Mastering Microsoft Power Bi: From Beginner To Pro

A step-by-step guide to mastering Microsoft Power BI using Power Query, Power Pivot, Power View, and Power BI Service

What you'll learn

Understand the Power BI ecosystem and how Power Query, Pivot, View, and Service fit together.

Use Power Query to clean, transform, and shape raw data.

Write basic and advanced DAX formulas for calculations and KPIs.

Design professional reports and visualizations using Power View.

Publish, manage, and share reports securely using Power BI Service.

Build an end-to-end real-world dashboard project.

Apply best practices in data visualization and storytelling.

Understand what Power Query is and its role in the Power BI workflow.

Connect to multiple data sources (Excel, CSV, SQL Server, Web, APIs, etc.).

Perform data cleaning tasks such as removing duplicates, filtering rows, splitting and merging columns.

Use transformations like pivoting, unpivoting, grouping, and transposing data.

Apply conditional logic to create new columns and advanced calculated fields.

Combine data from different sources using merge and append queries.

Work with parameters and custom functions for reusable data transformations.

Understand the basics of M language (Power Query formula language).

Automate repetitive data preparation tasks.

Build a strong foundation for data modeling before moving to Power Pivot and DAX.

Understand the role of Power Pivot in building robust data models in Power BI.

Create and manage relationships between multiple tables.

Design a star schema for efficient reporting and performance.

Build calculated columns and measures using DAX (Data Analysis Expressions).

Apply aggregation functions (SUM, AVERAGE, COUNT, DISTINCTCOUNT, etc.).

Use time intelligence functions (YTD, MTD, QTD, rolling averages, year-over-year growth).

Implement hierarchies (Date hierarchy, Product hierarchy, etc.) for drill-down analysis.

Understand the difference between calculated columns vs. measures and when to use each.

Optimize data models for performance (reduce size, avoid redundancy).

Prepare a solid data foundation for Power View dashboards and Power BI Service reports.

Understand the purpose of Power View as a visualization and reporting layer in Power BI.

Create a variety of interactive visuals including tables, matrices, bar/column charts, line charts, and maps.

Use slicers, filters, and drill-downs to make reports dynamic and user-friendly.

Design dashboards that highlight KPIs, trends, and insights clearly.

Format visuals with themes, colors, and layouts for professional presentation.

Combine multiple visuals into a single report page to tell a complete data story.

Add interactivity with bookmarks, tooltips, and cross-filtering.

Design reports that align with best practices in data visualization and storytelling.

Connect Power View with Power Pivot models to visualize calculated measures and KPIs.

Prepare dashboards that can be shared and published to the Power BI Service.

Understand the role of Power BI Service as the online platform for collaboration and sharing.

Publish reports and dashboards from Power BI Desktop to the cloud.

Create and manage dashboards using pinned visuals from multiple reports.

Share reports securely with colleagues, teams, or clients.

Set up workspaces for collaboration and version control.

Schedule data refreshes to keep reports up to date automatically.

Manage permissions, roles, and security for different users.

Use Power BI Mobile to access dashboards on the go.

Create and subscribe to alerts and notifications on KPIs.

Understand licensing basics (Free vs Pro vs Premium) and deployment best practices.

Requirements

No prior Power BI experience required.

Basic Excel knowledge is helpful (but not mandatory).

Windows PC required (Power BI Desktop doesn’t run natively on Mac).

Internet connection for Power BI Service features.

Description

Unlock the true potential of your data with Microsoft Power BI — one of the world’s most powerful business intelligence tools.This course is designed to take you step by step through the complete Power BI ecosystem, covering the four core pillars:Power Query – Clean, transform, and prepare messy raw data for analysis.Power Pivot – Build strong data models and perform advanced calculations with DAX.Power View – Design stunning, interactive dashboards and visual reports.Power BI Service – Publish, share, and collaborate on reports in the cloud.Whether you are a beginner or someone looking to enhance your analytics skills, this course will help you turn data into insights that drive smarter business decisions. Each section is filled with hands-on exercises, real-world examples, and best practices so you can confidently apply your skills in your job, business, or freelance projects.By the end of this course, you will be able to:Transform raw data into clean, analysis-ready datasets using Power Query.Create robust data models and calculations with Power Pivot and DAX.Build professional dashboards and interactive reports with Power View.Publish, share, and manage your reports securely using the Power BI Service.Apply industry best practices for data visualization and storytelling.This is not just a theoretical course — it’s a practical learning journey where you’ll work on projects that reflect real business problems and solutions.

