presentan, este curso es para ti.
Register for this course and see more details by visiting:
OpenCourser.com/course/1tbf3j/uso
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Syllabus
Módulo 1: Organizaciones orientadas al uso de datos
En este módulo realizaremos una breve introducción al contexto y al papel indispensable que cumplen los datos para las organizaciones, tanto públicas como privadas. Aprenderemos qué significa ser una organización data-driven y cómo distintos tipos de organizaciones están usando datos para la toma de decisiones y resolución de problemas. También definiremos qué es el big data y cómo se distingue de la analítica de datos tradicional. Por último, discutiremos las oportunidades y desafíos del uso de datos para la gestión pública y el sector privado, en particular las mipymes.
Read more
Syllabus
Módulo 1: Organizaciones orientadas al uso de datos
En este módulo realizaremos una breve introducción al contexto y al papel indispensable que cumplen los datos para las organizaciones, tanto públicas como privadas. Aprenderemos qué significa ser una organización data-driven y cómo distintos tipos de organizaciones están usando datos para la toma de decisiones y resolución de problemas. También definiremos qué es el big data y cómo se distingue de la analítica de datos tradicional. Por último, discutiremos las oportunidades y desafíos del uso de datos para la gestión pública y el sector privado, en particular las mipymes.
Read more
Módulo 2: El uso de datos para la identificación y resolución de problemas
En este módulo comenzaremos a explorar los elementos de cualquier proyecto de datos para la toma de decisiones. Aprenderemos sobre qué implica el proceso de business intelligence en las organizaciones. Luego abordaremos cómo definir el problema, diferentes herramientas útiles para hacerlo y las diferencias entre proyectos que usan analítica tradicional de los que usan big data. Finalmente profundizaremos en el análisis basado en big data y sus enfoques, tipos y estrategias.
Módulo 3: Fuentes y tipos de datos
En este módulo aprenderemos sobre las fuentes de datos y cómo asegurarnos de obtener datos confiables y de calidad. Profundizaremos en las técnicas de recolección de datos con un enfoque de género y diversidad y en cómo preparar los datos para un adecuado análisis. También veremos la importancia de los datos abiertos y cómo pueden ser utilizados en la toma de decisiones.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Perfecto para personas interesadas en datos sin perfil técnico que desean aprender sobre la importancia del análisis de datos en la parte estratégica del negocio los sectores públicos y privados, así como los oportunidades y desafíos que se presentan
Introduce el contexto y el papel indispensable que cumplen los datos para las organizaciones, públicas y privadas, y la importancia de ser una organización data-driven
Explora los elementos de cualquier proyecto de datos para la toma de decisiones y el proceso de business intelligence en las organizaciones
Provee técnicas de recolección de datos con un enfoque de género y diversidad, y prepara los datos para un adecuado análisis
Analiza el uso de big data, sus enfoques, tipos y estrategias
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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 Uso de datos en las organizaciones del S.XXI with these
activities:
Revise basic statistics concepts
Show steps
Revisiting basic concepts in probability and statistics will help you strengthen your foundation for understanding data analysis techniques.
Browse courses on
Probability and Statistics
Show steps
-
Review the fundamental principles of probability, such as conditional probability and Bayes' theorem.
-
Go over key statistical concepts like measures of central tendency (mean, median, mode), measures of dispersion (variance, standard deviation).
Revise basic probability and statistics concepts
Show steps
Solidify your prior knowledge to better prepare you for advanced concepts
Browse courses on
Probability
Show steps
-
Review your notes from previous courses or textbooks
-
Take practice quizzes or review problem sets
-
Watch online tutorials or videos to reinforce concepts
Join a study group to discuss course concepts
Show steps
Enhance your understanding through peer-to-peer learning and exchange of ideas
Browse courses on
Collaborative Learning
Show steps
-
Find or create a study group with other students in the course
-
Meet regularly to discuss course materials, assignments, and concepts
-
Share different perspectives, ask questions, and support each other's learning
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Solve practice problems on data visualization and interpretation
Show steps
Strengthen your ability to analyze and extract insights from data
Browse courses on
Data Visualization
Show steps
-
Find practice problems online or in textbooks
-
Solve the problems and compare your answers to the provided solutions
-
Identify areas where you need improvement and focus on practicing those
Identifica conceptos clave
Show steps
Identifica y define los conceptos clave relacionados con el uso de datos en las organizaciones para mejorar tu comprensión.
