New Batch  ·  Starts 7 June 2026  ·  Morning & Evening

Stop Dreaming.Start Earning.

Unlock your high-paying tech career as a Data Analyst. Beginner to Advanced, 100% practical job-oriented training in Power BI, SQL, Python, Azure & Microsoft Fabric.

Power BI DAX SQL Python Azure MS Fabric
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Next Batch Begins In
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7+
Years Industry Experience
4
Months · Complete Program
100%
Practical + Placement Support
6+
In-Demand Tools Covered
Your Transformation

From Unsure Future to a Data Career

See the difference real, mentor-led, industry-focused training makes.

Your Journey Now

Slow Growth · Unsure Future

Stuck, self-doubting and unsure where to go next.

  • ✕ Theory-heavy courses with no real projects
  • ✕ No mentor when you're stuck
  • ✕ No interview or resume support
  • ✕ Confusing roadmap, slow career growth
FabricBI Power BI

Salary Hike · Job में Lakh+/Month

Job-ready, confident and earning what you deserve.

  • ✓ 100% practical, production-level scenarios
  • ✓ 1-on-1 personal mentorship
  • ✓ Resume, Naukri, LinkedIn & mock interviews
  • ✓ Pay major fees only from your 1st salary (TC)
🎯

100% Practical Training

Hands-on from day one with real datasets, not slides.

🤝

Personalized Mentorship

Direct guidance from an industry expert, every step.

💸

Pay From 1st Salary (TC)

Training-cum-placement model designed around your success.

🚀

100% Placement Support

End-to-end help until you land the role.

Skill Set You Will Learn

Everything an Industry Analyst Uses

A complete, job-focused stack — built around what hiring teams actually want.

📊

Power BI

Build interactive reports & dashboards that tell real business stories.

🧮

DAX — Basic to Advanced

Master measures, time-intelligence & context for powerful analytics.

🗄️

SQL — Analytics Focused

Query, join & shape data with window functions and more.

🐍

Python — Data Handling

Automate, clean and analyse data with Pandas & NumPy.

☁️

Azure — Basics

Understand the cloud foundations that power modern BI.

🏭

Real-Time Industry Project

An end-to-end production-level project for your portfolio.

Course Syllabus · 4 Months

A Detailed, Module-by-Module Roadmap

Pick a track below to explore exactly what you'll master. DAX is woven through the Power BI track.

📊

Power BI + DAX

Reports, dashboards, data modeling & advanced DAX — beginner to advanced.

8Modules
40+Topics
01

BI & Power BI Foundations

  • Business Intelligence & analytics overview
  • Power BI ecosystem: Desktop, Service, Mobile, Report Server
  • Installation, licensing & workspace tour
  • The end-to-end BI workflow
02

Power Query & Data Transformation

  • Connecting to Excel, CSV, SQL, Web & folders
  • Cleaning, shaping & pivoting data
  • Merge & append queries, parameters
  • Intro to M language & data profiling
03

Data Modeling

  • Star vs snowflake schema
  • Fact & dimension tables, relationships & cardinality
  • Hierarchies & role-playing dimensions
  • Modeling best practices for performance
04

DAX — Basic to Advanced

  • Calculated columns vs measures
  • Row context vs filter context, CALCULATE & FILTER
  • Time-intelligence: YTD, MTD, QTD, YoY
  • Iterators (SUMX, AVERAGEX), variables, RANKX
05

Data Visualization

  • Chart selection & custom visuals
  • Drill-through, drill-down & bookmarks
  • Slicers, filters, tooltips & conditional formatting
  • Themes & report design principles
06

Dashboards & Storytelling

  • Executive KPI dashboard design
  • Mobile-optimized layouts
  • Data storytelling techniques
  • Performance tuning & optimization
07

Power BI Service & Security

  • Publishing, workspaces & apps
  • Datasets, dataflows & scheduled refresh
  • Gateways & data connectivity
  • Row-Level Security (RLS) & sharing
08

Real-Time Capstone Project

  • End-to-end healthcare / supply-chain dashboard
  • From raw data → model → insights
  • Portfolio-ready deliverable
  • Interview walkthrough preparation
🗄️

SQL — Analytics Focused

From core querying to window functions & building analyst-ready datasets.

