Dhivardhana IT Institute
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DataAnalytics&BIProgram:TurnDataintoDecisions

Learn to analyze business data, build dashboards, and drive decisions with Excel, SQL, and Power BI, and step confidently into a Data Analyst role.

Program LevelBeginner
Time Commitment5 Months
Weekly Load10-12 Hrs / Week
Delivery FormatHybrid

CourseOverview

Every department — marketing, sales, operations, finance — runs on data, and companies need analysts who can make sense of it quickly. This program teaches you SQL for querying data, Excel for structured analysis, and Power BI for building interactive dashboards that tell a clear story. You'll also learn how AI-assisted analytics features are speeding up reporting and anomaly detection, so you can focus on interpretation instead of manual number crunching. Case studies are drawn from sales, marketing, and operations scenarios so the skills map directly to real job requirements. By the end, you'll be able to take a raw dataset and turn it into a dashboard and recommendation a business team can actually act on.

Target Audience

  • Students
  • Freshers
  • Working Professionals
  • Career Switchers

Prerequisites

  • Basic Computer Knowledge

Career Outcomes

  • Data Analyst
  • Business Analyst
  • BI Analyst
  • Reporting Analyst

ProgramStructure

Our instructional format is built to translate academic concepts into production engineering. This course spans 4 Months of immersive, online training.

Syllabus & Tests

What You Learn

  • 10 Learning Modules
  • 20+ Practice Quizzes
  • 1 Capstone Portfolio Project
Real Projects

What You Build

  • 6 Production Projects
  • 30+ Hands-on Labs
  • 15+ Core Case Studies
Career Growth

Job Assistance

  • Industry-Recognized Certification
  • Dedicated Placement Assistance
Mentors & Classes

Live Help & Support

  • 90+ Hours Interactive Lectures
  • 1-on-1 Expert Mentorship
  • Doubt Support

LearningCurriculum

A high-octane roadmap spanning 5 Months. Master the stack through production-grade modules.

Module 01

Analytics Fundamentals & Excel

Build a foundation in analytical thinking and advanced Excel techniques.

Core Concepts

Analytical Thinking
Excel Formulas & Functions
Pivot Tables
Data Cleaning in Excel
Conditional Formatting
Excel Charts

Build Target

Sales Performance Analysis in Excel

Excel

Questions? Chat on WhatsApp

Technologies&Software

Master the industry standard software ecosystem. Build deep expertise in production-tested developer tools.

Programming Languages

SQL

SQL

Fundamentals

Query business data for reporting and analysis.

Business Intelligence

Power BI

Power BI

Intermediate

Build interactive dashboards for business stakeholders.

Tableau

Tableau

Intermediate

Visualize complex datasets for decision-making.

Developer Tools

Excel

Excel

Fundamentals

Analyze and model business data with spreadsheets.

Google Sheets

Google Sheets

Fundamentals

Collaborate on lightweight data analysis tasks.

AI Tools

ChatGPT

ChatGPT

Fundamentals

Summarize insights and draft report narratives.

Power BI Copilot

Power BI Copilot

Intermediate

Generate report summaries directly within dashboards.

PortfolioProjects

Build production-grade systems throughout this track. Every project is designed to mirror real business requirements and establish technical authority in your portfolio.

Mini ProjectBeginner1 Week

Sales Performance Dashboard

Students build an interactive dashboard tracking sales by region, product, and time period, practicing core BI skills like data modeling and slicers for stakeholder self-service. By the end, students walk away with a working, documented build that clearly demonstrates data modeling and dashboard design to recruiters and interviewers.

Core Specifications
  • Regional Sales View
  • Product Breakdown
  • Time Filters
  • KPI Cards
Deployment Tech Stack
Power BISQL
Portfolio Feature
Mini ProjectBeginner1 Week

HR Attrition Analytics Dashboard

An HR analytics dashboard analyzing employee attrition trends by department and tenure, helping students practice data cleaning and building meaningful KPIs for people-analytics use cases. The finished build is structured for a portfolio or GitHub profile, giving students a concrete example of attrition trends they can walk through in an interview.

