MICROSOFT POWER BI 📊 End-to-End Power BI Desktop, DAX Modeling, Power Query ETL & Cloud Service.

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⚡ MICROSOFT CERTIFIED DATA ANALYST (PL-300) ALIGNED

Microsoft Power BI & Business Intelligence

Turn raw business data into actionable executive insights. Master Power Query ETL, complex DAX formulas, Star Schema data modeling, rich visual analytics, and cloud dashboard governance.

⏱ Duration: 2.5 Months

🗓 Schedule: Weekend & Weekday Batches

📜 Certificate: Power BI Data Analyst Specialist

💻 Tools: Power BI Desktop, DAX Studio, Power BI Service

💬 WhatsApp Counselor

Book Power BI Demo Seat

Get Sample PBIX Dashboard Files & DAX Cheat Sheet

PRACTICAL ROADMAP

Complete Power BI Curriculum Modules

Exhaustive coverage of Power Query ETL, Power Pivot Data Modeling, DAX Calculations, Power View, and Cloud Service.

1. Power BI Complete Introduction

₹2,000

Power BI Ecosystem overview & modern Data Visualization principles
Traditional BI vs Self-Service BI (SSBI) comparison
Cloud-based BI vs On-Premise BI architectures
Power BI Product Suite: Desktop, Service, Report Server, Mobile apps
End-to-end flow of work in Power BI Desktop & Architecture
Brief history, evolution, and version updates of Microsoft BI

2. Desktop Installation & UI Overview

₹2,000

Installing and setting up Microsoft Power BI Desktop
Core building blocks: Datasets, Visualizations, Reports, Dashboards & Tiles
Understanding the Interface: Ribbon, Fields Pane, Visualizations Pane, Canvas
Working with the 3 Views: Report View, Data View, and Model View
Introduction to Power Query Editor for ETL (Extract, Transform, Load)

3. End-to-End Power BI Workflow

₹2,000

Connecting to data sources (Excel workbooks, CSV, SQL databases, Web URLs)
Importing data into Power BI Desktop & Power Query Editor
Transforming raw datasets with Power Query data cleaning
Modeling relationships in Power Pivot Relationship View
Creating dynamic DAX measures and calculated columns in Data View
Publishing reports to Power BI Service and sharing with teams

4. Power Query: Extract, Transform & Load

₹2,000

Data Transformation fundamentals & enterprise ETL pipeline benefits
Power Query Editor UI, Home, Transform, Add Column, and View ribbon tabs
Queries Pane, Data/Results Pane, Applied Steps, and Query Settings
Formula Bar & introduction to Advanced Editor (M Language Code)
Applying ETL changes and loading clean data into Power Pivot Data Model

5. Data Types & Filters in Power Query

₹2,000

Data types in Power Query & handling data type conversion errors
Auto-filtering and basic column filtering mechanisms
Text Filters: Starts with, Ends with, Contains, and Equals
Number Filters: Greater than, Less than, Between, and Top/Bottom N
Date Filters: Year, Month, Dynamic Relative Date, and Multi-column filters

6. Inbuilt Column Transformations

₹2,000

Renaming columns, Removing columns, and Removing other columns
Reordering, moving, and multi-level sorting of columns
Adding Custom Columns using M expressions and Conditional Columns
Splitting columns by delimiter, number of characters, and transitions
Merging columns, Pivot, Unpivot columns, and Transposing tables

7. Inbuilt Row Transformations

₹2,000

Promoting header rows / Use First Row as Headers option
Keep Top Rows, Keep Bottom Rows, and Keep Range of Rows
Keep Duplicates, Keep Errors, and error diagnostics
Remove Top Rows, Bottom Rows, Alternating Rows, Duplicates, and Blanks
Grouping rows and aggregation using Group By (Count, Sum, Avg)

8. Combine Queries: Append & Merge

₹2,000

Append Queries & Append Queries as New (Union Operations)
Batch combining multiple files of same schema from a folder using single query
Merge Queries (SQL Joins: Inner, Left Outer, Right Outer, Full Outer, Anti-joins)
Query management: Duplicate vs Reference queries
Enable Load, Include in Report Refresh, and Query Grouping

9. Power Pivot: Data Modeling & Relationships

₹2,000

Data Modeling introduction, Star Schema vs Snowflake Schema
Understanding relationships and Cardinality: 1-to-1, 1-to-Many, Many-to-Many
AutoDetecting relationships and creating/editing relationships manually
Active vs Inactive relationships and USERELATIONSHIP function
Cross-filter direction (Single vs Both) & referential integrity best practices

10. Enhancing Data Model with DAX

₹2,000

What is DAX (Data Analysis Expressions)? Syntax and Table/Column naming
Calculated Columns vs Measures (Row Context vs Filter Context)
Implicit Measures vs Explicit Measures
DAX Operators: Arithmetic (+, -, *, /), Comparison (>, <, =), Concatenation (&)
Logical Operators: && (AND), || (OR), ! (NOT)

11. DAX Function Categories & CALCULATE

₹2,000

Overview of DAX categories: Date & Time, Logical, Text, Math, Filter, Time Intelligence
The power of CALCULATE function: modifying filter context on the fly
FILTER, ALL, ALLEXCEPT, and ALLSELECTED functions
Time Intelligence: YTD, QTD, MTD, SAMEPERIODLASTYEAR, and DATEADD
Best practices for building modular measure tables