Overview

Section 1: Introduction Power BI Sessions

Lecture 1 Introduction

Lecture 2 Power BI Desktop Installation & Power Query Introduction

Lecture 3 Power Pivot & Data Modeling Introduction

Lecture 4 Power Pivot Enhancing the Data Model (Creating New Information) Using DAX

Lecture 5 Power View and Power BI Service Introduction

Section 2: Power Query Sessions

Lecture 6 Power Query Introduction, User Interface & Data Processing

Lecture 7 Datatypes & Filters in Power Query

Lecture 8 Text & Date Columns Filtering

Lecture 9 Column Transformations Part 1

Lecture 10 Column Transformations Part 2

Lecture 11 Merge Queries Part 1

Lecture 12 Merge Queries Part 2

Lecture 13 Merge Queries & Append Queries

Lecture 14 Query Options & Query Folding

Lecture 15 Home Tab Options

Lecture 16 Transform Tab , Add Column Tab Options, View, Tools & Help Tab Options

Section 3: Power Pivot All sessions

Lecture 17 Power Pivot & Data Modeling Introduction

Lecture 18 Dimension Tables, Fact Tables , Cardinalities

Lecture 19 Cross Filter Direction & Many to Many Cardinality (Extra Video)

Lecture 20 Types of Schemas

Lecture 21 Active, Inactive Relationships

Lecture 22 Assume Referential Integrity & Apply Security Filter in Both Direction

Lecture 23 DAX Introduction

Lecture 24 Columns Vs Measures

Lecture 25 DAX Text Functions

Lecture 26 DAX Logical Functions

Lecture 27 DAX Date and Time Functions

Lecture 28 DAX Date and Time Functions - Part 2 (Extra Video)

Lecture 29 Filter Functions

Lecture 30 Filter Functions & Relationship functions

Lecture 31 Math, Aggregation,Statistical & Table manipulation Functions ( Extra Video )

Lecture 32 Time Intelligence Functions

Lecture 33 Visual Calculations & Quick Measures (Todays Important Class)

Section 4: Power View All Sessions

Lecture 34 Power View Introduction & Power BI Desktop User Interface (UI)

Lecture 35 Visual Interactions

Lecture 36 Filters in Power View Part 1

Lecture 37 Filtering Number and Text Columns

Lecture 38 Filtering Date Column, Hide Filters Pane(Extra Video)

Lecture 39 Hierarchies and Drilldown Visuals

Lecture 40 Hierarchies and Drilldown Visuals Part 2

Lecture 41 Pie Chart

Lecture 42 General Formatting Options (Extra Video )

Lecture 43 Donut, Treemap and Bar Chart

Lecture 44 Bar & Column Charts , Scatter Chart

Lecture 45 Visuals for Date & Time Data

Lecture 46 Ribbon Chart , Waterfall Chart

Lecture 47 Slicer Visual

Lecture 48 Tile Slicer / Button Slicer

Lecture 49 Visuals for KPI Data

Lecture 50 KPI Visual and Map Visual

Lecture 51 Table and Matrix Visual (Extra Video)

Lecture 52 Filled Map , Azure Map & Funnel

Lecture 53 AI Visuals & Tooltip Page

Lecture 54 Sorting , Grouping

Lecture 55 Bookmarks , Buttons , Selection(Extra Video )

Section 5: Power BI Service All Sessions

Lecture 56 Power BI Service Introduction

Lecture 57 Workspaces, Semantic Model Creation , Creating Reports

Lecture 58 Dashboards

Lecture 59 Data Gateways Part 1

Lecture 60 Data Gateway Part 2(Extra Video)

Lecture 61 Sharing Reports & Dashboards with Clients

Lecture 62 Team Collaboration

Lecture 63 Dataflows

Lecture 64 Incremental Refresh(Extra Video)

Lecture 65 Row Level Security (RLS) - Today(05 Aug 2025) Important Class

Lecture 66 Code Deployment Pro License(Extra Video)

Lecture 67 Code Deployment - Premium or PPU License - Deployment Pipelines

Students and professionals starting a career in data analytics / business intelligence.,Excel users who want to move into Power BI for dashboards.,Business analysts and managers who need actionable insights.,Entrepreneurs, freelancers, and consultants who want to present data professionally.,Anyone preparing for Microsoft’s Power BI certification (PL-300).