Core Specifications
  • Attrition Trends
  • Department Breakdown
  • Tenure Analysis
  • KPI Summary
Deployment Tech Stack
Power BIExcel
Portfolio Feature
Guided ProjectIntermediate2 Weeks

Financial Reporting Dashboard

Students design a finance dashboard with profit and loss views, budget vs actuals, and drill-through reports, mirroring the reporting needs of a finance team at a mid-size company. Students finish with a polished, presentable deliverable and a clear narrative of the decisions behind budget vs actual for future employers to evaluate.

Core Specifications
  • P&L View
  • Budget vs Actual
  • Drill-Through Detail
  • Automated Refresh
Deployment Tech Stack
Power BIDAXSQL
Portfolio Feature
Guided ProjectIntermediate2 Weeks

Supply Chain & Inventory Analytics

An inventory analytics solution tracking stock levels, reorder points, and supplier performance across warehouses, giving students practice with multi-table data models and advanced DAX measures. This mirrors how real teams scope similar work, so students leave with both the artifact and a defensible explanation of their advanced dax choices.

Core Specifications
  • Stock Level Monitoring
  • Reorder Alerts
  • Supplier Scorecards
  • Warehouse Comparison
Deployment Tech Stack
Power BIDAXSQL Server
Portfolio Feature
Guided ProjectAdvanced3 Weeks

Marketing Campaign ROI Analysis Platform

Students consolidate multi-channel marketing data to calculate campaign ROI and customer acquisition cost, building an executive-ready dashboard with automated data refresh pipelines. The project is designed to be extended afterward, giving students a natural talking point about roi analysis during placement interviews.

Core Specifications
  • Multi-Channel Data Consolidation
  • ROI & CAC Metrics
  • Automated Refresh
  • Executive Summary View
Deployment Tech Stack
Power BIPower QuerySQL
Portfolio Feature
Industry ProjectAdvanced3 Weeks

Retail Chain Performance Intelligence Suite

A comprehensive BI suite for a retail chain covering sales, inventory, and customer analytics across stores, with row-level security so regional managers only see their own data. By the end, students walk away with a working, documented build that clearly demonstrates row-level security and data governance to recruiters and interviewers.

Core Specifications
  • Multi-Store Analytics
  • Row-Level Security
  • Customer Insights
  • Governance Documentation
Deployment Tech Stack
Power BIDAXRow-Level SecuritySQL
Portfolio Feature
Industry ProjectAdvanced2 Weeks

Executive KPI Command Center

Students build a single-pane-of-glass executive dashboard consolidating sales, finance, and operations KPIs, focusing on clarity, storytelling, and mobile-friendly layouts for leadership reviews. The finished build is structured for a portfolio or GitHub profile, giving students a concrete example of consolidated kpis they can walk through in an interview.

Core Specifications
  • Consolidated KPIs
  • Mobile Layout
  • Alerting
  • Storytelling Narrative
Deployment Tech Stack
Power BIDAXPower BI Mobile
Portfolio Feature
Capstone ProjectAdvanced4 Weeks

Enterprise Business Intelligence Capstone

A capstone BI platform integrating sales, finance, HR, and operations data into a governed semantic model with role-based dashboards, designed as a complete, presentation-ready analytics portfolio piece. Students finish with a polished, presentable deliverable and a clear narrative of the decisions behind role-based dashboards for future employers to evaluate.

Core Specifications
  • Unified Semantic Model
  • Role-Based Dashboards
  • Automated ETL
  • Governance & Security
  • Stakeholder Presentation
Deployment Tech Stack
Power BIDAXPower QuerySQL Server
Portfolio Feature
Credential Checked

CareerOutcomes

Drive Business Decisions with Data Analytics Skills. Business intelligence roles offer an accessible entry point into the data field, focusing on translating raw data into dashboards and reports that leadership teams rely on daily. This course builds practical skills in querying, visualization, and reporting, preparing learners for analyst roles across consulting, retail, and IT services where data-informed decision-making has become standard practice.

Target Job Roles

Business Analyst
0–2 Years

Gather requirements and build reports that support business decision-making.

Salary Outlook: ₹4–7 LPA

Data Analyst
1–3 Years

Analyze datasets and build dashboards using SQL and BI tools.

