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Data Analytics en Power BI

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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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

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

Coming soon We're preparing activities for Data Analytics en Power BI . These are activities you can do either before, during, or after a course.

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 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 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
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 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
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 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 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 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 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 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 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 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 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 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 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.

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.
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.
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.

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