LIVE Advanced Data Analyst Bootcamp (with AI & Leadership): Ship Agents, Manage People & Deliver Strategy

Session 3 - Project Planning the Corporate Way: Charter, AIMS Grid, Estimation (Sat 24th Oct)

How a project really starts in a company · The project charter · The AIMS grid meeting, run live in pods as Marketing, Finance, Ops and Supply Chain · Stakeholder mapping and the decision contract · Estimation: work breakdown, three-point estimates, buffers · Personal branding and a 90-day plan · Scenario: the project estimate conundrum

Output: A charter, an AIMS grid and an estimate leadership signs off, plus your 90-day LinkedIn plan

Session 4 - Claude Code: The Expansion Simulator That Ends the Marketing vs Finance Fight (Sun 25th Oct)

Marketing's model vs finance's model · Claude Cowork turns forty kitchen files into unit economics, with row counts reconciled · Designing the levers: budget by channel, CAC, kitchens, price, delivery fee, churn · Claude Code builds the simulator web app with Excel export · Verifying against one real month · Scenario: the simulator that flattered marketing

Output: Tool 2 of 5. An expansion simulator both teams trust

Jamming Session 1 (optional) - Office Hours with Hem, Naveen and Aditya (Wed 28th Oct, 8:00 to 9:30 PM IST)

Questions on the SQL assistant and the simulator · Debugging together · Recorded

Output: Both tool builds unblocked before Phase 2 continues

Session 5 - Analytics Pipelines on Fabric: The Payments Feed Finance Could Not Reconcile (Sat 31st Oct)

Fabric workspace, Lakehouse and SQL endpoint · VS Code with Claude Code · The daily orders pipeline: ingest, clean, load, schedule, refresh Power BI · Connecting a payment gateway sandbox API · Reconciling orders to payments · Power BI Copilot writes the DAX, you verify it · Fixing a failed run · Scenario: the 1.8 crore payments gap

Output: Tool 3 of 5. A scheduled payments pipeline finance can reconcile

Session 6 - Building the Data Genie App with Claude Code (Sun 1st Nov)

Self-serve downloads for marketing and sales · Writing the spec: tables, filters, metrics, guardrails, row limits · Spec to working app with Claude Code · Read-only warehouse connection · Every query and download logged · A natural-language question box with a golden set · Scenario: forty download requests a week

Output: Tool 4 of 5. A guarded self-serve data app with an eval score

No Live Sessions - Diwali Weekend (Sat 7th and Sun 8th Nov)

Optional, at your own pace · Three simulated breakages land by email, across your pipeline, your app and a dashboard · Find it, fix it, write the incident note: what happened, what you checked, what changed

Output: You handle a production break the way an analytics manager does

Jamming Session 2 (optional) - On-Call Debrief with Hem, Naveen and Aditya (Wed 11th Nov, 8:00 to 9:30 PM IST)

What broke and how you found it · Pipeline and Data Genie questions · A walkthrough of the churn data · Recorded

Output: Ready for the ML session with the churn data understood

Session 7 - Machine Learning for Analysts: Predicting Churn by City with Regression (Sat 14th Nov)

When a rule beats a model · Framing churn per zone per week, with two baselines · Regression with scikit-learn: AI writes, you read · Reading coefficients out loud · Residuals by city · Spotting leakage and extrapolation in someone else's model · Reading an A/B test honestly · Scenario: the model that knows the future

Output: Tool 5 of 5. A churn forecast that beats its baselines, with a review memo

Session 8 - Data Storytelling: Presenting to Stakeholders, and the Capstone Brief (Sun 15th Nov)

Answer first: the pyramid principle and SCQA · One chart, one message · The one-slide recommendation · What a CFO reads first vs a CMO · Executive Q&A and handling disagreement · AI-drafted summaries: keep, check, never send · The quarterly review pre-read, presented in pods · Capstone brief opened

Output: An executive deck and a five-minute readout leadership believes

Session 9 - Running an Analytics Team: Cadence, Delegation, Estimation, Hiring (Sat 21st Nov)

Where a manager's week goes · The intake queue and task planning · Estimating a real backlog against a fixed quarter · The weekly cadence: standup, review, retro · Delegation and managing up · Reviewing SQL, dashboards and analysis · Hiring with scorecards · The first 90 days as a manager · Scenario: the over-committed quarter

Output: A quarter plan, a hiring scorecard and your 90-day manager plan

Session 10 - Building Analytics Agents, and the Command Center They Live In (Sun 22nd Nov)

What makes an agent: goal, tools, loop, verification · When an agent beats a flow · A weekly insight report agent · A data-quality watchdog agent · A competitor price watch agent · The Command Center dashboard, built with Claude Code · Evals, guardrails, cost caps and audit logs · Scenario: the agent that lied on Tuesday · The unguided capstone starts here

Output: Scheduled, guarded analytics agents inside a dashboard you built

Jamming Session 3 (optional) - Capstone Jamming with Hem, Naveen and Aditya (Wed 25th Nov, 8:00 to 9:30 PM IST)

Implementation questions on your capstone · Design review · Debugging together · Recorded

Output: Your capstone unblocked before the review weekend

Session 11 - Capstone Review: Harden It, Test It, Learn to Pitch It (Sat 28th Nov)

Design review of every Command Center · Debugging the failures we see most · Evals against the golden sets · Hardening: guardrails, cost, audit log, handover README · How to pitch to leadership, rehearsed in pods · Packaging your analyst skill library · Your portfolio website, published on GitHub Pages

Output: A demo-ready capstone, 20+ packaged analyst skills and a live portfolio website

Session 12 - Demo Day: Pitch the Command Center to the Leadership Panel, and Graduate (Sun 29th Nov)

Capstone pitches to the GreenPlate leadership panel · Writing your own promotion case · The analytics manager interview loop · Portfolio, GitHub and LinkedIn as an advanced data analyst · Graduation

Output: A five-minute pitch you have defended, and a promotion case backed by six weeks of shipped work