Turn Spreadsheets
Into Business Decisions.
Get Hired.
Not Excel formulas in isolation. You'll clean real business datasets, write advanced SQL queries, build Power BI and Tableau dashboards for actual clients, and deliver insights that drive real decisions — a portfolio companies hire analysts from.
The 90-Day Data Analytics Roadmap
From Excel fundamentals to delivering executive Power BI dashboards for real clients — mentor-guided every step of the way.
Real Datasets.
Real Business Decisions.
You won't be playing with sample files. You'll clean real client business data, write SQL that answers actual revenue questions, build Power BI and Tableau dashboards that get presented to mock client panels — the full analytics workflow from raw spreadsheet to boardroom decision.
Skills You'll Actually Master
Hands-on proficiency with every tool in the modern analytics stack — skills that show up in your published dashboards and SQL portfolios.
What You'll Analyse & Build
13 weeks of real analytics work — every module ends with a dashboard or SQL case study pushed to GitHub and reviewed by a senior analytics manager.
Real Dashboards You'll Actually Publish
Real business datasets, real SQL case studies, real published dashboards — the kind of portfolio that makes analytics hiring managers stop scrolling.
Your Data Analytics Journey
From your first Pivot Table to a published executive Power BI dashboard — every week ends with a real deliverable.
We Don't Stop Till
You're Hired as an Analyst
Data Analyst roles are among the highest-volume hiring categories in India — but they demand real dashboard portfolios, not just certificates. Our placement team connects your published work directly with analytics teams, consulting firms, and product companies hiring now.
From Excel Beginner to Data Analyst
Real analytics alumni. Real dashboards they published. Real offers that launched their careers.
The Accenture interviewer asked me to walk through a Power BI dashboard. I opened a live dashboard I'd built for a real retail client during the internship — DAX measures, drill-throughs, the works. They said it was the most polished work they'd seen from a fresher candidate that month. Offer came two days later.
The SQL case study round at Deloitte was what I was most worried about. But I'd spent weeks writing window functions, CTEs, and complex joins on real datasets during the internship. I finished their test in 30 minutes when they gave us 60. Got the offer two days later.
I switched from a back-office data entry job to analytics at 25. The Excel automation project I built — cutting a 6-hour monthly report to 12 minutes with Python — was what got me the TCS iON role. Nobody else in that hiring round had built something that actually saved a company real time.
Building the cohort retention analysis in SQL was the project that surprised WNS most in the interview. I explained the churn calculation logic, why I chose specific time windows, and backed every chart with the underlying query. They said it showed analytical thinking they usually only see in candidates with experience.
The hospital operations dashboard I built with row-level security became the centrepiece of my portfolio. Tiger Analytics' panel spent 20 minutes asking me about the data model design and the RLS implementation. It was the most enjoyable interview I've ever had — they were genuinely impressed by a fresher's work.
The marketing campaign dashboard I built in Tableau, blending Google Ads and email campaign data into one ROI view, is exactly the kind of work I do at Amazon now on day one. The internship didn't just teach me tools — it taught me how to think about what a business actually needs to see.
Your first SQL report.
Your first published dashboard.
Your first analyst offer.
Applications open for the next Data Analytics batch — only 12 seats. Free to apply. We'll call you in 30 minutes.
Free to apply. Merit-based selection. No spam, ever.