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Leire Ahedo
Este proyecto es un curso práctico y efectivo para aprender a integrar modelos de Machine Learning en tus dashboards de Power BI Desktop. Aprenderás, de manera practica y efectiva a generar y evaluar diferentes tipos de modelos de ML como: clasificación, regresión, reglas de asociación, clustering y detección de anomalías.
Register for this course and see more details by visiting:
OpenCourser.com/course/f9a3id/curso
What's inside
Syllabus
Curso Completo de Machine Learning en Microsoft Power BI Desktop
En este curso se aprenderá a utilizar Pycaret para generar diferentes tipos de modelos de ML en Power BI Desktop
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Se enfoca en desarrollar habilidades y conocimientos en inteligencia artificial, lo que se alinea con las tendencias actuales de la industria
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Save Curso Completo de Machine Learning en Microsoft Power BI to your list so you can find it easily later:
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Reviews summary
Effective power bi machine learning
This course on Machine Learning in Power BI is informative and offers practical experience with the Pycaret library. Students have reported enjoying the course, finding that it comprises useful examples and clear explanations, despite feeling that the Pycaret library could be better detailed.
The course allows for hands-on learning.
"Excelente practica y muy buenos ejemplos guiados con respuestas"
The course's explanations are easy to understand.
"Excelente explicación"
The course could provide more detail on the Pycaret library.
"Me gustó aunque falta un poco de detalle acerca de la librería Pycaret"
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 Curso Completo de Machine Learning en Microsoft Power BI with these
activities:
Revise data analysis fundamentals
Show steps
Start by revisiting the basics of data analysis to strengthen your understanding and foundation before diving into machine learning models.
Browse courses on
Data Analysis
Show steps
-
Review statistical concepts
-
Practice data cleaning and preparation techniques
-
Explore different data visualization methods
Tutoriales PyCaret
Show steps
Seguir tutoriales sobre PyCaret proporcionará una comprensión más profunda de cómo utilizar la biblioteca para generar modelos de ML.
Browse courses on
Pycaret
Show steps
-
Seleccionar tutoriales relevantes sobre PyCaret y trabajarlos.
Sesiones de discusión en grupo
Show steps
Participar en discusiones grupales permitirá intercambiar ideas, aclarar conceptos y reforzar el aprendizaje.
Browse courses on
Machine Learning
Show steps
-
Participar activamente en sesiones de discusión en grupo.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Ejercicios de clasificación
Show steps
Practicar técnicas de clasificación ayudará a comprender el funcionamiento de los modelos de ML para tareas de clasificación.
Browse courses on
Machine Learning
Show steps
-
Resolver ejercicios de clasificación práctica.
Ejercicios de regresión
Show steps
Practicar técnicas de regresión ayudará a comprender el funcionamiento de los modelos de ML para tareas de regresión.
Browse courses on
Machine Learning
Show steps
-
Resolver ejercicios de regresión práctica.
Ejercicios de detección de anomalías
Show steps
Practicar técnicas de detección de anomalías ayudará a comprender el funcionamiento de los modelos de ML para tareas de detección de anomalías.
Browse courses on
Machine Learning
Show steps
-
Resolver ejercicios de detección de anomalías práctica.
Ejercicios de clustering
Show steps
Practicar técnicas de clustering ayudará a comprender el funcionamiento de los modelos de ML para tareas de clustering.
Browse courses on
Clustering
Show steps
-
Resolver ejercicios de clustering práctica.
Ejercicios de reglas de asociación
Show steps
Practicar técnicas de reglas de asociación ayudará a comprender el funcionamiento de los modelos de ML para tareas de reglas de asociación.
Browse courses on
Machine Learning
Show steps
-
Resolver ejercicios de reglas de asociación práctica.
Revise data analysis fundamentals
Show steps
Start by revisiting the basics of data analysis to strengthen your understanding and foundation before diving into machine learning models.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Review statistical concepts
- Practice data cleaning and preparation techniques
- Explore different data visualization methods
Tutoriales PyCaret
Show steps
Seguir tutoriales sobre PyCaret proporcionará una comprensión más profunda de cómo utilizar la biblioteca para generar modelos de ML.
Browse courses on
Pycaret
Show steps
Show steps
Show steps
- Seleccionar tutoriales relevantes sobre PyCaret y trabajarlos.
Sesiones de discusión en grupo
Show steps
Participar en discusiones grupales permitirá intercambiar ideas, aclarar conceptos y reforzar el aprendizaje.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Participar activamente en sesiones de discusión en grupo.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Ejercicios de clasificación
Show steps
Practicar técnicas de clasificación ayudará a comprender el funcionamiento de los modelos de ML para tareas de clasificación.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Resolver ejercicios de clasificación práctica.
Ejercicios de regresión
Show steps
Practicar técnicas de regresión ayudará a comprender el funcionamiento de los modelos de ML para tareas de regresión.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Resolver ejercicios de regresión práctica.
Ejercicios de detección de anomalías
Show steps
Practicar técnicas de detección de anomalías ayudará a comprender el funcionamiento de los modelos de ML para tareas de detección de anomalías.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Resolver ejercicios de detección de anomalías práctica.
Ejercicios de clustering
Show steps
Practicar técnicas de clustering ayudará a comprender el funcionamiento de los modelos de ML para tareas de clustering.
Browse courses on
Clustering
Show steps
Show steps
Show steps
- Resolver ejercicios de clustering práctica.
Ejercicios de reglas de asociación
Show steps
Practicar técnicas de reglas de asociación ayudará a comprender el funcionamiento de los modelos de ML para tareas de reglas de asociación.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Resolver ejercicios de reglas de asociación práctica.
