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Marta Gracia Verdura

Los contenidos de este curso se han pensado para permitir que los usuarios de Tableau mejoren a un nivel intermedio las propias capacidades en el empleo de la herramienta. En los precedentes módulos, hemos presentado los conceptos fundamentales para trabajar con Tableau y analizar los propios datos. Una vez madurados estos conocimientos, estamos listos para continuar el recorrido de aprendizaje de Tableau, para mejorar la calidad y la complejidad de nuestros análisis. Este curso intermedio presenta cuatro nuevos módulos, divididos tal y como se describen a continuación.

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Los contenidos de este curso se han pensado para permitir que los usuarios de Tableau mejoren a un nivel intermedio las propias capacidades en el empleo de la herramienta. En los precedentes módulos, hemos presentado los conceptos fundamentales para trabajar con Tableau y analizar los propios datos. Una vez madurados estos conocimientos, estamos listos para continuar el recorrido de aprendizaje de Tableau, para mejorar la calidad y la complejidad de nuestros análisis. Este curso intermedio presenta cuatro nuevos módulos, divididos tal y como se describen a continuación.

El módulo 1 se dedica al tema de combinación de datos. Los datos llegan, a menudo, de distintas fuentes por lo que tenemos que ser capaces de establecer relaciones entre estos para poder incluir en un análisis toda la información que necesitamos. Por lo tanto, veremos cómo construir estas relaciones en Tableau, utilizando Combinación, Unión y Combinación de datos.

En el módulo 2 trabajaremos con los campos calculados y los parámetros. Los primeros son nuevos campos (dimensiones y medidas) que, a partir de la lógica utilizada, añaden nuevos datos a la base de datos inicial. Por su parte, los segundos son valores dinámicos que se pueden emplear de tantísimas formas para personalizar los propios cálculos y su visualización al interno del espacio de trabajo.

El módulo 3 contiene todos los conocimientos útiles para llevar a cabo operaciones a nivel visual. En este módulo veremos cómo Tableau lleva a cabo las operaciones de cálculo siguiendo un orden preciso que influye en los resultados de los cálculos que hacemos.

Por último, en el módulo 4 trabajaremos con los datos geográficos. En el proceso analítico hay distintas preguntas que podemos hacernos. Dominando los conocimientos relativos a la manipulación de los datos geográficos podemos responder al “cuándo”, un aspecto fundamental que se debe considerar en el proceso analítico.

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What's inside

Learning objectives

  • Combinación de datos
  • Campos calculados y parámetros
  • Las visualizaciones
  • Los datos geográficos

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Construye bases sólidas para usuarios intermedios y experimentados en Tableau
Mejora la calidad y complejidad de los análisis
Amplía conocimientos previos del uso de Tableau
Aborda conceptos esenciales como combinación de datos, campos calculados y parámetros; las visualizaciones; y los datos geográficos
Adquiere competencias prácticas en el análisis visual de datos
Ofrece conocimientos actualizados en el campo del análisis de datos

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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 Visualización y manipulación de datos con Tableau with these activities:
Asistir a reuniones de grupos de usuarios de Tableau
Conecta con otros usuarios de Tableau para compartir conocimientos, intercambiar ideas y aprender de las mejores prácticas.
Browse courses on Networking
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  • Busca grupos de usuarios de Tableau en tu área o en línea
  • Asiste a reuniones o eventos para conocer a otros profesionales
  • Participa en discusiones y comparte tus experiencias
  • Establece conexiones para oportunidades de colaboración
Crear un panel de Tableau
Aplica tus conocimientos para crear un panel interactivo de Tableau que resuma los datos y las Erkenntnisse clave.
Show steps
  • Selecciona un conjunto de datos relevante para tu análisis
  • Diseña el panel utilizando gráficos, mapas y otras visualizaciones
  • Interactúa con el panel para explorar los datos y descubrir patrones
  • Comparte el panel con otros para obtener comentarios
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Career center

