Data Analyst Course in Bhilai with Placement | Power BI, SQL & Azure Training

Join the best Data Analyst training institute in Bhilai and become job-ready in 4 months. Learn SQL, Power BI, Azure & real-time projects. No coding required.

Why Learn Data Analytics?

  • High demand for Data + AI + Cloud skills
  • Real industry projects
  • Job-ready curriculum

Program curriculum

1
Data Foundations & Analytics Mindset
2
SQL Foundations
3
Advanced SQL & Data Analysis
4
Data Warehouse & Modeling
5
Power BI & Data Visualization
6
Cloud & Azure Fundamentals
7
Microsoft Fabric Platform
8
AI Enabled Analytics
9
End-to-End Enterprise Project
10
Job Readiness & Interview Preparation

COURSE OVERVIEW

Best Data Analyst Course in Bhilai for Freshers & Professionals

Looking for the best Data Analyst course in Bhilai? Our industry-focused training program is designed to help students, freshers, and working professionals build a successful career in data analytics.

As a leading Data Analytics training institute in Bhilai, we provide hands-on learning with real-time projects and tools like SQL, Power BI, Azure, and Microsoft Fabric.

This course is perfect for beginners and non-technical students who want to enter the IT industry with high-demand skills.

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TOOLS & TECHNOLOGIES

Tools Covered in Our Data Analyst Training in Bhilai

• SQL
SQL for Data Analysis
• Power BI
Power BI for Dashboard & Reporting
• Microsoft Azure
Microsoft Azure Cloud Basics
• Microsoft Fabric
Microsoft Fabric Platform
• Data Modeling & Warehousing
Data Modeling & Warehousing
analytics

Data Analyst Course in Bhilai with Placement

Power BI, SQL & Azure Training

Join the best Data Analyst training institute in Bhilai and become job-ready in 4 months, Learn SQL, Power BI, Azure & real-time projects. No coding required.

Data Analyst

4 Months
Duration

Real-Time
Projects

Placement
Support

Industry Expert
Trainers

Data Analyst Course Syllabus in Bhilai

Our Data Analyst training in Bhilai covers everything from basics to advanced level:

Topic Covered
  • Data Foundations & Analytics Mindset
  • SQL & Advanced SQL for Data Analysis
  • Data Warehouse & Data Modeling
  • Power BI & Data Visualization
  • Azure Cloud Fundamentals
  • Microsoft Fabric Platform
  • AI Enabled Analytics
  • End-to-End Data Analytics Project
  • Job Readiness & Interview Preparation
analytics

WHO SHOULD JOIN

Who Can Join This Data Analyst Course in Bhilai

Topic Covered
  • Freshers looking for IT jobs in Bhilai
  • Students from non-technical background
  • Graduates (BCom, BBA, BSc, BA, MBA)
  • Working professionals planning career switch
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Real-Time Projects in Data Analyst Course Bhilai

  • Sales Dashboard using Power BI
  • Customer Analytics Project
  • Business Insights Dashboard
  • End-to-End Data Analytics Project

Gain practical exposure through real-world projects as part of our Data Analytics course in Bhilai.

analytics

PLACEMENT SUPPORT

Placement Support for Data Analyst Course in Bhilai

We provide complete placement assistance to help you get jobs in Bhilai and other cities:

  • Resume Building
  • Mock Interviews
  • SQL & Power BI Interview Questions
  • Real Project Experience
  • Job Referrals
analytics
WHY CHOOSE US

👉 Why We Are the Best Data Analyst Institute in Bhilai

✓

Industry Expert Trainers

Learn from experienced professionals working on real-time data analytics projects and industry tools.

✓

Practical Learning Approach

Gain hands-on experience with live assignments, case studies, and practical implementation.

✓

Real-Time Projects

Work on real business datasets and build projects to strengthen your portfolio and confidence.

✓

Small Batch Size

Get personalized attention and better interaction with trainers during every session.

✓

Placement Support in Bhilai

Resume building, mock interviews, and placement assistance to help you start your career.

✓

Affordable Fees

Quality Data Analyst training at budget-friendly fees with flexible learning options.

Phase 1 : Data Foundations & Analytics Mindset

Understand how data is structured and how businesses use analytics

Topic Covered
  • Introduction to Data Analytics
  • Business KPIs (Revenue, Profit, Growth, Retention)
  • Project Architecture (Roles & Responsibilities)
  • Structured vs Unstructured Data
  • Relational Database Concepts
  • Tables, Rows, Columns
  • Primary Key vs Foreign Key
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Tasks Section
  • Calculate Total Sales
  • Identify Top Selling Products
  • Monthly Revenue Analysis
  • Basic Charts for Business Insights

Phase 2: SQL Foundations

Goal: Build strong database querying skills.

