Preguntas y Respuestas de Entrevista de Tableau: Tableau para Carreras en Ciencia de Datos

Resumen

Tableau Interview Questions To Maximize Your Chances Of Getting A Data Analytics Or Tableau Developer Or Analyst Job What you'll learn:

Learn how to explain what Tableau isLearn who the founders of Tableau areLearn how to describe the mission of the companyLearn how to explain what a treemap visualisation isLearn about Tableau Desktop and Tableau Server row and column limitationsLearn the difference between .twb and .twbx filesLearn how aggregation works in TableauLearn everything how context filters workLearn two practical applications of context filtersLearn how data source filters workLearn how blends work in TableauLearn how to append data to a Tableau extractLearn how to "Union All" data using a Custom SQL queryUnderstand the difference between measures and dimensionsUnderstand the difference between discrete and continuous variablesLearn how to create a blended axis and how to control it This course is designed for me to pass on as much knowledge about Tableau to you as I can. We will go through the most popular Tableau questions and I will reveal how I would go about answering each of these questions.

Moreover, there will be ample examples in this course and I will explain my answers in detail and actually show you how it all plays out in the software. The course is broken up into three sections based on the question types:

SimpleModerateDifficultAlso you can use the questions in this course to check your knowledge of Tableau - after I reveal the question, pause the video and try to answer the question.

Then check if your answer is the same as mine. This is a short, dynamic, and fun course!

Unlike my other courses you won't have to do any exercises. The lectures have a conversational format, so all you need to do is relax and enjoy how we delve into the diverse world of Tableau.

I look forward to seeing you inside! Kirill Disclaimer:

This course does not guarantee you getting a job or promotion.

This course is designed to pass my knowledge of Tableau onto you. Although I have put in substantial effort into preparing this course there may be some things that are incorrect.

Therefore, do not rely solely on these answers - these are nothing more than my opinions and experiences. Make sure to verify any information independently.

I will not accept any responsibility for consequences of you relying on the information provided in this course for job interviews, professional work, and any other purposes.

Programa

• Introducción a Tableau
Panorama general del software Tableau
Importancia de Tableau en la ciencia de datos
Configuración de Tableau: instalación e interfaz
• Habilidades básicas de Tableau
Conexión a fuentes de datos
Preparación y limpieza de datos en Tableau
Creación de las primeras visualizaciones: gráficos de barras, gráficos de líneas y gráficos de pastel
• Técnicas intermedias de Tableau
Gráficos avanzados: diagramas de dispersión, mapas de calor y mapas de árbol
Trabajo con paneles de control y puntos de historia
Aplicar filtros y ordenar datos
• Visualización de datos avanzada
Campos calculados y cálculos de tabla
Uso de parámetros para paneles interactivos
Análisis avanzados: pronósticos y líneas de tendencia
• Aplicaciones de Tableau para ciencia de datos
Estudios de caso: escenarios reales de ciencia de datos
Integración de Tableau con R y Python
Realización de análisis predictivo con Tableau
• Preparación para entrevistas de Tableau
Preguntas y respuestas comunes en entrevistas de Tableau
Práctica práctica: resolviendo problemas reales de entrevistas
Consejos y trucos para una presentación efectiva en entrevistas
• Conclusión y próximos pasos
Revisión de conceptos clave
Recursos adicionales y educación continua
Sesión final de preguntas y respuestas y retroalimentación

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Impartido por

Kirill Eremenko, SuperDataScience Team and Ligency Team

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Materias

Data Science