8Modules
35+Topics
01

SQL & RDBMS Fundamentals

  • Databases, tables, keys & data types
  • SQL Server / PostgreSQL setup
  • How relational data is structured
  • Writing your first queries
02

Core Querying

  • SELECT, WHERE, ORDER BY, DISTINCT
  • Operators, aliases & TOP / LIMIT
  • Filtering with AND / OR / IN / BETWEEN
  • Pattern matching with LIKE
03

Functions & Conditional Logic

  • String, numeric & date functions
  • CASE expressions
  • NULL handling (COALESCE, ISNULL)
  • CAST & CONVERT
04

Aggregations & Grouping

  • GROUP BY & HAVING
  • SUM, COUNT, AVG, MIN, MAX
  • ROLLUP & multi-level grouping
  • Building summary reports
05

Joins

  • INNER, LEFT, RIGHT & FULL joins
  • SELF & CROSS joins
  • Joining multiple tables
  • Common join pitfalls & fixes
06

Subqueries & CTEs

  • Scalar & correlated subqueries
  • Common Table Expressions (CTEs)
  • Recursive CTEs
  • Writing readable, modular SQL
07

Window Functions ⭐

  • ROW_NUMBER, RANK, DENSE_RANK
  • LEAD & LAG
  • Running totals & moving averages
  • PARTITION BY for advanced analytics
08

Advanced SQL & Use Cases

  • Views, stored procedures & indexes
  • Query optimization basics
  • Cohort & funnel analysis
  • Preparing clean datasets for Power BI
🐍

Python — Basics for Data Handling

Practical Python to automate, clean & analyse data with Pandas.

7Modules
30+Topics
01

Python Fundamentals

  • Setup: Anaconda & Jupyter Notebook
  • Variables, data types & operators
  • Input / output & comments
  • Writing clean, readable code
02

Control Flow & Functions

  • if / elif / else & loops
  • Functions & arguments
  • Lambda functions
  • List & dict comprehensions
03

Core Data Structures

  • Lists & tuples
  • Dictionaries & sets
  • Indexing & slicing
  • When to use which structure
04

NumPy

  • Arrays & array operations
  • Indexing, slicing & reshaping
  • Broadcasting & vectorization
  • Basic statistics with NumPy
05

Pandas — The Analyst's Toolkit ⭐

  • Series & DataFrames
  • Reading CSV, Excel & SQL data
  • Filtering, sorting & groupby
  • Merge, join & pivot tables
06

Data Cleaning

  • Handling missing values
  • Removing duplicates
  • Type conversion & formatting
  • Detecting & treating outliers
07

Visualization & Automation

  • Matplotlib & Seaborn basics
  • Reading / writing files in bulk
  • Working with JSON & APIs
  • Simple data automation scripts
☁️

Azure — Cloud Basics for BI

The cloud foundations every modern data analyst should know.

5Modules
20+Topics
01

Cloud & Azure Fundamentals

  • What is cloud computing
  • Azure portal & core concepts
  • Subscriptions, resource groups & regions
  • Pricing & cost basics
02

Azure Storage

  • Blob storage & containers
  • Azure Data Lake Storage (ADLS)
  • Uploading & managing data
  • Access & security basics
03

Azure SQL Database

  • Provisioning an Azure SQL DB
  • Connecting from tools & Power BI
  • Querying cloud databases
  • Basic management
04

Data Movement

  • Intro to Azure Data Factory
  • Pipelines & data flows overview
  • Moving data to the cloud
  • Scheduling & triggers basics
05

Azure + Power BI

  • Connecting Power BI to Azure sources
  • Gateways & refresh in the cloud
  • Where Azure fits in the BI stack
  • Path toward Microsoft Fabric
🏭

Microsoft Fabric

Microsoft's unified, end-to-end analytics platform on OneLake.

7Modules
28+Topics
01

Introduction to Fabric

  • What is Microsoft Fabric & why it matters
  • Unified workloads overview
  • OneLake — the OneDrive for data
  • Capacity & licensing basics
02

OneLake & Lakehouse

  • Lakehouse architecture
  • Delta tables & files
  • Shortcuts & data sharing
  • Ingesting data into the lakehouse
03

Data Engineering

  • Fabric notebooks
  • Spark for data processing
  • Transformations at scale
  • Working with structured & semi-structured data
04

Data Factory in Fabric

  • Dataflows Gen2
  • Data pipelines
  • Orchestration & scheduling
  • Connecting multiple sources
05

Data Warehouse

  • Fabric Data Warehouse
  • T-SQL on the warehouse
  • Modeling for reporting
  • Warehouse vs lakehouse — when to use
06

Power BI in Fabric

  • Direct Lake mode
  • Semantic models
  • Reports directly on OneLake
  • Performance benefits
07

Governance & Deployment

  • Workspaces & roles
  • Deployment pipelines
  • Security & access control
  • Monitoring & best practices
Trainer Profile

Learn From an Industry Expert

Somnath Khatal, FabricBI trainer
7+
Years Exp.

