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Leire Ahedo
Este proyecto es un curso práctico y efectivo para aprender todo lo que necesitas saber acerca de como crear e integrar modelos de clasificación de autoML en Power BI. No solo aprenderás, de manera practica, a generar y evaluar los modelos de clasificación de autoML. Sino que además aprenderás a integrarlos y a utilizarlos dentro de tus dashboards de Power BI.
Register for this course and see more details by visiting:
OpenCourser.com/course/ifyzk1/automated
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What's inside
Syllabus
automated Machine Learning en Microsoft Power BI. Clasificación
En este curso se aprenderá a utilizar Pycaret para generar modelos de clasificación de autoML y a utilizar esos modelos en Power BI
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Diseñado para principiantes que buscan aprender sobre modelos de clasificación de AutoML en Power BI
Enseña Pycaret, una biblioteca poderosa para generar modelos de AutoML
Requiere conocimientos previos en Power BI
Cubre la integración de modelos de AutoML en paneles de Power BI
Save this course
Save Automated Machine Learning en Power BI Clasificación to your list so you can find it easily later:
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Reviews summary
Ml para power bi
This course has 3 reviews and all of them are very positive. Students particularly appreciate the practical approach of lessons and that they are able to apply what they learn within Power BI.
Students were very happy with the course
"EXELENTE"
"muy bueno"
Lessons help you apply ML within Power BI
"... los felicito y muy útil para empezar a entender el entorno de Machine Learning y sus usos en Power BI y sus aplicativos..."
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 Automated Machine Learning en Power BI Clasificación with these
activities:
Crea un ejemplo de modelo de clasificación con PyCaret
Show steps
Fortalece tus habilidades en la creación de modelos de clasificación utilizando Pycaret.
Browse courses on
Pycaret
Show steps
-
Instala Pycaret e importa tus datos
-
Crea un modelo de clasificación utilizando el clasificador de árboles de decisión
-
Evalúa el rendimiento del modelo
Explora tutoriales avanzados sobre modelos de clasificación de autoML
Show steps
Amplía tus conocimientos y habilidades explorando tutoriales avanzados que cubren técnicas y algoritmos avanzados de clasificación de autoML.
Browse courses on
AutoML
Show steps
-
Identifica tutoriales relevantes
-
Sigue los tutoriales y completa los ejercicios
-
Aplica los conceptos a tus propios proyectos
Amplía tu portafolio: Crea un proyecto de integración de modelos de clasificación en Power BI
Show steps
Aplica tus habilidades y conocimientos creando un proyecto de integración de modelos de clasificación en Power BI, ampliando tu portafolio y consolidando tu comprensión.
Browse courses on
Power BI
Show steps
-
Define los objetivos y el alcance del proyecto
-
Recopila datos y prepara el conjunto de datos
-
Crea e integra modelos de clasificación utilizando Power BI
-
Desarrolla visualizaciones y paneles interactivos
One other activity
Expand to see all activities and additional details
Show all four activities
Contribuye a proyectos de código abierto relacionados con la clasificación de autoML
Show steps
Fortalece tus habilidades prácticas y expande tus conocimientos contribuyendo a proyectos de código abierto relacionados con la clasificación de autoML.
Show steps
-
Identifica proyectos relevantes de código abierto
-
Familiarízate con la base de código y las pautas de contribución
-
Identifica áreas donde puedes contribuir, como depuración o mejora de características
-
Envía solicitudes de extracción y colabora con los mantenedores del proyecto
Crea un ejemplo de modelo de clasificación con PyCaret
Show steps
Fortalece tus habilidades en la creación de modelos de clasificación utilizando Pycaret.
Browse courses on
Pycaret
Show steps
Show steps
Show steps
- Instala Pycaret e importa tus datos
- Crea un modelo de clasificación utilizando el clasificador de árboles de decisión
- Evalúa el rendimiento del modelo
Explora tutoriales avanzados sobre modelos de clasificación de autoML
Show steps
Amplía tus conocimientos y habilidades explorando tutoriales avanzados que cubren técnicas y algoritmos avanzados de clasificación de autoML.
