Análisis de datos con Power BI (MOC DA-100T00-A)

Duración: 28 horas.
Fecha: Del 14 al 18 de Marzo de 15 a 20:30 Hrs.
¡Quiero saber más sobre el curso de Análisis de datos con Power BI (MOC DA-100T00-A)!

A quien va dirigido

La audiencia de este curso son profesionales de datos y profesionales de inteligencia empresarial que desean aprender a realizar análisis de datos con precisión utilizando Power BI. Este curso también está dirigido a aquellas personas que desarrollan informes que visualizan datos de las tecnologías de la plataforma de datos que existen tanto en la nube como en las instalaciones.

Descripción

Este curso discutirá los diversos métodos y mejores prácticas que están en línea con los requisitos comerciales y técnicos para modelar, visualizar y analizar datos con Power BI. El curso también mostrará cómo acceder y procesar datos de una variedad de fuentes de datos, incluidos datos tanto relacionales como no relacionales. Este curso también explorará cómo implementar estándares y p…

A quien va dirigido

La audiencia de este curso son profesionales de datos y profesionales de inteligencia empresarial que desean aprender a realizar análisis de datos con precisión utilizando Power BI. Este curso también está dirigido a aquellas personas que desarrollan informes que visualizan datos de las tecnologías de la plataforma de datos que existen tanto en la nube como en las instalaciones.

Descripción

Este curso discutirá los diversos métodos y mejores prácticas que están en línea con los requisitos comerciales y técnicos para modelar, visualizar y analizar datos con Power BI. El curso también mostrará cómo acceder y procesar datos de una variedad de fuentes de datos, incluidos datos tanto relacionales como no relacionales. Este curso también explorará cómo implementar estándares y políticas de seguridad adecuados en todo el espectro de Power BI, incluidos conjuntos de datos y grupos. El curso también discutirá cómo administrar e implementar informes y paneles para compartir y distribuir contenido. Finalmente, este curso mostrará cómo crear informes paginados dentro del servicio Power BI y publicarlos en un área de trabajo para incluirlos en Power BI.

  • Ingiera, limpie y transforme datos
  • Modele datos para rendimiento y escalabilidad
  • Diseñar y crear informes para el análisis de datos.
  • Aplicar y realizar análisis de informes avanzados
  • Administrar y compartir activos de informes
  • Crear informes paginados en Power BI

Los analistas de datos exitosos comienzan este rol con la experiencia de trabajar con datos en la nube.

Específicamente:

  • Comprender los conceptos básicos de datos.
  • Conocimiento de trabajar con datos relacionales en la nube.
  • Conocimiento de trabajar con datos no relacionales en la nube.
  • Conocimiento de conceptos de análisis y visualización de datos.

This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.

  • Data Analytics and Microsoft
  • Getting Started with Power BI
  • Getting Started
  • Explore the different roles in data
  • Identify the tasks that are performed by a data analyst
  • Describe the Power BI landscape of products and services
  • Use the Power BI service

This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage, and understand the difference and performance implications of connecting directly to data vs. importing it.

  • Get data from various data sources
  • Optimize performance
  • Resolve data errors
  • Prepare Data
  • Identify and retrieve data from different data sources
  • Understand the connection methods and their performance implications
  • Optimize query performance
  • Resolve data import errors

This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.

  • Data shaping
  • Enhance the data structure
  • Data Profiling
  • Loading Data
  • Apply data shape transformations
  • Enhance the structure of the data
  • Profile and examine the data

This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.

  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies
  • Create Model Relationships
  • Configure Tables
  • Review the model interface
  • Create Quick Measures
  • Configure many-to-many relationships
  • Enforce row-level security
  • Understand the basics of data modeling
  • Define relationships and their cardinality
  • Implement Dimensions and Hierarchies
  • Create histograms and rankings

This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.

  • Introduction to DAX
  • DAX context
  • Advanced DAX
  • Create calculated tables
  • Create calculated columns
  • Create measures
  • Use the CALCULATE() function to manipulate filter context
  • use Time Intelligence functions
  • Understand DAX
  • Use DAX for simple formulas and expressions
  • Create calculated tables and measures
  • Build simple measures
  • Work with Time Intelligence and Key Performance Indicators

In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.

  • Optimze the model for performance
  • Optimize DirectQuery Models
  • Create and manage Aggregations
  • Understand the importance of variables
  • Enhance the data model
  • Optimize the storage model
  • Implement aggregations

This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.

  • Design a report
  • Enhance the report


  • Create a live connection in Power BI Desktop
  • Design a report
  • Configure visual fields adn format properties
  • Create and configure Sync Slicers
  • Create a drillthrough page
  • Apply conditional formatting
  • Create and use Bookmarks
  • Design a report page layout
  • Select and add effective visualizations
  • Add basic report functionality
  • Add report navigation and interactions
  • Improve report performance
  • Design for accessibility

In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.

  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard


  • Create a Dashboard
  • Pin visuals to a Dashboard
  • Configure a Dashboard tile alert
  • Use Q&A to create a dashboard tile
  • Create a Dashboard
  • Understand real-time Dashboards
  • Enhance Dashboard usability

This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.

  • Paginated report overview
  • Create Paginated reports
  • Use Power BI Report Builder
  • Design a multi-page report layout
  • Define a data source
  • Define a dataset
  • Create a report parameter
  • Export a report to PDF
  • Explain paginated reports
  • Create a paginated report
  • Create and configure a data source and dataset
  • Work with charts and tables
  • Publish a report

This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.

  • Advanced Analytics
  • Data Insights through AI visuals


  • Create animated scatter charts
  • Use teh visual to forecast values
  • Work with Decomposition Tree visual
  • Work with the Key Influencers visual
  • Explore statistical summary
  • Use the Analyze feature
  • Identify outliers in data
  • Conduct time-series analysis
  • Use the AI visuals
  • Use the Advanced Analytics custom visual

This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.

  • Creating Workspaces
  • Sharing and Managing Assets
  • Map security principals to dataset roles
  • Share a dashboard
  • Publish an App
  • Create and manage a workspace
  • Understand workspace collaboration
  • Monitor workspace usage and performance
  • Distribute an App

In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.

  • Parameters
  • Datasets
  • Create and work with parameters
  • Manage datasets
  • Configure dataset refresh
  • Troubleshoot gateway connectivity

This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.

  • Security in Power BI
  • Understand the aspects of Power BI security
  • Configure row-level security roles and group memberships