KSR Datavizon

AI-Powered Fabric Analytics

SQL, Power BI, Azure & Microsoft Fabric

Master the complete journey to becoming a Fabric Analytics Engineer, from SQL, Power BI, Python and Azure to Microsoft Fabric.

Curriculum Plan

NASSCOM AffiliatedISO 9001:2015 CertifiedStartup India Recognised

Our students work at

TCS

Infosys

Wipro

Capgemini

Deloitte

IBM

HCL

KPMG

PwC

Tech Mahindra

Persistent

Hexaware

LTM Limited

Nokia

TCS

Infosys

Wipro

Capgemini

Deloitte

IBM

HCL

KPMG

PwC

Tech Mahindra

Persistent

Hexaware

LTM Limited

Nokia

Duration6 MonthsLive Training

ModeLive Online OnlyMentor-Led

Next Batch12th October 20268:00 AM IST

TrainerMr. Ritesh10+ Years Industry Experience

Why Learn

Why AI-Powered Fabric Analytics?

In today's data-driven world, businesses need professionals who can:

Master SQL for analytics

Learn MySQL from installation to joins, aggregations, subqueries and indexing, then apply it in a real-life football players project.

Analyze data with Python

Use Pandas and NumPy for data cleaning, filtering, groupby and window functions, and scale them up with PySpark.

Build Power BI dashboards

Create interactive reports with Power Query, data modeling, DAX measures, drill-through, forecasting and Power BI Service.

Build cloud pipelines on Azure

Work with Azure Blob Storage, Azure Data Lake Storage, Azure Data Factory and Azure SQL Database end to end.

Unify analytics with Microsoft Fabric

Build Lakehouses, Warehouses, Dataflows Gen2, Notebooks and Semantic Models on OneLake with Direct Lake.

Use Copilot and Real-Time Intelligence

Apply Copilot across Fabric and Power BI, and build real-time pipelines with Eventstream, Eventhouse and KQL dashboards.

Who Can Learn

Built for engineers & switchers targeting strong outcomes.

Final-year Students

Graduate ready with deployed projects, not just a degree.

Software Developers

Backend or frontend devs ready to upskill.

Data Analysts

Already use SQL & Excel? Level up to advanced engineering.

Career Switchers

Non-tech professionals planning a complete pivot into technology.

Working Professionals

Upskill in evenings & weekends, with full LMS access for revision.

Business Managers

Interpret dashboards to make data-driven hiring and operational decisions.

About the Course

Structured, project-based learning.

Go beyond passive video playlists. Learn through mentor-guided coding sprints designed to build real-world engineering skills.

16-Week Structured Sprints

In this course, you'll master the complete journey to becoming a Fabric Analytics Engineer, starting from SQL, Power BI, Python and Azure to Microsoft Fabric.

100% Live Practice & Feedback

Sessions are 100% live and interactive, taught personally by industry practitioners. You will work through real-time projects, from SQL and Python data cleaning to end-to-end Fabric solutions.

End-to-End Career Support

Career support continues until you land your first interview call. We help with resume building, interview guidance and corporate etiquette, along with free career guidance throughout the course.

OUTCOMES

What you walk away with

Course Completion Certificate
LinkedIn & Naukri profile building
ATS-friendly resume preparation
Support till you get interview calls
Interview prep - tips & tricks
Soft skills & corporate etiquette
365 days of LMS & recordings access

03Meet Your Trainer

Taught by active practitioners.

Lead Trainer · AI-Powered Fabric Analytics

Mr. Ritesh

Industry expert with over 10 years of experience shipping production applications.

10+Years Industry

1,500+Mentees Trained

LiveOnline Sessions

4.8Trainer Rating

04Tools & Frameworks

The stack you use on the job.

Work confidently using industry platforms across core deployment targets.

SQL

Python

Power BI

DAX

Power Query

PySpark

Microsoft Azure

Azure Data Lake Storage

Azure Data Factory

Azure SQL Database

Microsoft Fabric

OneLake

Fabric Copilot

Curriculum Plan

Step-by-step curriculum roadmap.