Browse courses on
AutoML
Show steps
Show steps
Show steps
- Identifica tutoriales relevantes
- Sigue los tutoriales y completa los ejercicios
- Aplica los conceptos a tus propios proyectos
Amplía tu portafolio: Crea un proyecto de integración de modelos de clasificación en Power BI
Show steps
Aplica tus habilidades y conocimientos creando un proyecto de integración de modelos de clasificación en Power BI, ampliando tu portafolio y consolidando tu comprensión.
Browse courses on
Power BI
Show steps
Show steps
Show steps
- Define los objetivos y el alcance del proyecto
- Recopila datos y prepara el conjunto de datos
- Crea e integra modelos de clasificación utilizando Power BI
- Desarrolla visualizaciones y paneles interactivos
One other activity
Expand to see all activities and additional details
Show all four activities
Contribuye a proyectos de código abierto relacionados con la clasificación de autoML
Show steps
Fortalece tus habilidades prácticas y expande tus conocimientos contribuyendo a proyectos de código abierto relacionados con la clasificación de autoML.
Show steps
Show steps
Show steps
- Identifica proyectos relevantes de código abierto
- Familiarízate con la base de código y las pautas de contribución
- Identifica áreas donde puedes contribuir, como depuración o mejora de características
- Envía solicitudes de extracción y colabora con los mantenedores del proyecto
Career center
Learners who complete Automated Machine Learning en Power BI Clasificación will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts work with data to help organizations make informed decisions. They translate raw data into meaningful insights, which can be used to improve business processes, increase revenue, and more. This course can help equip individuals with the skills needed to become a successful Data Analyst by providing them with hands-on experience in generating and evaluating autoML classification models in Power BI. The course may also help learners build a foundation in automated Machine Learning, which is increasingly being used in data analysis.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers focus on the development and maintenance of machine learning models. They work to ensure that models are accurate, efficient, and scalable. This course may be helpful for individuals looking to enter this field by providing them with hands-on experience in building and deploying autoML classification models in Power BI.
Data Scientist
Data Scientist
Data Scientists use a variety of tools and techniques to extract insights from data. They work on a wide range of projects, from developing new products and services to improving customer experience. This course may be beneficial for individuals seeking a career in Data Science by providing them with hands-on experience in building and deploying autoML classification models in Power BI.
Business Analyst
Business Analyst
Business Analysts work with businesses to improve their operations. They analyze data, identify problems, and develop solutions. This course may be helpful for individuals looking to become Business Analysts by providing them with hands-on experience in using autoML classification models in Power BI to solve business problems.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts specialize in presenting complex data in a way that is easy to understand. They work with businesses to create visual representations of data that can help them make better decisions. This course may be helpful for individuals looking to become Data Visualization Analysts by providing them with hands-on experience in using autoML classification models in Power BI to create visualizations.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work on a wide range of projects, from developing new applications to improving existing ones. This course may be beneficial for individuals looking to become Software Engineers by providing them with hands-on experience in using autoML classification models in Power BI.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They analyze data, identify trends, and develop insights that can be used to improve business performance. This course may be helpful for individuals looking to become Business Intelligence Analysts by providing them with hands-on experience in using autoML classification models in Power BI to analyze data and develop insights.
Database Administrator
Database Administrator
Database Administrators ensure that databases are running smoothly and efficiently. They work with a variety of databases, including relational databases, NoSQL databases, and cloud databases. This course may be beneficial for individuals looking to become Database Administrators by providing them with hands-on experience in using autoML classification models in Power BI to manage databases.