Somnath Khatal

Healthcare & Pharma Data Architect · Power BI Developer

Worked With
MicrosoftOptumWalgreensRegeneron IQVIAAccredoAcariaClover HealthHealthComp
  • ✅Currently working with Microsoft on the Microsoft AI Chip Supply Chain project.
  • ✅Active on a US Healthcare Claims Analytics project.
  • ✅Deep expertise in Power BI, SQL, Python, Azure & Microsoft Fabric.
  • ✅Specialized in end-to-end data analytics, dashboards, ETL & data modeling.
  • ✅Teaches with real-time industry projects & production-level scenarios.
  • ✅Hands-on resume building, mock interviews & job-switch mentorship.
Core Expertise
📊
Power BI
🗄️
SQL
🐍
Python
☁️
Azure
🏭
MS Fabric
🔗
ETL & Modeling
Domain Expertise
🚚
DOMAIN 01

Microsoft AI Chip Supply Chain

  • 📦 Shipment Tracking
  • 🔄 Buy vs Sell Reconciliation
  • 💼 Settlement Analytics
  • 📈 Inventory & Forecast Reporting
  • ⏱️ SLA & Cycle-Time Analytics
  • 📊 Executive KPI Dashboard
⚕️
DOMAIN 02

US Healthcare Claims Analytics

  • 🔁 Claims Lifecycle (837 → Adjudication → 835)
  • 🚫 Denial & Rejection Analysis
  • 👥 Provider & Member Analytics
  • 💰 Payment & Revenue Tracking
  • 📊 Healthcare KPI Dashboard
  • 🔒 HIPAA-Compliant Reporting
Who Can Join

Eligibility & Batch Details

🌱

Freshers

Starting your career and want a strong, job-ready foundation in data.

🔀

Non-IT Background

Career switchers with 3.5+ years of experience & clear documents.

💼

Working Professionals

Upskill into analytics with flexible morning or evening batches.

📅
New Batch From
07 June 2026
🌅
Morning Batch
7:00 – 8:30 AM
🌙
Evening Batch
8:00 – 9:30 PM
Fees Structure

Flexible, Success-Linked Pricing

Two simple tracks. Fees are not fixed for the career-switch track — your teaching fee is linked to your first salary.

Freshers

One-time, all-inclusive program fee

₹30,000 / full course
  • ★ Complete 4-month program
  • ★ All tools: Power BI, SQL, Python, Azure, Fabric
  • ★ Real-time industry project
  • ★ 100% placement support
Most Popular · TC Model

Non-IT / Working Professionals

Clear documents + 3.5+ years experience required

At Enrollment (Teaching Fee)
₹25,000
  • ★ Your entire first salary is considered the teaching fee
  • ★ The ₹25,000 already paid is adjusted in that amount
  • ★ Remaining amount paid from your first salary, after placement
  • ★ Includes the 100% Job Placement Guarantee*
How The TC Model Works · Example
First Salary
₹1,00,000
→
Already Paid
₹25,000
→
Remaining Payable
₹75,000
✔ Fees are NOT fixed for this track
✔ Total teaching fee depends on your first salary
100% Placement Support

We Don't Stop Until You're Hired

📄

Resume Preparation

An ATS-friendly, role-targeted resume that gets noticed.

🧭

Naukri Profile Setup

Optimized profile so recruiters find and reach you.

🔗

LinkedIn Optimization

A standout profile that attracts the right opportunities.

🎤

Mock Interview Support

Realistic practice & feedback to walk in confident.

🔥 100% Job Placement Guarantee

For Non-IT candidates with 3.5+ years experience and clear documents.

Get In Touch

Ready to Switch?

Send an inquiry and we'll get back to you. Fastest response is on WhatsApp.

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Contact Details
📞
Call / Phone
+91 96049 83236
✉
Email
info@fabricbi.in
🕐
Batches
Morning & Evening