Configuración Inicial
Configurar Looker Studio y Conectar la Primera Fuente de Datos
Crear Gráficos en Looker Studio y Analizar Ventas
Conectar una Fuente de Datos desde Google Sheets en Looker Studio
Agregar Filtros y Controles Interactivos en Looker Studio
Diseñar un Dashboard Accesible con Looker Studio
Quiz: Configuración Inicial
Análisis, Optimización y Seguridad
Integrar Datos de Inventario y Analizar la Disponibilidad de Productos en Looker Studio
Optimizar el Stock en Looker Studio
Parámetros para optimización en Looker Studio
Combinar Datos de Ventas y Clientes en Looker Studio
Segmentación de Clientes con Campos Calculados en Looker Studio
Manejo de Seguridad del Dashboard en Looker Studio
Optimizar la Carga y el Rendimiento del Dashboard en Looker Studio
Quiz: Análisis, Optimización y Seguridad
Técnicas Avanzadas
Conectar Múltiples Fuentes de Datos en Looker Studio
Expresiones Regulares y Transformación de Datos en Looker Studio
Optimización del Dashboard para Dispositivos Móviles en Looker Studio
Visualizaciones Comunitarias y Navegación en Looker Studio
Storytelling con Datos: Cómo Contar una Historia en Looker Studio
Data visualization is a powerful tool for transforming complex information into actionable insights. With Looker Studio, we can turn scattered files into interactive dashboards that facilitate decision making. This platform allows us to connect multiple data sources and present them in a clear and effective way, revolutionizing the way companies analyze their information.
To start using Looker Studio and create professional dashboards, the first step is to access the platform through looker.google.com and select the "create a new report" option. One of the great advantages of this tool is its ability to connect data from multiple sources, allowing us to centralize all relevant information in one place.
In the practical case we will see, we will start by uploading a CSV file to the platform. This format is widely used for data exchange and will be our starting point for building effective visualizations.
Before we dive into dashboard creation, it is essential to understand two key concepts that structure any data analysis:
Dimensions: These are qualitative data that describe specific attributes. They help us answer questions such as "what products were sold?", "in which branch?" or "on what date?". Dimensions provide the context needed to interpret numerical values.
Metrics: These are quantitative data, numerical values on which we can perform calculations. They allow us to answer questions such as "how many units were sold?", "what was the total revenue in 2024?" or "what is the Lifetime value of a customer?". Metrics are the indicators we measure and analyze.
Understanding the distinction between these two types of data is essential to properly structure our dashboards and extract valuable insights.
During this course, we will work with a real case study of Freshmark, a supermarket chain that faces significant challenges in its data analysis. Currently, managers receive hundreds of reports in spreadsheets and spend hours trying to extract business-relevant information.
This is a common problem in many organizations: the information exists, but it is not optimized to facilitate decision making. Through Looker Studio, we will learn how to transform this scattered data into interactive dashboards that allow you to:
The course is led by Agus Bussi, coordinator at Platzi with more than ten years of experience teaching tools for digital transformation, which guarantees a practical and results-oriented approach.
Data visualization is not just a technical skill, but a strategic competency that can transform the way companies operate and make decisions. Are you ready to master this powerful tool? We invite you to share in the comments what kind of data you would like to visualize on your own dashboard.
Contributions 4
Questions 0
Want to see more contributions, questions and answers from the community?