Prepare and visualize data with Microsoft Power BI

SKU: NTV-MDP605

172.260 kr.

Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.

Forkröfur

Completion of the Get started with Microsoft data analytics is recommended.

Nemandi mun læra eftirfarandi

By the end of this course, learners will be able to:

  • Navigate the Power BI interface and identify its key components and services.
  • Connect to, import, and profile data from a variety of sources using appropriate storage modes.
  • Clean, transform, and structure datasets to ensure accuracy and usability for reporting.
  • Build and configure semantic models, including relationships, hierarchies, and column settings.
  • Design interactive and visually engaging reports using filters, slicers, and diverse visual types.

Samantekt

1 – Get started building with Power BI

  • Use Power BI
  • Building blocks of Power BI
  • Tour and use the Power BI service

2 – Get data in Power BI

  • Get data from files
  • Get data different sources
  • Select a storage mode
  • Data profiling
  • Lab: Get Data in Power BI Desktop

3 – Clean, transform, and load data in Power BI

  • Shape the initial data
  • Simplify the data structure
  • Evaluate and change column data types
  • Combine multiple tables into a single table
  • Use Advanced Editor to modify M code
  • Lab: Load data in Power BI Desktop

4 – Design a semantic model

  • Configure relationships
  • Configure tables
  • Configure columns
  • Configure hierarchies

5 – Design Power BI reports

  • Design the analytical report layout
  • Design visually appealing reports
  • Use report visuals
  • Apply filters and slicers to reports
  • Lab: Design a report in Power BI Desktop

6 – Introduction Copilot in Power BI

  • Use Copilot in Power BI to prepare and model data
  • Create reports with Copilot in Power BI
  • Get your data ready for AI usage in Power BI

7 – Introduction to end-to-end analytics using Microsoft Fabric

  • Explore end-to-end analytics with Microsoft Fabric
  • Explore data teams and Microsoft Fabric
  • Enable and use Microsoft Fabric