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Leire Ahedo
Este proyecto es un curso práctico y efectivo para aprender todo lo que necesitas saber de Data Analytics en Power BI. Te permitirá aprender a realizar funciones analíticas de datos, a identificar outliers, a aplicar técnicas de clustering y series temporales, a analizar los quick insights y AI insights, entre otros.
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OpenCourser.com/course/opih42/data
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What's inside
Syllabus
Data Analytics en Power BI
En este curso se aprenderá a utilizar la herramienta de visualización de Power BI Desktop de Microsoft.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Curso práctico que permite aprender sobre Data Analytics en Power BI
Enseña cómo realizar funciones analíticas de datos usando Microsoft Power BI Desktop
Ideal para personas que buscan desarrollar habilidades en Análisis de Datos utilizando Power BI
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Reviews summary
Data analytics in power bi: practical and effective course
This course on Data Analytics in Power BI is highly rated by students who appreciate the practical and effective approach. It is recommended as an excellent course for those looking to learn data analytics functions, identify outliers, apply clustering techniques and time series, and analyze insights. While some students have encountered technical difficulties with the Rhyme platform used for activities, the overall consensus is that this is a valuable course.
Excelente que Coursera haya creado un curso en español.
"Me parece excelente que Coursera haya creado un curso en español porque la mayoría de los cursos son inglés. Felicidades por esta iniciativa."
Claro y concreto.
"Claro y concreto"
Habilidades ganadas son increíblemente funcionales para el análisis de datos.
"El Proyecto es muy bueno, las temáticas son interesantes las explicaciones son justas y las habilidades ganadas son increíblemente funcionales para el análisis de datos..."
Practical and effective course.
"Este proyecto es un curso práctico y efectivo para aprender todo lo que necesitas saber de Data Analytics en Power BI."
Visualización se pierde y hay que utilizar la lupa.
"El Proyecto es muy bueno, las temáticas son interesantes las explicaciones son justas y las habilidades ganadas son increíblemente funcionales para el análisis de datos, pero es necesario mejorar en la plataforma en donde se realizan las actividades, ya que a menos que uno tenga un TV gigante la visualización se pierde y hay que utilizar la lupa o magnifier para poder observar todo a detalle..."
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 Data Analytics en Power BI with these
activities:
Compilar y revisar materiales del curso
Show steps
Mejora la retención y el entendimiento revisando regularmente los materiales proporcionados en el curso, como notas, presentaciones y recursos adicionales.
Browse courses on
Power BI
Show steps
-
Descarga y organiza los materiales del curso.
-
Revisa los materiales periódicamente para reforzar los conceptos.
Crear una colección de recursos de Power BI
Show steps
Organiza y recopila recursos valiosos relacionados con Power BI, como tutoriales, artículos y documentación, para facilitar el acceso y la referencia.
Browse courses on
Power BI
Show steps
-
Busca en línea recursos relevantes y de alta calidad.
-
Clasifica y organiza los recursos en diferentes categorías.
-
Crea un documento o una lista digital consolidada.
Realizar ejercicios de análisis de datos
Show steps
Refuerza los conceptos de análisis de datos practicando la identificación de tendencias, valores atípicos y otras características importantes.
Browse courses on
Power BI
Show steps
-
Carga un conjunto de datos en Power BI Desktop.
-
Explora los datos utilizando gráficos y tablas.
-
Identifica patrones y tendencias en los datos.
-
Aplica técnicas de análisis de datos para extraer información valiosa.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Participar en sesiones de estudio en grupo
Show steps
Mejora tu comprensión y resolución de problemas colaborando con compañeros y discutiendo conceptos, técnicas y proyectos relacionados con Power BI.
Browse courses on
Power BI
Show steps
-
Forma o únete a un grupo de estudio con otros estudiantes del curso.
-
Establece un horario regular para las sesiones de estudio.
-
Prepara temas y preguntas para discutir.
-
Comparte conocimientos, ideas y perspectivas.
Seguir tutoriales sobre técnicas avanzadas de Power BI
Show steps
Amplía tus habilidades aprendiendo técnicas avanzadas de Power BI, como el análisis de series temporales y el clustering, para obtener información más profunda de tus datos.
Browse courses on
Clustering
Show steps
-
Busca tutoriales en línea o en plataformas como YouTube.
-
Selecciona tutoriales que se centren en técnicas específicas que desees aprender.
-
Sigue los pasos del tutorial y aplica las técnicas a tus propios conjuntos de datos.
-
Experimenta con diferentes opciones y personalizaciones para optimizar tus resultados.
Desarrollar un panel de Power BI
Show steps
Aplica tus habilidades creando un panel de Power BI interactivo y completo que resuma y presente los hallazgos clave de tu análisis de datos.
Show steps
-
Define los objetivos y el público objetivo de tu panel.
