Modern data analytics, taught the way it's actually done in 2026 — SQL and Power BI as the foundation, AI agents and automated workflows on top. You'll ship a working pipeline in two evenings.
100% free · live on Zoom · taught by an IIT Jodhpur M.Tech working in data full-time
Try it. Ask the agent a business question:
This is session 2. You'll build the agent that does this.
"Why did revenue drop in the South last quarter?" Here's what answering it costs, before and after.
Export, clean, pivot, chart, format, send. Then someone asks a follow-up question.
Every question in the company routes through your inbox and waits its turn.
The report is a snapshot. It's out of date the moment you hit send.
Most hours go to pulling numbers, not deciding what they mean.
The agent reads the question, writes the query, runs it and explains the result.
Sales, ops, your manager — they ask in plain English and get a real answer.
The workflow runs on schedule and pings the team when something moves.
You design the system and interpret the output. That's the part that gets paid.
By the end of Day 2 this is running on your machine, on your own data.
Pick what you do now. See what the same work looks like once an agent does the fetching.
You rebuild the same monthly MIS by hand. VLOOKUP, copy, paste, format, mail. Three days gone, and it's stale by the time it lands.
A workflow pulls, cleans and refreshes it on schedule, and an agent answers the follow-up questions before they reach you. Your three days come back.
Reconciliations and variance reports live across twelve tabs. One wrong filter and nothing ties — and you find out in the review meeting.
Pandas matches the ledgers in seconds and the agent explains where the variance came from, not just that it exists.
You know the campaign worked. You can't prove which channel, city or offer did the work — so budget meetings turn into opinion contests.
Spend against conversions, sliced live. Ask "which city had the best ROAS in October?" and get the number while you're still in the meeting.
Attrition, the hiring funnel and headcount sit in three separate files, and every leader quotes a different number from a different one.
One dashboard that refreshes itself, plus a Monday-morning summary that sends on its own. You own the number instead of chasing it.
Your resume says "MS Excel, good communication skills." So does every other resume in that pile of four hundred.
A live dashboard and an AI agent you built, linked at the top. Interviewers click it — and you have ten minutes of real material to talk about.
Every analytics course opens with "assuming you're comfortable with Python," which is exactly the assumption you can't make.
This starts at zero, and AI closes the syntax gap. You describe what you want; you learn to check, fix and understand what comes back.
Regional sales in Power BI, connected to a live source so it updates without you.
Ask a question in plain language, get SQL, results and an explanation back.
A scheduled workflow that runs the numbers and pushes a summary to email or WhatsApp.
data and AI professionals India is projected to need by 2027
the size of that talent pool in 2022
AI and big data — the fastest-growing skill set employers name
Sources: Deloitte–NASSCOM AI talent gap report · World Economic Forum, Future of Jobs Report 2025
Six things, covered properly, instead of sixty covered in passing.
Missing values, duplicates, dates in four formats — handled with Pandas, not by hand.
SQL from the first SELECT to joins and grouping. Enough to pull any number you're asked for.
Power BI from a blank canvas, and which charts answer questions versus just look busy.
Give a model access to your data safely, and write the prompt that makes it reliable.
The failure modes, and how to verify a generated query before anyone acts on it.
Which roles hire beginners, what the JD is really asking for, and how to apply without a referral.
Both sessions are live and hands-on. Keep a laptop open — you'll be building alongside. Tap any session to see what's inside.
Real questions from Amazon and Netflix teams, and the work that answers them. Plus an honest look at which parts of that work AI has already taken, and which parts it has made more valuable.
The exact point your spreadsheet breaks — row limits, broken links, no version history — and what you reach for instead.
A genuinely messy sales file, fixed live: duplicates, missing regions, three date formats, numbers stored as text. You'll follow along on your own machine.
Roles, salary bands, and what to do about your specific background. Bring the awkward questions.
Where we left the data, and what it's about to become.
SELECT, WHERE, JOIN, GROUP BY written by hand first — because you can't check an agent's work if you can't read it. Then we hand the same job to an AI agent and compare.
Build the Power BI report, then wire the whole chain together so it runs on a schedule and sends its own summary.
What to learn next, in what order, which projects to build for your portfolio, and where to apply once you have them.
Senior Data Consultant, AllianceTek · M.Tech, Data Engineering & AI — IIT Jodhpur
Shiva spends his working week turning raw data into decisions companies act on — which is why the workshop is built around a real pipeline rather than slides. He mentors in Python, Excel and data-driven decision-making, and teaches the way he works: open the file, start typing, explain each decision as it happens, including the ones that go wrong.
Yes, completely. No card, no fee at any point. Register, join both sessions, done.
Because agents get queries wrong, and confidently. Day 2 teaches you to read and fix what the agent produces — that's the difference between someone who uses AI and someone companies hire to supervise it.
Yes. We start with Excel logic you already recognise and move up from there, one step at a time. AI closes a lot of the syntax gap; the workshop teaches the judgement it can't.
No. It's a live, hands-on session and we don't record it, so please block both slots before registering. If you can only make one day, come to Day 1 — Day 2 builds directly on it.
Yes, on completing both days. It's issued within 48 hours of the second session.
A laptop and stable internet. We'll email free tool setup steps the day before — about fifteen minutes of work, and nothing paid.
It's who the workshop is mostly built for. Commerce, arts, operations, sales — analytics hires from all of them, and none of it needs a computer science degree.
Free, live, and built for people starting from zero.
Limited seats · joining link sent on email and WhatsApp