Microsoft Power Bi - Master Data Visualizations

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Microsoft Power Bi - Master Data Visualizations
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.45 GB | Duration: 2h 15m

Data Visualization

What you'll learn

Data Visualization

Data Analysis & Insights Findings

Data Manipulation with Case Study

Story Telling for Businesses and Academics

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 MobileKey differences between Power BI and other BI tools (e.g., Tableau, Excel)Understanding the Power BI workspaceNavigating the Power BI interface and understanding its features1. Overview2. All Visuals3. Visuals Dashboard4. Dashboard5. Dax Columns6. DAX Measure7. Power Query8. Complex Query9. Dashboard10. Tricks11. Python over Power BI12. 3D Models in Power BI13. Book-Mark14. Freezing visual

Overview

Section 1: Introduction

Lecture 1 Power BI Introduction

Lecture 2 Overview

Lecture 3 All Visuals

Lecture 4 Distinct

Lecture 5 Data Analytical Expression (DAX)- Columns

Lecture 6 DAX Measures

Lecture 7 Power Query

Lecture 8 Calendar Function

Lecture 9 BookMark

Lecture 10 Freezing Visuals and Parameters

Data Visualization beginners who are curious about data insights

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