12. DAX Date, Time & Calendar Functions

₹2,000

Date extraction: YEAR, MONTH, DAY, WEEKDAY, and WEEKNUM
FORMAT function: formatting custom dates, month names, and day names
Current date functions: TODAY, NOW, and DATE constructor
Time calculations: HOUR, MINUTE, SECOND, and DATEDIFF
Building dedicated dynamic Date Dimension tables using CALENDAR and CALENDARAUTO

13. DAX Text, Logical & Error Handling

₹2,000

Text functions: LEN, CONCATENATE, LEFT, RIGHT, MID, UPPER, LOWER, TRIM, SUBSTITUTE
Logical branching: IF, TRUE, FALSE, NOT, OR, IN, and AND
Safe calculation handling: IFERROR and DIVIDE with alternative results
Multi-condition evaluation: SWITCH function (equivalent to nested IF / CASE)

14. DAX Math, Statistical & Iterator Functions

₹2,000

Rounding functions: INT, ROUND, ROUNDUP, and ROUNDDOWN
Math expressions: DIVIDE, EVEN, ODD, POWER, SIGN, SQRT, and FACT
Standard aggregation: SUM, MIN, MAX, AVERAGE, and COUNT
Iterator functions (X-functions): SUMX, MINX, MAXX, AVERAGEX, and COUNTX

15. Power View & Visual Canvas

₹2,000

Report View interface: Fields Pane, Visualizations Pane, Format Pane
Managing Visual Interactions: Filter, Highlight, or None
Configuring Default Visual Interaction behavior across charts
Page layouts, canvas background formatting, wallpaper, and grid alignments
Creating bookmark actions and custom navigation panels

16. Filters, Grouping, Binning & Sorting

₹2,000

Filter scope: Visual Level, Page Level, Report Level, and Drill-Through filters
Filter subtypes: Basic, Advanced, Top N, and Relative Date filtering
Creating text groups and numeric/date binning for distribution analysis
Sorting visuals by custom columns (Sort by Column feature)
Multi-level drill-down and drill-up hierarchies

17. Visualizing Trends & Advanced Charts

₹2,000

Line Charts, Area Charts, and Stacked Area Charts for time-series
Combo Charts: Line and Stacked Column Chart, Line and Clustered Column Chart
Ribbon Charts, Waterfall Charts for variance analysis, and Funnel Charts
Scatter plots, Bubble charts, Decomposition Tree, and Key Influencers visual

18. Visualizing KPIs & Executive Cards

₹2,000

Creating and formatting Gauge Visuals with target indicators
KPI Visuals with trend axis, status indicators, and goal targets
Single Card Visualizations, Multi-Row Cards, and new Card (Preview) features
Conditional formatting on visuals: background color, font color, data bars, icons

19. Power BI Service: Cloud Collaboration

₹2,000

Power BI Service cloud architecture & account creation
Publishing reports from Desktop to Cloud Workspaces
My Workspace vs App Workspaces (collaborative team workspaces)
Managing Cloud Datasets, Reports, and Workbooks
Live connection to datasets and row-level security (RLS) enforcement

20. Cloud Dashboards & Work Sharing

₹2,000

Building executive Cloud Dashboards in Power BI Service
Pinning individual visuals and pinning LIVE report pages to dashboards
Adding dashboard tiles: Web content, Images, Text boxes, Video widgets
Sharing dashboards, generating QR codes, and creating Power BI Apps
Configuring scheduled email subscriptions and alert notifications

21. Data Gateways & Scheduled Refresh

₹2,000

Introduction to On-Premises Data Gateways and how they operate
Standard Gateway vs Personal Gateway comparison
Connecting cloud reports to local databases via Gateway
Configuring automated scheduled dataset refresh (daily / hourly)
Monitoring gateway health, data credentials, and error handling

ANALYTICS ECOSYSTEM

Microsoft BI Tool Stack Mastered

Get hands-on expertise with all tools needed to design, build, and deploy production BI solutions.

🟡 Power BI Desktop

⚡ Power Query (M Code)

🧮 Power Pivot Data Modeling

📈 DAX Formulas & Measures

☁️ Power BI Service (Cloud)

📱 Power BI Mobile Apps

🛡 On-Premises Data Gateways

📋 Executive KPI Dashboards

CAREER ADVANCEMENT

High-Demand Career Opportunities

Microsoft Power BI is ranked the #1 Business Intelligence tool globally by Gartner Magic Quadrant.

📊 Power BI Developer

Develop end-to-end business intelligence dashboards, optimize DAX data models, and connect diverse enterprise data sources.

💼 Business Intelligence Analyst

Analyze revenue, marketing, operations, and financial metrics to provide executive stakeholders with actionable decision insights.

📈 MIS & Reporting Specialist

Automate recurring Excel and ERP reports into interactive, self-refreshing cloud dashboards with zero manual work.

Enroll in Power BI Masterclass

Learn with live datasets, 10+ end-to-end dashboard capstone projects, and official PL-300 exam certification guidance.

✓ 10+ Complete Dashboard Project PBIX Files Included
✓ 200+ DAX Formula Cookbook & Reference Guide
✓ PL-300 Microsoft Exam Question Prep & Guidance
✓ 1-on-1 Portfolio & Resume Review Sessions

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