Data Visualization with Power BI Simplified

  • 4.1
  • (474+ reviews)

Description

Data visualization is an essential skill for anyone who wants to understand and communicate insights from data. In today's data-driven world, organizations need to quickly and accurately make informed decisions based on vast amounts of data. Power BI is a powerful data visualization tool that allows users to create interactive dashboards and reports that help them analyze and communicate insights from data. This short course is designed to teach you the basics of data visualization with Power BI, and provide hands-on experience with the tool.

The course will start by introducing you to the Power BI interface and its various components. You will learn how to create a data model, import data from various sources, and transform data to make it suitable for analysis. You will also learn how to create relationships between tables in your data model, and how to manage data from multiple sources.

Once you have a solid foundation in the basics of Power BI, you will learn how to create visually compelling dashboards, reports, and visualizations. You will learn how to use Power BI's built-in visualizations, and how to customize them to meet your specific needs. You will also learn how to use advanced features like drill-through and drill-down, to help you explore your data in more detail.

Throughout the course, you will be provided with real-world examples and exercises, which will allow you to apply what you have learned to real-world scenarios. You will also learn how to publish your reports and dashboards to the Power BI service, so you can share your insights with others.

By the end of the course, you will have a solid understanding of how to use Power BI to effectively analyze and visualize data, and be able to create visually compelling dashboards and reports that help you communicate insights to others.

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Course Info

Created by Okot Samuel
1 hour on-demand video
16 lectures
25,332+ students enrolled
4.1 rating from 474+ reviews
English language
Created on April 10, 2023
Category: Development
Subcategory: Data Science

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