Prepare and visualize data with Microsoft Power BI

kurz

Základní info

This course is designed as an introduction to Power BI for data analysis and reporting. Skills include connecting to data and basic data preparation tasks using Power Query, designing report pages for optimal user experience, and exploring how Copilot in Power BI aids the report development process.

Audience Profile

This course is intended for professionals interested in transforming data into interactive reports using Power BI to deliver insights and support decision-making. No prior experience with Power BI is required.

Course Modules

Get started building with Power BI

Learn about Power BI, the building blocks and flow of Power BI, and how to create compelling, interactive reports.

Introduction
Use Power BI
Building blocks of Power BI
Tour and use the Power BI service
Knowledge check
Summary

Get data in Power BI

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.

Introduction
Get data from files
Get data from relational data sources
Create dynamic reports with parameters
Get data from a NoSQL database
Get data from online services
Select a storage mode
Get data from Azure Analysis Services
Fix performance issues
Resolve data import errors
Exercise - Get data in Power BI
Check your knowledge
Summary

Clean, transform, and load data in Power BI

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.

Introduction
Shape the initial data
Simplify the data structure
Evaluate and change column data types
Combine multiple tables into a single table
Profile data in Power BI
Use Advanced Editor to modify M code
Exercise - Load data in Power BI Desktop
Check your knowledge
Summary

Configure a semantic model

Semantic models organize complex data into an intuitive structure, enhancing data visualization and enabling efficient, insightful reporting for better decision-making.

Introduction
Configure relationships
Configure tables
Configure columns
Configure hierarchies
Configure measures
Configure parameters
Exercise - Configure a semantic model in Power BI Desktop
Check your knowledge
Summary

Design Power BI reports

Design effective Power BI reports that are visually appealing and easy to understand with consistent report structure, interactive objects, and filtering.

Introduction
Design the analytical report layout
Design visually appealing reports
Use report objects
Select report visuals
Apply filters and slicers to reports
Understand filtering techniques and considerations
Case study - Configure report filters based on feedback
Exercise - Design Power BI reports
Check your knowledge
Summary

Get started with Copilot in Power BI

Copilot in Power BI increases productivity when developing semantic models and reports using Power BI. Copilot also allows you to interact with your data using natural language to gain insights.

Introduction
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
Module assessment
Summary

Introduction to end-to-end analytics using Microsoft Fabric

Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform. Learn about Microsoft Fabric, how it works, and identify how you can use it for your analytics needs.

Introduction
Explore end-to-end analytics with Microsoft Fabric
Explore data teams and Microsoft Fabric
Enable and use Microsoft Fabric
Module assessment
Summary

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