POWER BI - FULLSTACK
About Course
Power BI – Full Stack is a comprehensive, industry-ready program designed to transform learners into skilled Business Intelligence (BI) professionals. This course covers the complete Power BI ecosystem — from data extraction and transformation to advanced analytics, visualization, and enterprise-level deployment.
Starting from foundational BI concepts, students progress through hands-on data modeling, DAX mastery, performance optimization, and real-world project execution. Whether you’re a beginner or an experienced analyst, this course ensures you gain the practical and technical expertise needed to create interactive dashboards, generate insights, and support data-driven decision-making in any organization.
By the end of the program, learners will confidently manage the entire Power BI workflow — integrating multiple data sources, building secure and optimized reports, and publishing them across various business environments.
Course Objectives
Pre-requisites
Basic understanding of Excel or data handling concepts will be helpful.
Familiarity with business or analytical thinking is an added advantage but not mandatory.
Duration
Duration: 4 Months
Class Timing: 8 Hours per Day
Includes: Access to recorded sessions
What You'll Learn
By the end of the course, you’ll be equipped to:
Build and manage the complete Power BI workflow — from data connection to dashboard publishing.
Perform data cleaning and transformation using Power Query and M language.
Design optimized data models with relationships, hierarchies, and schema principles.
Master DAX (Data Analysis Expressions) for advanced calculations and business logic.
Apply row-level security, themes, and visuals to create interactive and secure reports.
Implement end-to-end Power BI solutions with real-time datasets across multiple domains.
Who Can Join
Students and graduates aiming to start a career in Business Intelligence or Data Analytics.
Working professionals from IT, finance, or management looking to upskill in Power BI.
Entrepreneurs and business owners who want to visualize and understand their business data better.
Training Curriculum
Topics:
What is a Database? RDBMS vs NoSQL
Understanding SQL and its importance in data analytics
Installing MySQL / SQL Server & Workbench
Creating and managing databases & tables
Basic CRUD operations (SELECT, INSERT, UPDATE, DELETE)
Practice:
Create a sample “Sales_DB” database and insert records.
Run simple SELECT queries with WHERE & ORDER BY.
Topics:
Constraints: Primary Key, Foreign Key, Unique, Not Null
Data Types overview (INT, VARCHAR, DATE, DECIMAL)
Relationships: One-to-Many & Many-to-Many
Joins (INNER, LEFT, RIGHT, FULL)
Aggregations: COUNT, SUM, AVG, GROUP BY, HAVING
Practice:
Join multiple tables (sales, customers, products).
Find total revenue by region or product category.
Topics:
Subqueries and Nested Queries
Views & Indexes
Stored Procedures and Triggers
Window Functions (ROW_NUMBER, RANK, PARTITION BY)
Case Statements and Conditional Logic
Practice:
Write a query to rank top 5 products by sales.
Create a view for “Active Customers”.
Topics:
What is Power BI and Why It’s Used
Installing Power BI Desktop
Power BI Interface & Components Overview
Connecting to Data Sources (Excel, SQL, CSV)
Understanding Data Refresh & Auto Updates
Practice:
Connect Power BI to your SQL “Sales_DB”.
Load tables and explore basic visuals.
Topics:
Introduction to Power Query Editor
Data Cleaning: Remove Duplicates, Nulls, Replace Values
Column Splitting, Merging, and Data Type Conversion
Append vs Merge Queries
Applying Filters & Conditional Columns
Practice:
Clean and prepare sales and customer datasets.
Merge two data tables and transform for reporting.
Topics:
Understanding Data Models (Star & Snowflake Schema)
Creating Relationships between Tables
Hierarchies (Year → Quarter → Month)
Handling Many-to-Many relationships
Using the Manage Relationships tool
Practice:
Build a proper model for sales and region tables.
Verify relationships using Model View.
Topics:
Introduction to DAX
Calculated Columns vs Measures
Basic Functions: SUM, AVERAGE, COUNTROWS, DISTINCTCOUNT
Conditional DAX (IF, SWITCH)
Time Intelligence Functions (YTD, MTD, LY)
Practice:
Create DAX measures for Profit, Profit %, and Total Sales.
Calculate YoY Sales growth.
Project Title:
📊 “Regional Sales Performance Dashboard”
Objective:
Use SQL (for data extraction) + Power BI (for visualization) to create a regional sales analysis dashboard.
Tasks:
Clean and merge multiple tables in Power Query
Build DAX measures for KPIs
Create visuals for top products, regions, and monthly growth
Add slicers and filters
Topics:
Custom Visuals from Marketplace
Bookmarks, Drill-through, and Tooltips
Dynamic Visuals with Parameters
Row-Level Security (RLS)
Power BI Service – Publish, Share, and Schedule Refresh
Practice:
Publish dashboard to Power BI Service.
Apply role-based access control for managers vs analysts.
Topics:
Integrating Power BI with Excel & Power Automate
Connecting to APIs for real-time data
Using Power BI Gateway for scheduled refresh
Data Alerts and Notifications
Practice:
Automate report refresh with Power Automate.
Set up a Power BI alert when sales drop below target.
Project Title:
💼 “Company-Wide Sales & Operations Dashboard”
Objective:
Build a full-stack BI solution using SQL, Power Query, DAX, and Power BI Service.
Tasks:
Design & normalize database structure (SQL)
Build model & relationships (Power BI)
Create KPIs: Revenue, Profit, Targets, Region performance
Add interactivity & publish report to Power BI Cloud
Outcome:
A professional-grade, end-to-end BI solution ready for real-world analytics portfolios.
Topics:
Resume Building for BI Roles
Preparing for Power BI & SQL Interview Questions
Portfolio Presentation Tips
Optional Microsoft PL-300 Certification Overview