Progress logically from foundational concepts to advanced, production-ready engineering skills.

SQL

SQL for Fabric Analytics

✓ Installing MySQL and connecting to the server✓ Creating databases and tables, DDL, DML and DCL✓ Insert, update, delete, describe and alter✓ Importing and exporting CSV data, backup and restore✓ Data analysis with aggregations, sorting, filtering and grouping✓ Joins, subqueries, indexing and built-in functions✓ Real-life project: Football players data analysis

PYTHON

Python & PySpark for Data Analysis

✓ Pandas and NumPy fundamentals✓ Reading Excel, CSV and other files✓ Filtering, selecting, groupby and sorting✓ Joins and window functions✓ Python data cleaning mini project✓ PySpark basics: DataFrames, RDDs, reading data and joins✓ Spark SQL and PySpark data cleaning project

POWER-BI

Power BI Fundamentals & Data Modeling

✓ Business intelligence concepts and Power BI interface✓ Importing data and building your first report✓ Power Query: cleaning, transforming, pivot and unpivot✓ Relationships, cardinality and calculated columns✓ DAX measures, CALCULATE and time intelligence✓ Filters, hierarchies, parameters and what-if analysis✓ Data storytelling and Power BI Service

ADVANCED-PBI

Advanced Power BI, Security & Cloud

✓ Grouping, forecasting, scatter plots and drill-through✓ Conditional formatting and report creation✓ Row Level Security (RLS) and Managing Roles✓ Data refresh and Power BI Gateway✓ Power BI Cloud and DAX case studies✓ Power BI report development project

AZURE

Azure for Analytics

✓ Cloud computing and Azure fundamentals✓ Azure Blob Storage and storage accounts✓ Azure Data Lake Storage Gen1 vs Gen2✓ Azure Data Factory: pipelines, datasets, triggers and integration runtimes✓ Azure SQL Database setup and configuration✓ End-to-end pipeline: ADLS to ADF to Azure SQL

FABRIC

Microsoft Fabric, OneLake & Lakehouse

✓ Introduction to Fabric: components, architecture and workloads✓ Fabric vs Azure comparison and trial types✓ OneLake and Lakehouse: uploading files, Delta tables and shortcuts✓ Fabric Warehouse: tables, T-SQL and fact & dimension tables✓ Dataflows Gen1 vs Gen2 and Fabric Data Factory✓ Fabric Notebooks and Semantic Models with Direct Lake

FABRIC-ADVANCED

Fabric Security, Real-Time Intelligence & Copilot

✓ Data masking, RLS, dynamic and static RLS, Object Level Security✓ OneLake security and Fabric admin, capacity and governance✓ Real-Time Intelligence: Eventstream, Eventhouse and KQL✓ KQL Database, Queryset and Real-Time Dashboards✓ Copilot in Fabric across Data Engineering, Warehouse and Power BI✓ Capstone projects: end-to-end Fabric solutions with DFs, LH, WH and Notebooks

08Outcomes

Target industry positions directly.

↗ 15,200+ jobs

Power BI Developer

6 - 15 LPA

Design operational metrics dashboards and optimize DAX queries.

↗ 22,100+ jobs

Data Analyst

5 - 12 LPA

Query business pipelines and summarize product trends.

↗ 9,400+ jobs

MS Fabric Specialist

10 - 22 LPA

Design lakehouse pipelines and coordinate OneLake storage layers.

↗ 11,800+ jobs

BI Analyst

6 - 14 LPA

Partner with product owners to deliver reporting solutions.

↗ 8,300+ jobs

Business Intelligence Consultant

9 - 18 LPA

Consult on data models and automate governance configurations.

↗ 6,500+ jobs

Analytics Engineer

8 - 18 LPA

Transform raw warehouse ingestions into clean visual models.

1.5 Lakh+

Active BI Analyst Openings in India

₹6 - 12 LPA

Median Power BI Analyst Salary

20% YoY

Increase in Microsoft Fabric Inquiries

97%

Fortune 500 Companies Using Power BI

Alumni Actions

Real reviews from successful students.

