Program Highlights Engineered for Career Breakthroughs
A high-intensity, career-first learning curriculum developed alongside industry architects to deliver tangible production competence, verified credentials, and guaranteed corporate experience.
6 Months Instructor-Led
Live interactive classes led by Senior Engineers & Tech Leads from top product firms. 150+ hours of live instruction, recorded sessions, and dedicated weekly 1-on-1 doubt clearing.
IBM Learning Ecosystem Access
Authorized access to the IBM SkillsBuild enterprise learning portal, official cloud tools, and verified IBM credentials that authenticate your skills to global employers.
Microsoft Learning Ecosystem Access
Direct access to Microsoft Learn resources, real cloud sandbox architectures, and scenario-based hands-on exercises aligned with industry certification standards.
Projects: Hands-on Portfolio
Build 10+ production-grade end-to-end applications deployed to GitHub and cloud infra. Create a public portfolio of real architectures that impresses technical interviewers.
Credentials: Credential Pathways
Receive verifiable digital badges and accredited certificates recognized across 500+ recruitment partners. Directly shareable on LinkedIn, resumes, and candidate profiles.
Internship*: 6-Month Paid Corporate Internship*
Guaranteed entry into real corporate project teams upon completing capstones. Earn an assured monthly stipend along with an official corporate experience letter.
What You Will Learn
Comprehensive curriculum engineered by Staff Engineers to bridge theoretical concepts and production deployment.
Master enterprise spreadsheet architecture, automation, and complex financial analysis.
- ✓ Advanced Formulas: INDEX-MATCH, XLOOKUP, Dynamic Arrays, and Nested Logic
- ✓ Power Query (M Language): Data extraction, cleansing, transformation, and automated unpivoting
- ✓ Data Modeling with Power Pivot & DAX: Calculated columns, measures, and relationship management
- ✓ Scenario Analysis: Goal Seek, Solver, What-If Analysis, and executive Monte Carlo simulations
Extract, manipulate, and aggregate massive datasets across enterprise relational databases.
- ✓ Advanced SQL Syntax: Joins (Inner, Left, Right, Full Outer, Cross), Subqueries, and CTEs
- ✓ Window Functions: ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, and Rolling Averages
- ✓ Query Optimization: Indexes (B-tree), execution plan analysis, and partition querying
- ✓ Database Schemas: Star schema, Snowflake schema, and ETL staging normalization
Utilize Python scientific computing libraries to uncover hidden statistical correlations.
- ✓ Python Scientific Stack: NumPy, Pandas, Scipy, Matplotlib, and Seaborn visualization
- ✓ Statistical Analysis: Hypothesis testing, Pearson/Spearman correlation, and confidence intervals
- ✓ Data Wrangling: Handling missing values, categorical encoding, and datetime parsing
- ✓ Automated PDF and CSV analytical reporting scripts with Python scheduling
Create interactive executive dashboards that drive strategic corporate decision making.
- ✓ Power BI Desktop: Data ingestion from multi-cloud and on-premise relational sources
- ✓ Advanced DAX Measures: Time Intelligence (YTD, MTD, YoY growth), CALCULATE modifiers, and filter contexts
- ✓ Data Storytelling: Drill-through actions, tooltips, bookmarks, and cross-filtering interactions
- ✓ Power BI Service: Workspace governance, automated scheduled refresh, and row-level security (RLS)
Design enterprise visual reports, spatial maps, and dynamic parameters in Tableau.
- ✓ Tableau Architecture: Data blending, joins, extracts, and live connection optimization
- ✓ Calculated Fields, Level of Detail (LOD) Expressions (FIXED, INCLUDE, EXCLUDE)
- ✓ Advanced Visualizations: Treemaps, Gantt charts, Pareto charts, and geospatial mapping
- ✓ Tableau Server & Online: Publishing workbooks, permissions, and embedding in web portals
Incorporate machine learning models and generative AI to forecast future business trends.
- ✓ Predictive Modeling: Time-series forecasting (ARIMA, Prophet), linear trendlines, and logistic regression
- ✓ Customer Lifetime Value (CLV) and retention modeling for recurring revenue platforms
- ✓ Generative AI Analytics: Querying databases with natural language LLMs and automated report summarization
- ✓ Capstone Presentation: Delivering business insights and ROI metrics to C-suite stakeholders
Tools & Technologies
Hands-on enterprise stack used across the program.
6-Month Career Transition Roadmap
A structured, milestone-driven progression designed to take you from foundational concepts to production-grade deployment and enterprise employment.
Foundations & Core Engineering
Master fundamental syntax, systems architecture, statistical principles, and core tooling required to build reliable technical foundations.
Advanced Implementation & Labs
Deep-dive into production frameworks, cloud integrations, automated pipelines, and enterprise-grade hands-on laboratory architectures.
Guaranteed Corporate Internship
Work on real corporate projects during your guaranteed 6-month paid internship* with monthly performance stipends and verified industry credentials.
Placement & Career Advancement
Access 1-on-1 interview preparation, resume branding, mock evaluations, and direct recruitment pathways across our 500+ corporate partners.
Production Capstone Projects
Build a portfolio of enterprise-grade projects evaluated by working tech leaders.
Omnichannel Retail Executive BI Dashboard
End-to-end analytical pipeline analyzing 10M+ transaction rows, customer retention cohorts, and CAC/LTV dynamics.
Automated Corporate P&L & Cash Flow Modeler
Interactive scenario planner and financial variance dashboard with predictive quarterly revenue forecasting.
SaaS Product Churn & Feature Adoption Analyzer
User lifecycle funnel and retention analysis dashboard pinpointing exact friction points in enterprise user onboarding.
AI-Powered Inventory & Demand Forecasting Model
Automated supply chain dashboard combining historical stock turns with external seasonal trend forecasting.
Top 50 SQL Interview Questions for Data Science & Analytics (2026)
Crack tier-1 data analytics technical rounds with real-world SQL queries, Window Functions (ROW_NUMBER, DENSE_RANK), CTEs, indexing optimizations, and enterprise interview tips.
Career Opportunities & Outcomes
Prepare for top-tier roles across our 500+ corporate recruitment partners.
High-Demand Career Tracks:
Frequently Asked Questions
Everything you need to know about admissions, curriculum, and internships.
This program is beginner-friendly and starts from fundamental core principles before advancing to production-grade enterprise implementations. Prior exposure to basic computing or programming is helpful but not mandatory.
Upon fulfilling course benchmarks and capstone assessments, you are placed into a guaranteed 6-month corporate paid internship* offering competitive monthly performance stipends with verified corporate experience letters and industry credentials.
You will earn official credentials and digital badges aligned with IBM Analytics Credential, alongside an official AI Campus Certificate of Mastery that is verifiable on LinkedIn and recognized by 500+ corporate hiring partners.
The program fee of ₹80,000 (inclusive of GST) can be paid via 0% interest no-cost EMI starting from ₹6,666/month with zero down payment required.
Graduates qualify for high-growth roles in AI & Data with corporate salary packages typically spanning from ₹6 - 16 LPA, backed by our dedicated 100% placement support team.
Confused about your career path? Don't wait — talk directly to a mentor.
Get transparent, personalized guidance on curriculum, eligibility, scholarship waivers, and the guaranteed monthly paid corporate internship*. No sales pressure — just honest advice from working tech leaders.
