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This Power BI tutorial will help you understand the basics of Power BI, understand the different components of Power BI. You will learn to connect data sources to Power BI Desktop and create various charts and graphs. You will also understand how to use Dax functions to derive value out of your data. Finally, this Power BI tutorial will help you know how to publish dashboards onto the power bi service.

Below topics are explained in this Power BI Tutorial:
00:00:00 What is Power BI
00:03:21 Features of Power BI
00:04:18 Power BI Components
00:06:03 Power BI Service
00:10:03 Creating charts and graphs
00:37:13 Dax functions
02:23:59 Data Modeling
04:40:04 Power BI Dashboard

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What is Power BI?
Power BI is a technology-driven business intelligence tool provided by Microsoft for analyzing and visualizing raw data to present actionable information. It combines business analytics, data visualization, and best practices that help an organization to make data-driven decisions. In February 2019, Gartner confirmed Microsoft as Leader in the 2019 Gartner Magic Quadrant for Analytics and Business Intelligence Platformas a result of the capabilities of the Power BI platform. Power BI is a business analytics service provided by Microsoft that lets you visualize your data and share insights. It converts data from different sources to build interactive dashboards and Business Intelligence reports.

What is a Power BI Dashboard?
A single page visualization with multiple charts and graphs to tell a story is called a Power BI dashboard. This one-page visualization in a dashboard is also known as a Canvas. The Power BI dashboard is a feature only available in Power BI Service. Since a Power BI dashboard is limited to one page, it only contains the highlights of a story. You cannot create a dashboard on Power BI Desktop. In a dashboard, visualizations are generated from reports, and each report is based on one dataset. The visualizations present on the dashboard are called tiles, and report designers pin these tiles to the dashboard.

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

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