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Leire Ahedo
Este proyecto es un curso efectivo para aprender a analizar los datos de retail y a identificar patrones que permiten maximizar las ventas. Para ello, se aprenderá todo lo necesario acerca de las reglas de asociación y a como generar dichas reglas en Power BI.
Register for this course and see more details by visiting:
OpenCourser.com/course/rhnos8/ml
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What's inside
Syllabus
ML y Power BI para incrementar las ventas en Retail
En este curso se aprenderá a utilizar Pycaret para generar reglas de asociación
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Curso orientado a personas que busquen desarrollar habilidades en el análisis de datos de retail
Incorpora el uso de Power BI, una herramienta muy utilizada en el sector
Imparte conocimientos prácticos sobre el uso de reglas de asociación, un método común para identificar patrones en los datos de retail
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Reviews summary
Power bi for retail sales
The course on Power BI for Retail Sales is highly rated by students, with all four reviews awarding it a perfect score of 5 out of 5. Students remarked on the timeliness and practicality of the material, suggesting that it is a valuable resource for those looking to improve their sales strategies.
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 ML y Power BI para incrementar las ventas en Retail with these
activities:
Revisión de conceptos básicos de Power BI
Show steps
Refresca tus habilidades de Power BI para aprovechar al máximo las funciones de análisis que ofrece.
Browse courses on
Power BI
Show steps
-
Revisa los recursos de Power BI
-
Completa ejercicios prácticos
Generar reglas de asociación en Pycaret
Show steps
Fortalece tus habilidades para generar reglas de asociación utilizando Pycaret.
Browse courses on
Pycaret
Show steps
-
Importa el conjunto de datos
-
Crea un objeto de Pycaret
-
Genera reglas de asociación
-
Evalúa las reglas generadas
Show all two activities
Revisión de conceptos básicos de Power BI
Show steps
Refresca tus habilidades de Power BI para aprovechar al máximo las funciones de análisis que ofrece.
Browse courses on
Power BI
Show steps
Show steps
Show steps
- Revisa los recursos de Power BI
- Completa ejercicios prácticos
Generar reglas de asociación en Pycaret
Show steps
Fortalece tus habilidades para generar reglas de asociación utilizando Pycaret.
Browse courses on
Pycaret
Show steps
Show steps
Show steps
- Importa el conjunto de datos
- Crea un objeto de Pycaret
- Genera reglas de asociación
- Evalúa las reglas generadas
Show all two activities
Career center
Learners who complete ML y Power BI para incrementar las ventas en Retail will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer can use Power BI and Machine Learning to analyze data and identify patterns that can help increase sales. This course can teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales. This skill is in high demand in the job market, and this course can give you the edge you need to succeed in this field.
Market Research Analyst
Market Research Analyst
A Market Research Analyst can use Power BI and Machine Learning to analyze data and identify patterns that can help increase sales. This course can teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales. This skill is in high demand in the job market, and this course can give you the edge you need to succeed in this field.
Data Scientist
Data Scientist
A Data Scientist will be able to use Power BI and Machine Learning to analyze data and identify patterns that can help increase sales. This course can teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales. This skill is in high demand in the job market, and this course can give you the edge you need to succeed in this field.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer will be able to use Power BI and Machine Learning to analyze data and identify patterns that can help increase sales. This course can teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales. This skill is in high demand in the job market, and this course can give you the edge you need to succeed in this field.
Business Analyst
Business Analyst
A Business Analyst can use this course to build a foundation in Power BI and Machine Learning. This skillset can help you analyze data and identify inefficiencies in the business. You can then use this information to develop recommendations for improvement. This course will also teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales. This skillset is in high demand in the job market, and this course can give you the edge you need to succeed in this field.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst can use Power BI and Machine Learning to analyze data and identify patterns that can help increase sales. This course can teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales. This skill is in high demand in the job market, and this course can give you the edge you need to succeed in this field.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst can use Power BI and Machine Learning to analyze data and identify patterns that can help increase sales. For example, you can use this knowledge to identify which products are most popular with customers, or which marketing campaigns are most effective. This information will allow you to make better decisions about how to allocate your resources and increase your sales. This course will teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst can use Power BI and Machine Learning to analyze data and identify patterns that can help increase sales. This course can teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales. This skill is in high demand in the job market, and this course can give you the edge you need to succeed in this field.
Financial Analyst
Financial Analyst
A Financial Analyst can use Power BI and Machine Learning to analyze data and identify patterns that can help increase sales. This course can teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales. This skill is in high demand in the job market, and this course can give you the edge you need to succeed in this field.