-
Selecciona los datos y las métricas relevantes.
-
Diseña y crea visualizaciones efectivas.
-
Organiza y presenta los datos de manera clara y concisa.
Contribuir a proyectos de código abierto relacionados con Power BI
Show steps
Amplía tus habilidades y conocimientos colaborando en proyectos de código abierto que utilizan Power BI, lo que te permitirá aprender de otros desarrolladores y contribuir a la comunidad.
Browse courses on
Power BI
Show steps
-
Busca proyectos de código abierto relacionados con Power BI en plataformas como GitHub.
-
Identifica áreas donde puedes contribuir, como correcciones de errores o nuevas funciones.
-
Sigue las pautas del proyecto y colabora con otros desarrolladores.
-
Presenta solicitudes de extracción y comunica tus cambios.
Compilar y revisar materiales del curso
Show steps
Mejora la retención y el entendimiento revisando regularmente los materiales proporcionados en el curso, como notas, presentaciones y recursos adicionales.
Browse courses on
Power BI
Show steps
Show steps
Show steps
- Descarga y organiza los materiales del curso.
- Revisa los materiales periódicamente para reforzar los conceptos.
Crear una colección de recursos de Power BI
Show steps
Organiza y recopila recursos valiosos relacionados con Power BI, como tutoriales, artículos y documentación, para facilitar el acceso y la referencia.
Browse courses on
Power BI
Show steps
Show steps
Show steps
- Busca en línea recursos relevantes y de alta calidad.
- Clasifica y organiza los recursos en diferentes categorías.
- Crea un documento o una lista digital consolidada.
Realizar ejercicios de análisis de datos
Show steps
Refuerza los conceptos de análisis de datos practicando la identificación de tendencias, valores atípicos y otras características importantes.
Browse courses on
Power BI
Show steps
Show steps
Show steps
- Carga un conjunto de datos en Power BI Desktop.
- Explora los datos utilizando gráficos y tablas.
- Identifica patrones y tendencias en los datos.
- Aplica técnicas de análisis de datos para extraer información valiosa.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Participar en sesiones de estudio en grupo
Show steps
Mejora tu comprensión y resolución de problemas colaborando con compañeros y discutiendo conceptos, técnicas y proyectos relacionados con Power BI.
Browse courses on
Power BI
Show steps
Show steps
Show steps
- Forma o únete a un grupo de estudio con otros estudiantes del curso.
- Establece un horario regular para las sesiones de estudio.
- Prepara temas y preguntas para discutir.
- Comparte conocimientos, ideas y perspectivas.
Seguir tutoriales sobre técnicas avanzadas de Power BI
Show steps
Amplía tus habilidades aprendiendo técnicas avanzadas de Power BI, como el análisis de series temporales y el clustering, para obtener información más profunda de tus datos.
Browse courses on
Clustering
Show steps
Show steps
Show steps
- Busca tutoriales en línea o en plataformas como YouTube.
- Selecciona tutoriales que se centren en técnicas específicas que desees aprender.
- Sigue los pasos del tutorial y aplica las técnicas a tus propios conjuntos de datos.
- Experimenta con diferentes opciones y personalizaciones para optimizar tus resultados.
Desarrollar un panel de Power BI
Show steps
Aplica tus habilidades creando un panel de Power BI interactivo y completo que resuma y presente los hallazgos clave de tu análisis de datos.
Show steps
Show steps
Show steps
- Define los objetivos y el público objetivo de tu panel.
- Selecciona los datos y las métricas relevantes.
- Diseña y crea visualizaciones efectivas.
- Organiza y presenta los datos de manera clara y concisa.
Contribuir a proyectos de código abierto relacionados con Power BI
Show steps
Amplía tus habilidades y conocimientos colaborando en proyectos de código abierto que utilizan Power BI, lo que te permitirá aprender de otros desarrolladores y contribuir a la comunidad.
Browse courses on
Power BI
Show steps
Show steps
Show steps
- Busca proyectos de código abierto relacionados con Power BI en plataformas como GitHub.
- Identifica áreas donde puedes contribuir, como correcciones de errores o nuevas funciones.
- Sigue las pautas del proyecto y colabora con otros desarrolladores.
- Presenta solicitudes de extracción y comunica tus cambios.
Career center
Learners who complete Data Analytics en Power BI will develop knowledge and skills
that may be useful to these careers:
Insurance Analyst
Insurance Analyst
Insurance Analysts use data analysis to assess and manage insurance risks. They use their expertise in data analysis, including techniques like those taught in this course, to identify trends, patterns, and opportunities in data. This course provides a foundation for success as an Insurance Analyst by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as an Insurance Analyst.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data analysis to improve the efficiency and effectiveness of organizations. They use their expertise in data analysis, including techniques like those taught in this course, to identify trends, patterns, and opportunities in data. This course provides a foundation for success as an Operations Research Analyst by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as an Operations Research Analyst.
