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Power BI - Master Data Visualizations
101 students

Power BI - Master Data Visualizations

Data Visualization
Created byCAD Analyst
Last updated 5/2025
English

What you'll learn

  • Data Visualization
  • Data Analysis & Insights Findings
  • Data Manipulation with Case Study
  • Story Telling for Businesses and Academics

Course content

1 section10 lectures2h 16m total length
  • Power BI Introduction3:15
  • Calendar Function3:20
  • MCQ
  • Data Analytical Expression (DAX)- Columns23:42
  • Overview30:04
  • All Visuals40:11
  • Distinct3:03
  • DAX Measures10:25
  • BookMark6:20
  • Quiz
  • Power Query9:06
  • Freezing Visuals and Parameters7:04

Requirements

  • No Programming Knowledge Required. You will get what you need

Description

Power BI is one of the most powerful tools for transforming raw data into meaningful insights through rich, interactive reports and dashboards. In this course, you will learn how to leverage Power BI's vast array of features to create stunning visualizations, analyze data, and share actionable insights with your team or stakeholders. From the basics of data import and transformation to advanced features like DAX, Power Query, and interactive report building, this course will give you the skills to become proficient in Power BI. Whether you're a beginner or an experienced user, this course provides practical examples and real-world use cases to help you master data analysis.

  • What is Power BI and its role in data analysis?

  • Overview of Power BI components: Power BI Desktop, Power BI Service, and Power BI Mobile

  • Key differences between Power BI and other BI tools (e.g., Tableau, Excel)

  • Understanding the Power BI workspace

  • Navigating the Power BI interface and understanding its features

1. Overview

2. All Visuals

3. Visuals Dashboard

4. Dashboard

5. Dax Columns

6. DAX Measure

7. Power Query

8. Complex Query

9. Dashboard

10. Tricks

11. Python over Power BI

12. 3D Models in Power BI

13. Book-Mark

14. Freezing visual

Who this course is for:

  • Data Visualization beginners who are curious about data insights