Data Analyst
Data Analyst
A Data Analyst will be able to help a company optimize sales by using Power BI to analyze data. This course will provide you with the skills you need to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales. This skillset is in high demand in the job market, and this course can give you the edge you need to succeed in this field.
Product Manager
Product Manager
A Product Manager can use Power BI and Machine Learning to analyze data and identify patterns that can help increase sales. For example, you can use this knowledge to identify which products are most popular with customers, or which features are most desired. This information will allow you to make better decisions about how to develop and market your products. This course will teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales.
Marketing Manager
Marketing Manager
A Marketing Manager can use Power BI and Machine Learning to analyze data and identify patterns that can help increase sales. For example, you can use this knowledge to identify which marketing campaigns are most effective, or which products are most popular with customers. This information will allow you to make better decisions about how to allocate your resources and increase your sales. This course will teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales.
Software Engineer
Software Engineer
A Software Engineer with a foundation in Power BI and Machine Learning can use this skillset to develop new solutions that can help increase sales. For example, you could develop a new sales tracking system that uses Machine Learning to identify patterns and predict future sales. This type of system could help businesses make better decisions about how to allocate their resources and increase their sales. This course will teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales.
Computer Scientist
Computer Scientist
A Computer Scientist with a foundation in Power BI and Machine Learning can use this skillset to develop new solutions that can help increase sales. For example, you could develop a new sales tracking system that uses Machine Learning to identify patterns and predict future sales. This type of system could help businesses make better decisions about how to allocate their resources and increase their sales. This course will teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales.
Sales Manager
Sales Manager
A Sales Manager can use Power BI and Machine Learning to analyze data and identify patterns that can help increase sales. For example, you can use this knowledge to identify which products are most popular with customers, or which marketing campaigns are most effective. This information will allow you to make better decisions about how to allocate your resources and increase your sales. This course will teach you how to generate association rules in Power BI, which can be used to identify patterns in sales data and make predictions about future sales.
For more career information including salaries, visit:
OpenCourser.com/course/rhnos8/ml
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
ML y Power BI para incrementar las ventas en Retail.
Proporciona una base sólida en los principios de la ciencia de datos y el pensamiento analítico de datos, lo que es esencial para comprender las aplicaciones del curso.
Este libro proporciona una introducción completa al aprendizaje automático con Python. Cubre una amplia gama de temas, incluyendo algoritmos de aprendizaje supervisado y no supervisado, modelos de evaluación y selección de características. Es un libro excelente para aquellos que deseen aprender los fundamentos del aprendizaje automático.
Sirve como una guía práctica para usar Python en el análisis de datos, brindando información sobre las bibliotecas y técnicas utilizadas en el curso.
Amplía las habilidades de aprendizaje automático adquiridas en el curso, proporcionando una cobertura integral de técnicas avanzadas y bibliotecas de Python.
Save
Este libro introduce la herramienta Power BI para el análisis de datos. Cubre los conceptos fundamentales de Power BI, como la creación de informes, el modelado de datos y el análisis de datos. Es un libro muy recomendable para aquellos que deseen aprender a utilizar Power BI para el análisis de datos.
Aborda la interpretabilidad de los modelos de aprendizaje automático, lo que es crucial para comprender y confiar en los resultados generados en el curso.
Este libro proporciona una introducción a la probabilidad y la estadística. Cubre los conceptos fundamentales de la probabilidad y la estadística, como la teoría de la probabilidad, la distribución de probabilidad y la inferencia estadística. Es un libro excelente para aquellos que deseen aprender los fundamentos de la probabilidad y la estadística.
Este libro proporciona una introducción al álgebra lineal. Cubre los conceptos fundamentales del álgebra lineal, como los vectores, las matrices y los espacios vectoriales. Es un libro excelente para aquellos que deseen aprender los fundamentos del álgebra lineal.
Proporciona una introducción fácil de entender a Power BI, lo que es útil para los principiantes que necesitan una base en la herramienta.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rhnos8/ml
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Effort
2 horas
Level
Advanced
Via
Coursera
Institution
Coursera Project Network
Instructor
Leire Ahedo
Language
Español
Good to know
Curso orientado a personas que busquen desarrollar habilidades en el análisis de datos de retail
Incorpora el uso de Power BI, una herramienta muy utilizada en el sector
Imparte conocimientos prácticos sobre el uso de reglas de asociación, un método común para identificar patrones en los datos de retail
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