Preparar y visualizar datos con Microsoft Power BI

Resumen

Module 1:

Power BI is a collection of software services and applications that let you connect to all sorts of data sources and create compelling visuals and reports. Learn the basics of Power BI, how its services and applications work together, and how to create or experience visuals and analytics based on your data.In this module, you'll learn:

How Power BI services and applications work together.

Explore how Power BI can make your business more efficient. How to create compelling visuals and reports.

Module 2:

You'll learn how to retrieve data from a variety of data sources, including Microsoft Excel, relational databases, and NoSQL data stores. You'll also learn how to improve performance while retrieving data.By the end of this module, you'll be able to:

Identify and connect to a data source Get data from a relational database, like Microsoft SQL Server Get data from a file, like Microsoft Excel Get data from applications Get data from Azure Analysis Services Select a storage mode Fix performance issues Resolve data import errors Module 3:

Power Query has an incredible number of features that are dedicated to helping you clean and prepare your data for analysis.

You'll learn how to simplify a complicated model, change data types, rename objects, and pivot data. You'll also learn how to profile columns so that you know which columns have the valuable data that you’re seeking for deeper analytics.By the end of this module, you’ll be able to:

Resolve inconsistencies, unexpected or null values, and data quality issues.

Apply user-friendly value replacements. Profile data so you can learn more about a specific column before using it.

Evaluate and transform column data types. Apply data shape transformations to table structures.

Combine queries. Apply user-friendly naming conventions to columns and queries.

Edit M code in the Advanced Editor. Module 4:

The process of creating a complicated semantic model in Power BI is straightforward.

If your data is coming in from more than one transactional system, before you know it, you can have dozens of tables that you have to work with. Building a great semantic model is about simplifying the disarray.

A star schema is one way to simplify a semantic model, and you learn about the terminology and implementation of them in this module. You will also learn about why choosing the correct data granularity is important for performance and usability of your Power BI reports.

Finally, you learn about improving performance with your Power BI semantic models.In this module, you will:

Create common date tables Configure many-to-many relationships Resolve circular relationships Design star schemas Module 5:

Because Power BI includes more than 30 core visuals, it can be challenging for a beginner to select the correct visual. This module will guide you through selecting the most appropriate visual type to meet your design and report layout requirements.In this module, you will:

Learn about the structure of a Power BI report.

Learn about report objects. Select the appropriate visual type to use.

Module 6:

Use Copilot for Power BI to create data insights based on semantic models with minimal effort.By the end of this module, you'll understand requirements for your semantic model and also be able to use Copilot for Power BI to:

Design semantic model Create visuals and reports Create summaries Module 7:

Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform. Discover the capabilities Fabric has to offer, understand how it works, and identify how you can use Fabric for your analytics needs.In this module, you'll learn how to:

Describe end-to-end analytics in Microsoft Fabric

Programa

• Módulo 1: Inicie con la creación en Power BI Introducción Use Power BI Bloques de construcción de Power BI Recorrido y uso del servicio Power BI Revisión de conocimiento Resumen
• Módulo 2: Obtención de datos en Power BI Introducción Obtenga datos de archivos Obtenga datos de fuentes de datos relacionales Cree informes dinámicos con parámetros Obtenga datos de una base de datos NoSQL Obtenga datos de servicios en línea Seleccione un modo de almacenamiento Obtenga datos de Azure Analysis Services Solucione problemas de rendimiento Resuelva errores de importación de datos Ejercicio - Prepare datos en Power BI Desktop Verifique su conocimiento Resumen
• Módulo 3: Limpiar, transformar y cargar datos en Power BI Introducción Configure los datos iniciales Simplifique la estructura de datos Evalúe y cambie los tipos de datos de las columnas Combine múltiples tablas en una sola tabla Perfila datos en Power BI Use el Editor Avanzado para modificar el código M Ejercicio - Cargar datos en Power BI Desktop Verifique su conocimiento Resumen
• Módulo 4: Diseñe un modelo semántico en Power BI Introducción Trabaje con tablas Cree una tabla de fechas Trabaje con dimensiones Defina la granularidad de los datos Trabaje con relaciones y cardinalidad Resuelva desafíos de modelado Ejercicio - Modele datos en Power BI Desktop Verifique su conocimiento Resumen
• Módulo 5: Diseñe informes de Power BI Introducción Diseñe la estructura del informe analítico Diseñe informes visualmente atractivos Objetos de informe Seleccione visualizaciones de informes Seleccione visualizaciones de informe que se adapten a la estructura del informe Formatee y configure visualizaciones Trabaje con indicadores clave de rendimiento Ejercicio - Diseñe un informe en Power BI Desktop Verifique su conocimiento Resumen
• Módulo 6: Cree informes interactivos usando Copilot para Power BI Introducción Prepare sus datos para usar con Copilot para Power BI Use Copilot para Power BI para modelar sus datos Cree informes con Copilot para Power BI Cree resúmenes con Copilot para Power BI Revisión de conocimiento Resumen
• Módulo 7: Introducción a la analítica de extremo a extremo usando Microsoft Fabric Introducción Explore la analítica de extremo a extremo con Microsoft Fabric Equipos de datos y Microsoft Fabric Habilite y use Microsoft Fabric Revisión de conocimiento Resumen

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Materias

Business