Statistician
Statistician
Statisticians use data analysis to collect, analyze, and interpret data. They use their expertise in statistical methods to draw conclusions and make predictions. This course provides a foundation for success as a Statistician by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as a Statistician.
Risk Analyst
Risk Analyst
Risk Analysts use data analysis to identify and assess risks. They use their expertise in data analysis, including techniques like those taught in this course, to identify trends, patterns, and opportunities in data. This course provides a foundation for success as a Risk Analyst by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as a Risk Analyst.
Actuary
Actuary
Actuaries use data analysis to assess and manage financial risks. They use their expertise in data analysis, including techniques like those taught in this course, to identify trends, patterns, and opportunities in data. This course provides a foundation for success as an Actuary by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as an Actuary.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data analysis to help businesses understand their performance and make better decisions. They use their skills in data analysis, including techniques like those taught in this course, to identify trends, patterns, and opportunities in data. This course provides a foundation for success as a Business Intelligence Analyst by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as a Business Intelligence Analyst.
Market Research Analyst
Market Research Analyst
Market Research Analysts use data analysis to understand consumer behavior and market trends. They use their expertise in data analysis, including techniques like those taught in this course, to identify trends, patterns, and opportunities in data. This course provides a foundation for success as a Market Research Analyst by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as a Market Research Analyst.
Data Scientist
Data Scientist
Data Scientists use data analysis to solve complex business problems. They use their expertise in data analysis, machine learning, and artificial intelligence to build models that can predict future outcomes and make recommendations. This course provides a foundation for success as a Data Scientist by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as a Data Scientist.
Data Analyst
Data Analyst
Data Analysts gather, interpret, and present data to help organizations make better decisions. They use their expertise in data analysis, including techniques like those taught in this course, to identify trends, patterns, and outliers in data. This course provides a foundation for success as a Data Analyst by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as a Data Analyst.
Financial Analyst
Financial Analyst
Financial Analysts use data analysis to evaluate investments and make recommendations. They use their expertise in data analysis, including techniques like those taught in this course, to identify trends, patterns, and opportunities in data. This course provides a foundation for success as a Financial Analyst by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as a Financial Analyst.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their expertise in data analysis and programming to build software that is efficient, reliable, and user-friendly. This course provides a foundation for success as a Software Engineer by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as a Software Engineer.
Computer Scientist
Computer Scientist
Computer Scientists research and develop new computer technologies. They use their expertise in data analysis and computer science to design and build new systems and applications. This course provides a foundation for success as a Computer Scientist by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as a Computer Scientist.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data systems. They use their expertise in data analysis and data management to ensure that data is accurate, reliable, and accessible. This course provides a foundation for success as a Data Engineer by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as a Data Engineer.
Data Architect
Data Architect
Data Architects design and manage data systems. They use their expertise in data analysis and data management to ensure that data is organized, accessible, and secure. This course provides a foundation for success as a Data Architect by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as a Data Architect.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. They use their expertise in data management and data analysis to ensure that databases are efficient, reliable, and secure. This course provides a foundation for success as a Database Administrator by introducing key data analysis concepts, including outlier identification, clustering, and time series analysis. The skills gained in this course will be highly valuable for anyone interested in pursuing a career as a Database Administrator.
For more career information including salaries, visit:
OpenCourser.com/course/opih42/data
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
Data Analytics en Power BI .
Este libro presenta una visión completa del análisis de datos con Power BI. Cubre técnicas avanzadas como el aprendizaje automático, la inteligencia artificial y el análisis de series temporales.
Save
Este libro combina Power BI y Excel para el análisis de datos. Presenta técnicas avanzadas como el modelado de datos, la inteligencia artificial y el análisis de series temporales en ambos entornos.
Este libro es una colección de recetas paso a paso para el uso de Power BI para el análisis de datos. Cubre una amplia gama de temas, desde la conexión a los datos hasta la creación de visualizaciones interactivas.
Save
Este libro ofrece estrategias y técnicas avanzadas para aprovechar al máximo Power BI. Es adecuado para usuarios experimentados que buscan mejorar sus habilidades de análisis de datos.
Este libro es una introducción completa al uso de Power BI. Cubre los conceptos básicos de Power BI, desde la conexión a los datos hasta la creación de informes y paneles interactivos.
Este libro de texto proporciona una base sólida en los principios y técnicas del análisis de datos. Es beneficioso para los estudiantes que buscan una comprensión más amplia del campo.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/opih42/data
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Effort
2 horas
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Leire Ahedo
Language
Español
Good to know
Curso práctico que permite aprender sobre Data Analytics en Power BI
Enseña cómo realizar funciones analíticas de datos usando Microsoft Power BI Desktop
Ideal para personas que buscan desarrollar habilidades en Análisis de Datos utilizando Power BI
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