Show steps
-
Lee detenidamente el material del curso
-
Subraya o resalta los términos y conceptos clave
-
Define cada concepto en tus propias palabras
Follow tutorials on data visualization
Show steps
Engaging with tutorials on data visualization will help you develop practical skills in presenting data effectively.
Browse courses on
Data Visualization
Show steps
-
Identify reputable online resources or platforms that offer tutorials on data visualization.
-
Choose a specific tutorial that aligns with your interests and skill level.
-
Follow the tutorial step-by-step, experimenting with different data sets and visualization techniques.
Develop a data collection plan for a chosen problem
Show steps
Apply the course concepts to solve a real-world problem
Browse courses on
Data Collection
Show steps
-
Identify a problem that interests you
-
Define the research question and objectives
-
Determine the type of data needed and the best methods to collect it
-
Create a plan for data collection and analysis
Solve data analysis practice problems
Show steps
Solving data analysis practice problems will enhance your analytical thinking and problem-solving abilities.
Browse courses on
Data Analysis
Show steps
-
Find online platforms or textbooks that provide practice problems in data analysis.
-
Choose a set of problems that challenge your skills and knowledge.
-
Work through the problems, applying the concepts and techniques you've learned in the course.
Follow tutorials on machine learning algorithms and applications
Show steps
Enhance your understanding of advanced techniques and practical applications
Browse courses on
Machine Learning
Show steps
-
Select tutorials that align with the course topics
-
Follow the tutorials step-by-step
-
Experiment with the code and explore different parameters
Volunteer at a non-profit organization that uses data analysis
Show steps
Volunteering at a non-profit organization will expose you to real-world data analysis applications and contribute to social good.
Browse courses on
Data-Driven Decision Making
Show steps
-
Identify non-profit organizations in your community or online that leverage data analysis.
-
Reach out to the organizations to inquire about volunteer opportunities.
-
Participate in data collection, analysis, or visualization projects under the guidance of experienced professionals.
Present your data analysis findings to a mock audience
Show steps
Develop your communication skills and learn to convey data insights effectively
Browse courses on
Data Analysis
Show steps
-
Prepare a presentation that summarizes your analysis
-
Rehearse your presentation and get feedback from peers or a mentor
-
Present your findings to a mock audience and seek their feedback
Presenta una hoja de ruta para transformar una organización basada en datos
Show steps
Crea una propuesta detallada que describa los pasos necesarios para transformar una organización en una organización basada en datos y susténtala con ejemplos y estudios de casos.
Show steps
-
Investiga organizaciones basadas en datos exitosas
-
Identifica los desafíos y oportunidades para la transformación
-
Desarrolla un plan paso a paso con métricas y plazos
-
Presenta tu propuesta y recibe comentarios
Create a data dashboard
Show steps
Creating a data dashboard will allow you to apply your data analysis skills to a practical project and develop your data storytelling abilities.
Browse courses on
Data Visualization
Show steps
-
Identify a real-world data set that interests you or aligns with your career goals.
-
Use data visualization tools to create a dashboard that effectively communicates insights and trends from the data.
-
Present your dashboard to others, explaining your design choices and the insights you gained.
Revise basic statistics concepts
Show steps
Revisiting basic concepts in probability and statistics will help you strengthen your foundation for understanding data analysis techniques.
Browse courses on
Probability and Statistics
Show steps
Show steps
Show steps
- Review the fundamental principles of probability, such as conditional probability and Bayes' theorem.
- Go over key statistical concepts like measures of central tendency (mean, median, mode), measures of dispersion (variance, standard deviation).
Revise basic probability and statistics concepts
Show steps
Solidify your prior knowledge to better prepare you for advanced concepts
Browse courses on
Probability
Show steps
Show steps
Show steps
- Review your notes from previous courses or textbooks
- Take practice quizzes or review problem sets
- Watch online tutorials or videos to reinforce concepts
Join a study group to discuss course concepts
Show steps
Enhance your understanding through peer-to-peer learning and exchange of ideas
Browse courses on
Collaborative Learning
Show steps
Show steps
Show steps
- Find or create a study group with other students in the course
- Meet regularly to discuss course materials, assignments, and concepts
- Share different perspectives, ask questions, and support each other's learning
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Solve practice problems on data visualization and interpretation
Show steps
Strengthen your ability to analyze and extract insights from data
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks
- Solve the problems and compare your answers to the provided solutions
- Identify areas where you need improvement and focus on practicing those
Identifica conceptos clave
Show steps
Identifica y define los conceptos clave relacionados con el uso de datos en las organizaciones para mejorar tu comprensión.