Topic Covered
  • SQL Basics
  • SELECT
  • WHERE
  • ORDER BY
  • COUNT, SUM, AVG
  • GROUP BY
  • HAVING
  • Filtering datasets
Practice
  • 50 SQL practice questions
  • Query writing exercises
Mini Project
Table
  • Customers
  • Orders
  • Products
  • Sales
  • â–¶Top selling products
  • â–¶Monthly revenue trends
  • â–¶Customer purchase frequency

Phase 3: Advanced SQL & Data Analysis

Goal: Develop job-level SQL skills

Topic Covered
  • Joins (INNER, LEFT, RIGHT)
  • Subqueries
  • EXISTS vs IN
  • Common Table Expressions (CTE)
  • CASE Statements
  • Window Functions
  • ROW_NUMBER
  • RANK
  • SQL
  • DENSE_RANK
  • Date Functions
  • Handling NULL Values
  • SQL Performance Basics
Practice
Join-based
Data Analysis
Aggregation
Case Studies
SQL Interview
Simulations
Outcome

Students can solve most
real-world SQL
interview questions.

Phase 4: Data Warehouse & Data Modeling

Goal: Learn how analytics data platforms are designed

Topic Covered
  • OLTP vs OLAP systems
  • What is Data Warehouse
  • Fact tables
  • Dimension tables
  • Star Schema
  • Data modeling principles
  • Relationship cardinality
  • Performance optimization basics
Activity
  • Design a Retail Sales Data Model
  • Tables
  • Sales Fact
  • Product Dimension
  • Customer Dimension
  • Date Dimension
Outcome

Students move from query writing
→ data architecture thinking.

Phase 5: Power BI & Data Visualization

Goal: Convert data into meaningful business dashboards

Topic Covered
  • Power BI Desktop overview
  • Data import (CSV, SQL)
  • Power Query data transformation
  • Data cleaning
  • Data modeling
  • DAX fundamentals
  • CALCULATE function
  • FILTER
  • SUMX
  • ALL/ALLEXCEPT
  • Time intelligence (YTD, YOY)
  • KPI creation
  • Row Level Security (RLS)
Project
  • Sales Performance Dashboard Reports
  • Revenue trend
  • Product performance
  • Regional sales analysis
  • Customer segmentation
Outcome
🎯

Students can build professional
dashboards used in companies.

Phase 6: Cloud & Azure Fundamentals

Goal: Understand how modern data platforms run in the cloud and how Microsoft Azure supports data storage, processing, and analytics pipelines.

1) Introduction to Cloud Computing
  • What is Cloud Computing
  • Cloud vs On-Premise Systems
  • IaaS vs PaaS vs SaaS
  • Benefits of cloud for data analytics
2) Microsoft Azure Fundamentals
  • Azure Portal overview
  • Resource Groups
  • Regions and availability zones
  • Cost basics
3) Azure Storage Services
  • Azure Blob Storage
  • Azure Data Lake basics
  • Structured vs unstructured storage
4) Azure SQL Database
  • Creating Azure SQL database
  • Connecting using SQL tools
  • Running SQL queries in the cloud
  • Difference between SQL Server vs Azure SQL
5) Azure Data Integration
  • Introduction to Azure Data Factory
  • ETL vs ELT pipelines
  • Data ingestion concepts
6) Azure Analytics Ecosystem
  • Azure Synapse overview
  • Microsoft Fabric overview
  • Where Power BI fits in the data platform
Outcome
  • Microsoft Azure Portal
  • Azure Storage (Blob / Data Lake)
  • Azure SQL Database
  • Azure Data Factory (Intro)

Phase 7: Microsoft Fabric Platform

Goal: Learn how analytics data platforms are designed

Topic Covered
  • Introduction to Microsoft Fabric platform
  • Fabric workloads overview
  • Fabric architecture
  • OneLake concept
  • Fabric workspace and items
  • Lakehouse vs Data Warehouse
  • Data pipelines (data ingestion)
  • Dataflow Gen2 transformation
  • Introduction to notebooks
  • Semantic models
  • Power BI integration
  • DirectLake concept

Phase 8: AI-Enabled Analytics

Goal: Learn how Artificial Intelligence is transforming modern data analytics.

Key Learning Areas
  • Introduction to AI in Data Analytics
  • AI-Powered Reporting with Microsoft Power BI Copilot
  • AI-Generated SQL Queries
Tools You Will Learn
  • Microsoft Power BI (AI visuals & Copilot)
  • Microsoft Copilot
  • ChatGPT for Analytics Assistance
  • Azure OpenAI Service
Outcome

Learn how to use AI tools to automate analysis, generate insights faster, and improve business decision-making.

Placement Support

Resume Building

LinkedIn Optimization

Mock Interviews

Portfolio Projects

Portfolio Projects

FAQ

Frequently Asked Questions

Get answers to the most common questions about our Data Analyst Course in Bhilai.

Students, working professionals, freshers, and anyone interested in data analytics can join.

No, coding is not mandatory. We start from basics and focus on practical tools like Power BI and SQL.

Yes, we provide resume preparation, interview guidance, and placement assistance.

You will learn SQL, Power BI, Excel, Azure, and Data Visualization concepts.

The complete Data Analyst training program duration is approximately 4 months.

Yes, students work on real-time projects for practical industry experience.