Career center
Learners who complete Curso Completo de Machine Learning en Microsoft Power BI will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use machine learning to solve complex business problems. They use data to build models that can predict future events, identify patterns, and make recommendations. This course can be useful for people aspiring to become Data Scientists because it will teach them how to use machine learning in Power BI, which is a popular tool for data analysis and visualization.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists use data to create visual representations of data. They work with data analysts and other data professionals to communicate insights to stakeholders. This course can be useful for people aspiring to become Data Visualization Specialists because it will teach them how to use machine learning to automate data visualization tasks and create more effective visualizations.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the infrastructure that is used to store and process data. They work with data scientists and other data professionals to ensure that data is available and accessible for analysis. This course can be useful for people aspiring to become Data Engineers because it will teach them how to use machine learning to automate data engineering tasks and improve data quality.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and implement machine learning models. They also work with data scientists to gather and prepare data for training models. This course can be useful for people aspiring to become Machine Learning Engineers because it will teach them how to use Microsoft Power BI to integrate machine learning models into their dashboards.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to develop and implement mathematical models to solve financial problems. They work with investment banks, hedge funds, and other financial institutions to make investment decisions. This course can be useful for people aspiring to become Quantitative Analysts because it will teach them how to use machine learning to automate data analysis tasks and gain more accurate insights.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to provide insights into complex issues. They work with researchers to design studies and analyze data to answer research questions. This course can be useful for people aspiring to become Statisticians because it will teach them how to use machine learning to automate data analysis tasks and gain more accurate insights.
Management Analyst
Management Analyst
Management Analysts use data to improve the efficiency and effectiveness of organizations. They work with managers to identify problems and develop solutions. This course can be useful for people aspiring to become Management Analysts because it will teach them how to use machine learning to automate data analysis tasks and gain more accurate insights.
Business Analyst
Business Analyst
Business Analysts use data to improve business processes and make better decisions. They work with stakeholders to identify problems and develop solutions. This course can be useful for people aspiring to become Business Analysts because it will teach them how to use machine learning to automate data analysis tasks and gain more accurate insights.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to develop and implement mathematical models to improve the efficiency and effectiveness of organizations. They work with managers to identify problems and develop solutions. This course can be useful for people aspiring to become Operations Research Analysts because it will teach them how to use machine learning to automate data analysis tasks and gain more accurate insights.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and assess risks. They work with businesses to develop and implement strategies to mitigate risks. This course can be useful for people aspiring to become Risk Analysts because it will teach them how to use machine learning to automate data analysis tasks and gain more accurate insights.
Financial Analyst
Financial Analyst
Financial Analysts use data to evaluate the financial health of companies and make investment recommendations. They work with investors to help them make informed decisions about their investments. This course can be useful for people aspiring to become Financial Analysts because it will teach them how to use machine learning to automate data analysis tasks and gain more accurate insights.
Data Analyst
Data Analyst
Data Analysts use data to help businesses make better decisions. They collect, clean, and analyze data to extract meaningful insights. This course can be useful for people aspiring to become Data Analysts because it will teach them how to use machine learning to automate data analysis tasks and gain more accurate insights.
Actuary
Actuary
Actuaries use data to assess and manage risk. They work with insurance companies, pension funds, and other financial institutions to develop and implement policies that protect against financial losses. This course can be useful for people aspiring to become Actuaries because it will teach them how to use machine learning to automate data analysis tasks and gain more accurate insights.
Market Researcher
Market Researcher
Market Researchers collect and analyze data to understand consumer behavior and market trends. They use this information to help businesses make better marketing decisions. This course can be useful for people aspiring to become Market Researchers because it will teach them how to use machine learning to automate data analysis tasks and gain more accurate insights.
Software Engineer
Software Engineer
Software Engineers design, develop, and implement software applications. They work with users to understand their needs and develop software that meets those needs. This course may be useful for people aspiring to become Software Engineers because it will teach them how to use machine learning to build more intelligent and efficient software applications.
For more career information including salaries, visit:
OpenCourser.com/course/f9a3id/curso
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
Curso Completo de Machine Learning en Microsoft Power BI .
Complementa la parte práctica del curso proporcionando una inmersión en Scikit-Learn, Keras, y TensorFlow, bibliotecas útiles para implementar modelos de Machine Learning
Un libro técnico que cubre los métodos estadísticos subyacentes al Machine Learning
Save
Proporciona una perspectiva algorítmica del Machine Learning, explorando diferentes algoritmos y técnicas
Para aquellos que prefieren R, este libro ofrece una guía paso a paso sobre Machine Learning con R
Para aquellos con conocimientos de Python, este libro proporciona un enfoque práctico para aplicar Machine Learning en Python
Este libro brinda un buen punto de partida para lectores que están iniciando en el mundo del Machine Learning y necesitan fundamentos y una primera aproximación
Un libro práctico que proporciona ejemplos y ejercicios para aplicar técnicas de Machine Learning
Un libro práctico centrado en el uso de herramientas y bibliotecas para implementar Machine Learning
Save
Como libro de texto, cubre los conceptos fundamentales y técnicas de minería de datos, incluyendo Machine Learning
For more information about how these books relate to this course, visit:
OpenCourser.com/course/f9a3id/curso
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Effort
2 horas
Level
Advanced
Via
Coursera
Institution
Coursera Project Network
Instructor
Leire Ahedo
Language
Español
Good to know
Se enfoca en desarrollar habilidades y conocimientos en inteligencia artificial, lo que se alinea con las tendencias actuales de la industria
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