• Post category:StudyBullet-6
  • Reading time:4 mins read


Connect , Transform and Analyse Data with Power BI

What you will learn

Connect to data source

Transform data with Power Query

Create and manage query groups

Create conditional columns

Filter data

Description

Data analysis is the process of collecting, modelling, and analysing data to extract insights that support decision-making. There are several methods and techniques to perform analysis depending on the industry and the aim of the analysis.

Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what’s important, and share that with anyone or everyone you want.

Data is the core of Power BI. As you explore reports, each visual draws its underlying data from sources that often contain far more data than you need. Power BI offers several ways to filter and highlight reports. Knowing how to filter data is the key to finding the right information.


Get Instant Notification of New Courses on our Telegram channel.


Power BI consists of several elements that all work together, starting with these three basics:

  • A Windows desktop application called Power BI Desktop.
  • An online SaaS (Software as a Service) service called the Power BI service.
  • Power BI mobile apps for Windows, iOS, and Android devices.

These three elementsโ€”Power BI Desktop, the service, and the mobile appsโ€”are designed to let you create, share, and consume business insights in the way that serves you and your role most effectively.

English
language

Content

Getting Started

Introduction
What is Power BI
What is Power BI Desktop
Installing Power BI Desktop
Exploring Power BI Desktop

Analyzing and Transforming Data with Power BI

Connecting to data
Power Query Editor and Queries
Creating and managing query groups
Renaming Queries
Splitting Columns
Changing Data Types
Removing and Reordering Columns
Duplicating and adding columns
Creating conditional columns