Join a thriving network of industry professionals. Read what our graduates say about their career transformation journey.

★★★★★

Santhosh sir was excellent in explaining DAX. I used to struggle with filter context, but the way he broke it down with visual tables made it click.

Vishnu Chaudhari

BI Consultant · Capgemini

+70% Salary Hike

★★★★★

The course is highly practical. We built end-to-end dashboards using real e-commerce data and published them on Power BI Service. Understanding licensing and workspaces was very useful.

Prathibha C.

Data Analyst · Wipro

Career Switch

★★★★★

I completed my B.Tech in electrical engineering and was struggling to find software roles. The Power BI dashboard design principles and Fabric data lakehouse integration practice gave me enough projects to display.

Manoj K.

BI Engineer · Deloitte

Placed as Fresher

★★★★★

Santhosh sir was excellent in explaining DAX. I used to struggle with filter context, but the way he broke it down with visual tables made it click.

Vishnu Chaudhari

BI Consultant · Capgemini

+70% Salary Hike

★★★★★

The course is highly practical. We built end-to-end dashboards using real e-commerce data and published them on Power BI Service. Understanding licensing and workspaces was very useful.

Prathibha C.

Data Analyst · Wipro

Career Switch

★★★★★

Manoj K.

BI Engineer · Deloitte

Placed as Fresher

★★★★★

Santhosh sir was excellent in explaining DAX. I used to struggle with filter context, but the way he broke it down with visual tables made it click.

Vishnu Chaudhari

BI Consultant · Capgemini

+70% Salary Hike

★★★★★

The course is highly practical. We built end-to-end dashboards using real e-commerce data and published them on Power BI Service. Understanding licensing and workspaces was very useful.

Prathibha C.

Data Analyst · Wipro

Career Switch

★★★★★

Manoj K.

BI Engineer · Deloitte

Placed as Fresher

★★★★★

Santhosh sir was excellent in explaining DAX. I used to struggle with filter context, but the way he broke it down with visual tables made it click.

Vishnu Chaudhari

BI Consultant · Capgemini

+70% Salary Hike

★★★★★

The course is highly practical. We built end-to-end dashboards using real e-commerce data and published them on Power BI Service. Understanding licensing and workspaces was very useful.

Prathibha C.

Data Analyst · Wipro

Career Switch

★★★★★

Manoj K.

BI Engineer · Deloitte

Placed as Fresher

Career Launch

Placement networks that act actively.

Our active alumni ecosystem supports you with live workshops, direct placement updates, and mock practice panels until you get hired.

200+

Hiring Partners

85%

Avg. Salary Hike

2,400+

Mentees Placed

6 wks

Avg. Time to Offer

Resume & Portfolio Review

ATS-friendly resume rewrite, GitHub audit, and capstone project documentation review.

LinkedIn & Naukri Optimisation

Profile rebuild with recruiter-targeted keywords, headline crafting, and weekly content tips.

Mock Interviews

Two structured mocks: one technical (live coding + system design), one HR/behavioural.

Recruiter Connections

Curated job openings and direct intros via our network of 200+ hiring-partner companies.

Soft Skills & Etiquette

Communication, client handling, and corporate-readiness coaching from senior practitioners.

Lifetime Alumni Access

Slack community, referral pipeline, and ongoing peer support - useful long after placement.

Priority Enrollment Open

Secure your seat for the upcoming batch.

Talk to our team about flexible pacing, project options, and scheduling before you enroll.

Frequently Addressed Inquiries

Who is this course for?

Aspiring data analysts, business analysts, Excel users, final-year students, and anyone looking to start a career in business intelligence.

What tools will I learn?

MySQL, Python (Pandas, NumPy, PySpark), Power BI with Power Query and DAX, Azure (Blob Storage, Data Lake Storage, Data Factory, SQL Database), Microsoft Fabric (OneLake, Lakehouse, Warehouse, Dataflows, Notebooks), Real-Time Intelligence and Copilot.

Is placement assistance provided?

Yes, full career assistance is provided including resume building, LinkedIn optimization, mock interviews, and job referrals.

Enroll Now

Get a callback within 2 hours