Learners who complete Visualización y manipulación de datos con Tableau will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use data to solve business problems. They work with data to identify trends, patterns, and insights that can be used to make better decisions. This course may help you into this career by teaching you how to work with data and use it to solve business problems. You will learn how to clean, prepare, and analyze data, as well as how to communicate your findings to stakeholders.
Data Scientist
Business decisions rely on data in today's economy. Data Scientists use data to make informed business decisions. This course may help you into this career by teaching you how to make sense of complex data and use it to solve business problems. The course will provide you with the skills and knowledge you need to wrangle data and extract insights that can be used to improve business outcomes.
Marketing Analyst
Marketing Analysts use data to understand customer behavior and develop marketing campaigns. They work with data to identify trends and patterns that can be used to improve marketing effectiveness. The course may help you into this career by teaching you how to work with data and how to use it to understand customer behavior. You will learn how to analyze data, identify trends, and develop marketing campaigns that can reach your target audience.
Business Analyst
Business Analysts identify and solve business problems. They work with stakeholders to understand their needs and develop solutions that meet those needs. The course may help you into this career by teaching you how to work with data and how to solve business problems. You will learn how to analyze data, identify trends, and develop solutions that can improve business outcomes.
Data Engineer
Data Engineers design, build, and maintain the systems that store and process data. They work with data to ensure that it is accurate, reliable, and secure. The course may help you into this career by teaching you how to work with data and how to build and maintain data systems. You will learn how to design data models, build data pipelines, and implement data security measures.
Financial Analyst
Financial Analysts use data to evaluate and report on the financial performance of companies. They work with data to identify trends and patterns that can be used to make investment decisions. The course may help you into this career by teaching you how to work with data and how to use it to evaluate financial performance. You will learn how to analyze financial data, identify trends, and make investment recommendations.
Risk Analyst
Risk Analysts use data to identify and assess risks. They work with data to develop strategies to mitigate risks and protect the organization. The course may help you into this career by teaching you how to work with data and how to use it to identify and assess risks. You will learn how to analyze data, identify risks, and develop mitigation strategies.
Operations Analyst
Operations Analysts use data to improve the efficiency and effectiveness of operations. They work with data to identify bottlenecks and inefficiencies that can be improved. The course may help you into this career by teaching you how to work with data and how to use it to improve operations. You will learn how to analyze data, identify bottlenecks, and develop solutions that can improve efficiency and effectiveness.
Statistician
Statisticians use data to collect, analyze, and interpret data. They work with data to develop statistical models and make predictions. The course may help you into this career by teaching you how to work with data and how to use it to develop statistical models. You will learn how to collect data, analyze data, and make predictions.
Data Journalist
Data Journalists use data to tell stories and inform the public. They work with data to identify trends and patterns that can be used to create compelling stories. The course may help you into this career by teaching you how to work with data and how to use it to tell stories. You will learn how to analyze data, identify trends, and write stories that can engage your audience.
Information Security Analyst
Information Security Analysts design, implement, and maintain information security systems. They work with data to protect information from unauthorized access, use, disclosure, disruption, modification, or destruction. The course may be useful for this career by teaching you how to work with data and how to use it to protect information. You will learn how to design information security systems, implement information security systems, and maintain information security systems.
Web Developer
Web Developers design, develop, and maintain websites. They work with data to develop websites that meet the needs of users. The course may be useful for this career by teaching you how to work with data and how to use it to develop websites. You will learn how to design websites, develop websites, and test websites.
Database Administrator
Database Administrators design, implement, and maintain databases. They work with data to ensure that databases are efficient and effective. The course may be useful for this career by teaching you how to work with data and how to use it to design and implement databases. You will learn how to design databases, implement databases, and maintain databases.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with data to develop software that meets the needs of users. The course may be useful for this career by teaching you how to work with data and how to use it to develop software applications. You will learn how to design software, develop software, and test software.
UX Designer
UX Designers design user interfaces for websites and applications. They work with data to understand user behavior and design interfaces that are easy to use and navigate. The course may be useful for this career by teaching you how to work with data and how to use it to design user interfaces. You will learn how to design user interfaces, develop user interfaces, and test user interfaces.

Reading list

We've selected eight 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 Visualización y manipulación de datos con Tableau.
Este libro es una guía completa para la visualización de datos con Tableau. Cubre todos los aspectos de Tableau, desde los conceptos básicos hasta las técnicas avanzadas. Este libro es una excelente referencia para aquellos que buscan aprender Tableau a fondo.
Practical guide to data visualization with Tableau. It covers the basics of data visualization and how to use Tableau to create interactive dashboards and reports that can help businesses make better decisions.
Practical guide to data visualization with Tableau. It covers the basics of data visualization and how to use Tableau to create interactive dashboards and reports that can help businesses make better decisions.
Beginner's guide to Tableau, covering the basics of data visualization and how to use Tableau to create interactive dashboards and reports.
Guide to data visualization with Tableau for business users. It covers the basics of data visualization and how to use Tableau to create interactive dashboards and reports that can help businesses make better decisions.
Provides a comprehensive overview of data visualization, using Tableau as the primary tool. It covers a wide range of topics, from data preparation to visualization design to dashboard creation.
Provides a practical guide to storytelling with data, covering how to find stories in your data, how to structure your story, and how to present your story in a way that is both engaging and persuasive.
Provides a practical introduction to data visualization, covering the basics of visual perception, the different types of visualizations, and how to choose the right visualization for your data.

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