Show steps
Show steps
Show steps
- Lee detenidamente el material del curso
- Subraya o resalta los términos y conceptos clave
- Define cada concepto en tus propias palabras
Follow tutorials on data visualization
Show steps
Engaging with tutorials on data visualization will help you develop practical skills in presenting data effectively.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify reputable online resources or platforms that offer tutorials on data visualization.
- Choose a specific tutorial that aligns with your interests and skill level.
- Follow the tutorial step-by-step, experimenting with different data sets and visualization techniques.
Develop a data collection plan for a chosen problem
Show steps
Apply the course concepts to solve a real-world problem
Browse courses on
Data Collection
Show steps
Show steps
Show steps
- Identify a problem that interests you
- Define the research question and objectives
- Determine the type of data needed and the best methods to collect it
- Create a plan for data collection and analysis
Solve data analysis practice problems
Show steps
Solving data analysis practice problems will enhance your analytical thinking and problem-solving abilities.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find online platforms or textbooks that provide practice problems in data analysis.
- Choose a set of problems that challenge your skills and knowledge.
- Work through the problems, applying the concepts and techniques you've learned in the course.
Follow tutorials on machine learning algorithms and applications
Show steps
Enhance your understanding of advanced techniques and practical applications
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Select tutorials that align with the course topics
- Follow the tutorials step-by-step
- Experiment with the code and explore different parameters
Volunteer at a non-profit organization that uses data analysis
Show steps
Volunteering at a non-profit organization will expose you to real-world data analysis applications and contribute to social good.
Browse courses on
Data-Driven Decision Making
Show steps
Show steps
Show steps
- Identify non-profit organizations in your community or online that leverage data analysis.
- Reach out to the organizations to inquire about volunteer opportunities.
- Participate in data collection, analysis, or visualization projects under the guidance of experienced professionals.
Present your data analysis findings to a mock audience
Show steps
Develop your communication skills and learn to convey data insights effectively
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Prepare a presentation that summarizes your analysis
- Rehearse your presentation and get feedback from peers or a mentor
- Present your findings to a mock audience and seek their feedback
Presenta una hoja de ruta para transformar una organización basada en datos
Show steps
Crea una propuesta detallada que describa los pasos necesarios para transformar una organización en una organización basada en datos y susténtala con ejemplos y estudios de casos.
Show steps
Show steps
Show steps
- Investiga organizaciones basadas en datos exitosas
- Identifica los desafíos y oportunidades para la transformación
- Desarrolla un plan paso a paso con métricas y plazos
- Presenta tu propuesta y recibe comentarios
Create a data dashboard
Show steps
Creating a data dashboard will allow you to apply your data analysis skills to a practical project and develop your data storytelling abilities.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a real-world data set that interests you or aligns with your career goals.
- Use data visualization tools to create a dashboard that effectively communicates insights and trends from the data.
- Present your dashboard to others, explaining your design choices and the insights you gained.
Career center
Learners who complete Uso de datos en las organizaciones del S.XXI will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts are individuals who collect, clean, and analyze data in order to help businesses understand their customers and make better decisions. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as data collection, data analysis, and data visualization. The course also covers topics such as data ethics and data security, which are important for Data Analysts to be aware of.
Business Analyst
Business Analyst
Business Analysts help businesses improve their performance by analyzing data and making recommendations for changes. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as data analysis, problem-solving, and communication. The course also covers topics such as data ethics and data security, which are important for Business Analysts to be aware of.
Data Scientist
Data Scientist
Data Scientists are individuals who use data to build predictive models and solve complex problems. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as data analysis, machine learning, and statistical modeling. The course also covers topics such as data ethics and data security, which are important for Data Scientists to be aware of.
Data Engineer
Data Engineer
Data Engineers are individuals who design and build data systems that can handle large amounts of data. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as data architecture, data modeling, and data warehousing. The course also covers topics such as data ethics and data security, which are important for Data Engineers to be aware of.
Project Manager
Project Manager
Project Managers are individuals who plan, execute, and track projects. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as project planning, project management, and risk management. The course also covers topics such as data ethics and data security, which are important for Project Managers to be aware of.
Chief Data Officer
Chief Data Officer
Chief Data Officers are individuals who are responsible for the overall data strategy of an organization. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as data governance, data strategy, and data analytics. The course also covers topics such as data ethics and data security, which are important for Chief Data Officers to be aware of.