Salary Outlook: ₹6–10 LPA

Senior BI Analyst
3–6 Years

Design enterprise reporting frameworks and mentor junior analysts.

Salary Outlook: ₹10–16 LPA

BI Manager
6–9 Years

Lead the analytics function and align reporting with organizational strategy.

Salary Outlook: ₹16–24 LPA

Top Hiring Industries
RetailConsultingIT ServicesManufacturingFinTech

In-Demand Recruiter Skills

SQLExcelPower BIData VisualizationCommunication

Industry Credentials

  • Microsoft Power BI Certification
  • Google Data Analytics Certificate

Recruitment Network

DeloitteTCSCognizantWiproAccenture

StudentSuccessStories

Read direct feedback and career outcomes from students who have completed this learning path.

Alumni Review

Learning SQL, Excel, and Power BI together made it easy to understand business reporting. The case studies were very practical.

Nikhil Joshi

Data Analyst · Persistent Systems

FrequentlyAskedQuestions

Have questions about this program? Review our comprehensive breakdown of curriculum, requirements, and logistics.

Still have questions?

If you cannot find the answer to your query in our FAQ database, our academic advisors are available for direct consultations.

Who is this Data Analytics course designed for?

This course is ideal for graduates, business professionals, and anyone who wants to move into analyst or BI roles, where the focus is on interpreting data and driving business decisions rather than building models from scratch. Many of our learners join with different starting points, so the pacing is designed to keep both newcomers and quick learners engaged throughout.

Do I need coding experience to join this course?

No extensive coding background is required. You'll learn SQL and basic scripting as part of the course, but the emphasis is on analytical thinking and tools rather than heavy programming. The early sessions are paced deliberately so no one falls behind before the core concepts click into place.

Is this course appropriate for beginners?

Yes, the course is structured for beginners, starting with data fundamentals and Excel before moving into SQL, dashboards, and business intelligence tools used in real analyst roles. Most beginners find the pace comfortable once they get past the first couple of modules and start building things.

Will I receive a certificate at the end of the course?

Yes, a certificate is issued after you complete all modules and your final analytics project, which you can include on your resume to demonstrate practical BI and analytics skills. The certificate is tied to demonstrated project work rather than just attendance, so it carries more weight with employers.

Does this course include placement assistance?

Yes, we provide resume support and interview preparation tailored to analyst and BI roles, along with introductions to hiring partners actively seeking data analytics talent. Our team works closely with hiring partners to understand what skills they're actually screening for right now.

Will I work on real business-style projects?

Yes, you'll analyze realistic business datasets and build dashboards that answer specific business questions, similar to the kind of reporting and analysis expected in entry-level analyst roles. Working through these builds the kind of hands-on confidence that's hard to get from tutorials alone.

Is there an internship track available?

This course doesn't include a formal internship, but the project work is designed to closely mirror real analyst tasks, giving you practical experience you can speak to in interviews. It's a meaningful way to show employers you can apply your skills beyond structured coursework.

Can working professionals take this course part-time?

Yes, the course is scheduled around evenings and weekends with recorded sessions, making it manageable for working professionals looking to upskill into analytics roles. Many of our students are working professionals, so the course structure has been refined specifically around this constraint.

Will I learn SQL as part of this course?

Yes, SQL is a core part of the curriculum since it's essential for querying and analyzing data in almost every business intelligence and analytics role you'll apply for. This reflects current industry practice, so the skills you build stay directly relevant to what employers are actually looking for.

Is Power BI or Tableau covered in the course?

Yes, you'll learn to build interactive dashboards and reports using industry-standard BI tools, which are widely used by companies to visualize data and support business decision-making. We keep this part of the curriculum updated regularly to match how the technology is actually used in the field today.

Will I learn Excel skills beyond the basics?

Yes, you'll go beyond basic spreadsheets into advanced formulas, pivot tables, and data modeling techniques that analysts use daily to clean and summarize data before deeper analysis. This is one of the areas where hands-on practice makes the biggest difference in how confident you feel afterward.

Is this course focused more on business or technical skills?

The course blends both, but leans toward business impact, teaching you how to translate data into insights that support decisions, rather than deep technical model-building covered in data science tracks. Understanding this well will also make it easier to pick up related tools and concepts down the line.