Data Architect
Data Architect
Data Architects design and implement data management solutions. They work with businesses to create data architectures that can support their business needs. This course may be helpful for individuals looking to become Data Architects by providing them with hands-on experience in using autoML classification models in Power BI to design data architectures.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. They work with a variety of stakeholders to ensure that projects are completed on time, within budget, and to the required quality standards. This course may be beneficial for individuals looking to become Project Managers by providing them with hands-on experience in using autoML classification models in Power BI to manage projects.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. They work with a variety of stakeholders to ensure that documentation is accurate, clear, and easy to understand. This course may be helpful for individuals looking to become Technical Writers by providing them with hands-on experience in using autoML classification models in Power BI to create and maintain technical documentation.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to help businesses understand their customers and develop effective marketing campaigns. They analyze data to identify trends, develop insights, and make recommendations to improve marketing performance. This course may be helpful for individuals looking to become Marketing Analysts by providing them with hands-on experience in using autoML classification models in Power BI to analyze data and develop insights.
Financial Analyst
Financial Analyst
Financial Analysts use data to help businesses make informed financial decisions. They analyze data to identify trends, develop insights, and make recommendations to improve financial performance. This course may be helpful for individuals looking to become Financial Analysts by providing them with hands-on experience in using autoML classification models in Power BI to analyze data and develop insights.
Sales Analyst
Sales Analyst
Sales Analysts use data to help businesses understand their sales performance and identify opportunities for improvement. They analyze data to identify trends, develop insights, and make recommendations to improve sales performance. This course may be helpful for individuals looking to become Sales Analysts by providing them with hands-on experience in using autoML classification models in Power BI to analyze data and develop insights.
Operations Analyst
Operations Analyst
Operations Analysts use data to help businesses improve their operations. They analyze data to identify inefficiencies, develop insights, and make recommendations to improve operational performance. This course may be helpful for individuals looking to become Operations Analysts by providing them with hands-on experience in using autoML classification models in Power BI to analyze data and develop insights.
For more career information including salaries, visit:
OpenCourser.com/course/ifyzk1/automated
Reading list
We've selected nine 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
Automated Machine Learning en Power BI Clasificación.
Save
Free online course that provides a comprehensive introduction to machine learning. It good choice for those who want to learn the basics of machine learning or who want to apply machine learning techniques to their own projects.
Save
Provides a quick and easy introduction to Power BI, and it good choice for those who want to learn the basics of Power BI or who want to create their own Power BI reports.
Provides a comprehensive introduction to data science, and it good choice for those who want to learn the basics of data science or who want to apply data science techniques to their own projects.
Provides a practical introduction to machine learning using Python. It good choice for those who want to learn the basics of machine learning or who want to apply machine learning techniques to their own projects.
Save
Este libro proporciona una perspectiva bayesiana y de optimización del aprendizaje automático. Cubre los fundamentos teóricos y los algoritmos asociados, lo que lo convierte en una lectura valiosa para aquellos interesados en una comprensión más profunda del aprendizaje automático.
Comprehensive guide to Python programming, and it is particularly useful for beginners. It great choice for those who want to learn the basics of Python or who want to brush up on their skills.
Este libro ofrece un enfoque integral del aprendizaje automático. Cubre los conceptos fundamentales, los algoritmos y las aplicaciones del aprendizaje automático, lo que lo convierte en un recurso valioso para lectores con diversos niveles de experiencia.
Save
Este libro ofrece una descripción general concisa del aprendizaje automático. Cubre los conceptos fundamentales y los algoritmos de manera clara y concisa, lo que lo convierte en un recurso útil para estudiantes y profesionales.
Este libro ofrece una introducción fácil de entender al aprendizaje automático. Está escrito en un lenguaje sencillo y proporciona ejemplos prácticos, lo que lo hace accesible para lectores no técnicos.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ifyzk1/automated
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Effort
2 horas
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Leire Ahedo
Language
Español
Good to know
Diseñado para principiantes que buscan aprender sobre modelos de clasificación de AutoML en Power BI
Enseña Pycaret, una biblioteca poderosa para generar modelos de AutoML
Requiere conocimientos previos en Power BI
Cubre la integración de modelos de AutoML en paneles de Power BI
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