Data Governance Manager
Data Governance Manager
Data Governance Managers are individuals who are responsible for developing and implementing data governance policies and procedures. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as data governance, data policy, and data security. The course also covers topics such as data ethics and data privacy, which are important for Data Governance Managers to be aware of.
Data Security Analyst
Data Security Analyst
Data Security Analysts are individuals who are responsible for protecting data from security breaches. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as data security, data privacy, and data forensics. The course also covers topics such as data ethics and data governance, which are important for Data Security Analysts to be aware of.
Data Privacy Analyst
Data Privacy Analyst
Data Privacy Analysts are individuals who are responsible for ensuring that data is collected and used in accordance with privacy laws and regulations. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as data privacy, data ethics, and data governance. The course also covers topics such as data security and data breaches, which are important for Data Privacy Analysts to be aware of.
Data Architect
Data Architect
Data Architects are individuals who design and build data systems that can handle large amounts of data. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as data architecture, data modeling, and data warehousing. The course also covers topics such as data ethics and data security, which are important for Data Architects to be aware of.
Database Administrator
Database Administrator
Database Administrators are individuals who are responsible for managing and maintaining databases. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as database management, data recovery, and data security. The course also covers topics such as data ethics and data governance, which are important for Database Administrators to be aware of.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists are individuals who are responsible for creating visual representations of data. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as data visualization, data storytelling, and data communication. The course also covers topics such as data ethics and data security, which are important for Data Visualization Specialists to be aware of.
Data Management Specialist
Data Management Specialist
Data Management Specialists are individuals who are responsible for managing data throughout its lifecycle. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as data management, data quality, and data governance. The course also covers topics such as data ethics and data security, which are important for Data Management Specialists to be aware of.
Data Integration Specialist
Data Integration Specialist
Data Integration Specialists are individuals who are responsible for integrating data from different sources. The Uso de datos en las organizaciones del S.XXI course can help individuals develop the skills needed to be successful in this role, such as data integration, data quality, and data governance. The course also covers topics such as data ethics and data security, which are important for Data Integration Specialists to be aware of.
For more career information including salaries, visit:
OpenCourser.com/course/1tbf3j/uso
Reading list
We've selected eight 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
Uso de datos en las organizaciones del S.XXI.
Save
Este libro proporciona una guía práctica para comprender y utilizar el big data, cubriendo desde la planificación estratégica hasta la integración empresarial.
Este libro proporciona una visión general de la inteligencia empresarial, cubriendo conceptos, herramientas y mejores prácticas.
Save
Este libro ofrece una guía accesible a la estadística, cubriendo conceptos esenciales y su aplicación en la toma de decisiones.
Este libro ofrece una introducción accesible a la inteligencia artificial, cubriendo conceptos, aplicaciones y consideraciones éticas.
Save
Este libro es un recurso completo y técnico sobre el aprendizaje profundo, cubriendo fundamentos, algoritmos y aplicaciones.
Este libro proporciona una guía práctica para la ciencia de datos con Python, cubriendo técnicas, bibliotecas y aplicaciones.
Este libro ofrece una guía práctica para el big data analytics, cubriendo herramientas, técnicas y mejores prácticas.
Este libro proporciona una introducción a la ciencia de datos para profesionales de negocios, cubriendo conceptos y aplicaciones.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1tbf3j/uso
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Effort
3 semanas de estudio, 5 horas/semana
Level
Introductory
Via
Coursera
Institution
Banco Interamericano de Desarrollo
Instructor
Juan Cristóbal Bonnefoy
Language
Español
This course belongs to a
collection
called
Organizaciones data-driven: principios y prácticas. It's comprised of three courses:
- Estrategias efectivas en organizaciones data-driven
- Gestiona un proyecto de datos en tu organización
- Uso de datos en las organizaciones del S.XXI (viewing)
Good to know
Perfecto para personas interesadas en datos sin perfil técnico que desean aprender sobre la importancia del análisis de datos en la parte estratégica del negocio los sectores públicos y privados, así como los oportunidades y desafíos que se presentan
Introduce el contexto y el papel indispensable que cumplen los datos para las organizaciones, públicas y privadas, y la importancia de ser una organización data-driven
Explora los elementos de cualquier proyecto de datos para la toma de decisiones y el proceso de business intelligence en las organizaciones
Provee técnicas de recolección de datos con un enfoque de género y diversidad, y prepara los datos para un adecuado análisis
Analiza el uso de big data, sus enfoques, tipos y estrategias
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