Numbers don’t mean anything on their own. Someone has to turn them into a story that helps a business make the right call. This course teaches you to be that translator.
Every business decision — what to launch, what to cut, where to spend — should be backed by data. But raw numbers in a spreadsheet don’t help anyone. They need someone who can clean the data, spot the patterns, and explain what it all means.
This course trains you in exactly that. You’ll learn Excel, SQL, and visualization tools like Power BI or Tableau, and practice turning messy datasets into clear, decision-ready reports. It’s less about memorizing formulas and more about learning to think like an analyst — asking the right questions of the data.
By the end, you’ll be able to take a raw dataset and turn it into insights a manager can actually act on.
25,000 Rs
90 Days
12
English, Tamil, Telugu
Digital, Physical
Career Outcomes
Every department now needs someone who can turn numbers into decisions. Once you complete this course, you can move into roles like:
Upcoming Batches
Pick the mode that fits your schedule — same curriculum, same mentors, same outcomes.
Mon – Fri · Live Interactive Classes
Reserve This BatchSat – Sun · Live Interactive Classes
Reserve This BatchMon – Fri · Chennai Campus
Reserve This BatchSat – Sun · Chennai Campus
Reserve This BatchTools You'll Use
Explore what you'll actually do with each tool in your analytics stack.
Admissions Open
Seats for the next batch are limited. If you've been thinking about a career in digital marketing, this is the moment to stop thinking and start learning.
Learners already building new careers
Only 5 seats left for this batch
Zero-cost EMI · 7-day refund policy
Course Curriculum
From Excel and SQL to AI-assisted analytics — a curriculum built for how analysts work in 2026.
Career Outcomes
Our learners get placed at these companies — real hiring partners, not a wishlist.
Delivery Framework
Explore an interactive step-by-step journey.
Guided onboarding and basics
Expert-Led Structured modules
Hands-On Practice
Industry Tool Mastery
Portfolio and interview prep
Not stock photos. Not made-up numbers. Actual students, actual companies, actual offer letters.
Aravind K.
Software Engineer
Zoho
Sneha R.
Data Analyst
Freshworks
Manoj P.
ML Engineer
Tredence
Divya S.
AI Developer
Infosys
Join the next batch and start your journey toward a real offer letter like these.
Book Your Free ConsultationGot Questions?
Course details, career outcomes, market demand, and placement support — all in one place.
You'll cover Excel, SQL, Power BI & Tableau, data cleaning, statistics for analysts, dashboarding, and business reporting — 12 modules in total, from fundamentals to a full capstone project.
Yes. Module 1 starts from the basics of how data is organized and analyzed — no prior spreadsheet, coding, or statistics background is assumed.
The full program runs 16 weeks across 12 modules, with both weekday and weekend batch options, online or offline.
Yes — every module includes practical exercises with real business datasets, and the course ends with a capstone project: a full analytics report and dashboard you build and present end-to-end.
Roles like Data Analyst, Business Analyst, Reporting Analyst, BI Analyst, and Analytics Associate are all realistic starting points.
Yes — many learners join from non-technical backgrounds. The curriculum is built to take you from zero to job-ready without assuming prior coding or analytics experience.
Minimal coding required. You'll learn SQL and basic scripting for data pulls, but most of the work is in spreadsheets and BI tools rather than programming.
Most start as a Data/Reporting Analyst, move to Senior Analyst within 1–2 years, then into Analytics Lead or specialist roles (BI Manager, Insights Lead) as experience builds.
Yes — the tools are evolving (AI-assisted dashboards, automated reporting), but nearly every business decision still needs someone who can read the data and explain what it means.
AI is automating routine chart-building and querying, which is exactly why this course includes AI-assisted BI workflows — so you're trained on the skills that matter more, like framing the right question and telling the story behind the numbers.
Practically every industry — retail, banking, healthcare, e-commerce, logistics, and consulting firms serving all of the above. It's one of the more portable skill sets across sectors.
Yes — many learners freelance or take on contract reporting work right after, since the skills (dashboards, SQL queries, Excel modeling) are exactly what small businesses hire freelancers for.
Yes — resume reviews, mock interviews, and direct referrals into our hiring partner network are included as part of the program.
We provide active placement support, not a guaranteed offer — outcomes depend on your portfolio, interview performance, and market conditions at the time you complete the course.
Resume and interview prep begin around Module 9, so you're ready to start applying as soon as you finish the capstone project — not months afterward.
Placement support isn't a one-time referral — you continue to get access to new openings, mentor check-ins, and mock interview practice until you land a role.
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