Power Bi: Microsoft Power Bi From Basics To Advanced

Power Bi: Microsoft Power Bi From Basics To Advanced
Published 6/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Straight to the Point Power BI Training. Become a data analyst. Learn powerbi, dax, power query, data modeling.

What you’ll learn

Transform raw data into actionable insights with Power Query and advanced data modeling.
Master DAX for powerful calculations, dynamic measures, and real-time analytics.

Build stunning interactive dashboards with best practices in data visualization.

Optimize database relationships for accuracy, speed, and efficiency.

Leverage Power BI Online to publish, share, and collaborate seamlessly.

Apply business intelligence techniques to solve real-world problems.

Gain job-ready skills to stand out in the data analytics market.

Requirements

No prior experience with Power BI is required, but basic knowledge of Excel and data handling is helpful. A Windows PC and Power BI Desktop installed are recommended.
Description

Overview

Section 1: Introduction to Power BI

Lecture 1 What s Business Intelligence (BI)?

Lecture 2 What is Power BI?

Lecture 3 Installing Power BI

Lecture 4 Power BI Online Basics

Lecture 5 Navigating the Power BI Interface

Lecture 6 Connecting to Data Sources: Excel

Lecture 7 Connecting to Data Sources: Databases

Lecture 8 Data Basics: ETL in Power BI

Lecture 9 Quick Recap of Power BI Environment

Section 2: Data Transformation With Power Query

Lecture 10 Introduction to Power Query

Lecture 11 Data Cleaning: Removing Duplicates

Lecture 12 Handling Null Values

Lecture 13 Transforming Data Types

Lecture 14 Splitting and Merging Columns

Lecture 15 Creating Custom Columns

Lecture 16 Merging Queries: Basics

Lecture 17 Appending Queries: Basics

Lecture 18 Importing Data from Folders

Lecture 19 Creating a Calendar Table

Lecture 20 Date Tools in Power Query

Lecture 21 21. Optimizing Query Steps

Lecture 22 Handling Common Power Query Errors

Lecture 23 Disabling Load for Unused Queries

Lecture 24 Best Practices in Data Transformation

Lecture 25 Building a Basic Report with Transformed Data

Lecture 26 Hands-on Power Query Exercise

Section 3: Data Modeling and Exercise

Lecture 27 Introduction to Data Modeling

Lecture 28 Fact Tables vs. Dimension Tables

Lecture 29 Creating Table Relationships

Lecture 30 Understanding Cardinality

Lecture 31 Filter Direction and Its Impact

Lecture 32 Handling Blank Values in Reports

Lecture 33 Working with Multiple Fact Tables

Lecture 34 Hiding Fields in the Model

Lecture 35 Best Practices for Data Modeling

Section 4: DAX (Data Analysis Expressions)

Lecture 36 Introduction to DAX

Lecture 37 DAX Syntax and Operators

Lecture 38 Calculated Columns vs. Measures

Lecture 39 Basic DAX Functions: SUM and AVERAGE

Lecture 40 Using IF and SWITCH Functions

Lecture 41 Advanced Functions: RELATED and CALCULATE

Lecture 42 Time Intelligence Basics

Lecture 43 Creating KPIs with Measures

Lecture 44 Drill-Down Analysis in Reports

Lecture 45 Common Mistakes with DAX and Fixes

Lecture 46 Hands-on DAX Exercise: Sales Profit Analysis

Lecture 47 Recap of DAX Key Concepts

Section 5: Visualizations and Dashboards

Lecture 48 Introduction to Visualizations

Lecture 50 Working with Tables and Matrices

Lecture 51 Using Slicers and Filters

Lecture 52 Formatting Reports

Lecture 53 Applying Themes and Layouts

Lecture 54 Building a Dashboard in Power BI Online

Lecture 55 Sharing and Collaboration

Lecture 56 Storytelling with Data

Lecture 57 Common Reporting Pitfalls and Fixes

Lecture 58 Final Hands-On: Building a Complete Dashboard

Lecture 59 Recap and Next Steps

Section 6: Certification and Career Preparation

Lecture 60 Preparing for Microsoft Data Analyst Certification

Lecture 61 Building a Portfolio with Power BI

Lecture 62 Positioning Yourself as a Data Analyst

Beginners looking to master Power BI and data analytics from scratch.,Business professionals and analysts who want to create insightful dashboards.,Anyone transitioning into a data-driven career and seeking job-ready skills.,Professionals aiming to optimize decision-making with business intelligence.