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.
CourseOverview
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.
What You Learn
- 10 Learning Modules
- 20+ Practice Quizzes
- 1 Capstone Portfolio Project
What You Build
- 6 Production Projects
- 30+ Hands-on Labs
- 15+ Core Case Studies
Job Assistance
- Industry-Recognized Certification
- Dedicated Placement Assistance
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.
Analytics Fundamentals & Excel
Build a foundation in analytical thinking and advanced Excel techniques.
Core Concepts
Build Target
Sales Performance Analysis in Excel
Questions? Chat on WhatsApp
Technologies&Software
Master the industry standard software ecosystem. Build deep expertise in production-tested developer tools.
Programming Languages
SQL
FundamentalsQuery business data for reporting and analysis.
Business Intelligence
Power BI
IntermediateBuild interactive dashboards for business stakeholders.
Tableau
IntermediateVisualize complex datasets for decision-making.
Developer Tools
Excel
FundamentalsAnalyze and model business data with spreadsheets.
Google Sheets
FundamentalsCollaborate on lightweight data analysis tasks.
AI Tools
ChatGPT
FundamentalsSummarize insights and draft report narratives.
Power BI Copilot
IntermediateGenerate 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.
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.
- Regional Sales View
- Product Breakdown
- Time Filters
- KPI Cards
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.
- Attrition Trends
- Department Breakdown
- Tenure Analysis
- KPI Summary
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.
- P&L View
- Budget vs Actual
- Drill-Through Detail
- Automated Refresh
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.
- Stock Level Monitoring
- Reorder Alerts
- Supplier Scorecards
- Warehouse Comparison
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.
- Multi-Channel Data Consolidation
- ROI & CAC Metrics
- Automated Refresh
- Executive Summary View
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.
- Multi-Store Analytics
- Row-Level Security
- Customer Insights
- Governance Documentation
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.
- Consolidated KPIs
- Mobile Layout
- Alerting
- Storytelling Narrative
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.
- Unified Semantic Model
- Role-Based Dashboards
- Automated ETL
- Governance & Security
- Stakeholder Presentation
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
Gather requirements and build reports that support business decision-making.
Salary Outlook: ₹4–7 LPA
Analyze datasets and build dashboards using SQL and BI tools.
Salary Outlook: ₹6–10 LPA
Design enterprise reporting frameworks and mentor junior analysts.
Salary Outlook: ₹10–16 LPA
Lead the analytics function and align reporting with organizational strategy.
Salary Outlook: ₹16–24 LPA
In-Demand Recruiter Skills
Industry Credentials
- Microsoft Power BI Certification
- Google Data Analytics Certificate
Recruitment Network
StudentSuccessStories
Read direct feedback and career outcomes from students who have completed this learning path.
“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.