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

Starts 17th Oct 1190+ learners across 7 Codebasics live cohorts

Become an AI-era data analyst in 42 days

Cohort 1 · Starts Saturday, 17th Oct, 2026. Built for data analysts with 2+ years of experience. Over six live weekends, you run analytics as the Data Analytics Manager of GreenPlate FoodTech, a food delivery company with a margin problem and a 20-million-row warehouse. You build five working tools with AI on Claude, Claude Code, Microsoft Fabric and Power BI with Copilot, check every number, then learn the work nobody teaches analysts: planning a project, presenting to leadership and running a team. Classes run live every Saturday and Sunday, 5 to 8 PM IST, with three midweek jamming sessions and recordings available for revision.

12

Live Sessions

5

AI Tools You Build

1

Unguided Capstone

1 Year

Access to Class Recordings

40+

Live Hours

0+

Enrolled Learners

LIVE Advanced Data Analyst Bootcamp (with AI & Leadership): Ship Agents, Manage People & Deliver Strategy
US$420 US$575 after 13th Oct · Save US$155

Created by :

Hemanand Vadivel & Naveen S Aditya Goel
Join our Bootcamp

Join our Bootcamp

In-demand Skills

Learn In-demand Skills

Get Hired

Get Hired by Top Companies

Enroll Now

Codebasics Promise

We stand by the quality of our content. Not satisfied? No questions asked refund until 19th October 2026 for non-EMI enrollments.

12

Live Sessions

5

AI Tools You Build

1

Unguided Capstone

1 Year

Access to Class Recordings

40+

Live Hours

0+

Enrolled Learners

What Makes This Bootcamp Different?

  • 100% LIVE, instructor-led sessions across six weekends with Hemanand, Naveen and Aditya. Real-time Q&A, live builds, and three midweek jamming sessions to clear doubts.

  • You are not a student here. You are the Data Analytics Manager at GreenPlate FoodTech, with a CEO who emails you, a margin problem nobody has explained, and one real failure planted in the data every session.

  • Built on data the size of a real company: 20 million order lines, 1.2 million customers, 180 kitchens and 12 cities.

  • Five working tools built with AI, each with its own check: a SQL assistant, an expansion simulator, a payments pipeline on Fabric, the Data Genie app and a churn forecast.

  • The 2026 analyst stack: Claude, Claude Code, Claude Cowork, Microsoft Fabric, Power BI with Copilot, SQL, Python with scikit-learn, GitHub and VS Code.

  • Checking AI is part of every build. Golden question sets, known totals and eval scores, so you catch the confident wrong answer before leadership does.

  • The work nobody teaches analysts: project charters, the AIMS grid meeting, estimation, stakeholder storytelling, running a team and hiring.

  • An optional on-call week over Diwali. Three simulated breakages land by email. Find it, fix it, write it up, the way a real analytics team does.

  • An unguided capstone, the GreenPlate Command Centre with analytics agents inside, pitched in five minutes to a leadership panel that pushes back.

Hear It From

Our Happy Learners

Our content is rated 4.9/5 from 18437+ Learners

testimonial-video-329
Faizal Ahmed
View profile on LinkedIn Faizal Ahmed

Sr Manager, Business Analytics

Python Python

testimonial-video-557
Abhishek Rajeev
Abhishek Rajeev

Python Python

View All

This course provides a comprehensive introduction to the Python programming language. The course is well structured, starting with the basics and gradually building up to more advanced concepts. The lessons are taught through clear and concise video tutorials, accompanied by interactive coding exercises that reinforce the concepts covered. The course covers topics such as data types, functions, object-oriented programming, and more. The instructor is knowledgeable and passionate about Python, and the course is well-paced, making it easy to follow along and absorb the material. Overall, the Code Basics Python course is an excellent resource for anyone looking to learn Python, from beginners to those with some programming experience.

Ujas
View profile on LinkedIn Ujas

Python Python

Landed a Job

Hello CodeBasics team and fellow students!

I’ve just completed the Python course from the GEN-AI bootcamp, and I really want to thank Mr. Patel for conducting such engaging lectures and practical sessions. I had the chance to apply what I learned on two real-life projects (I’m saying two because some projects were excluded in GEN-AI, but these two were highly relevant).

The exercises after each unit were a great way to reinforce learning. My advice: take this course and practice consistently. Once you finish the course, keep practicing to truly master the concepts.

Thank you, CodeBasics! I’m proud to be part of this family and to have completed the first step in my GEN-AI/Data Science journey.

Javidan Akbarov
View profile on LinkedIn Javidan Akbarov

Computer Science Student spec in AI/ML/DS

Python Python

Landed a Job

I’m currently learning Generative AI and Data Science from Codebasics, starting with Python. The course is exceptionally well-structured and highly engaging. The concepts are explained clearly, allowing me to learn step by step with confidence. The quizzes throughout the course make the learning process interactive and enjoyable. Overall, it has been a truly valuable and rewarding learning experience so far.

Anil Shingare
View profile on LinkedIn Anil Shingare

Python Python

This was an engaging and well-structured experience that strengthened my Python fundamentals 🐍📊. The questions balanced core concepts with real-world application, making learning clear and practical. Overall, a valuable and professionally designed experience—highly recommended for building strong foundations 🚀✨

Nandini Adhar Wadile
View profile on LinkedIn Nandini Adhar Wadile

Python Python

I just completed Python: Beginner to Advanced for Data Professionals and can confidently say it is one of the most well-structured and practical programming courses I have taken.
What sets this course apart is how deliberately it builds your skills. The beginner sections don't just teach syntax — they explain why things work the way they do. Concepts like mutable vs. immutable data types, list comprehensions, and exception handling are introduced with real context, not just toy examples. By the time you reach the advanced modules, you already think in Python.

sirsaiyad Alam
sirsaiyad Alam

Python Python

View All

Overview

What you'll learn in
this Live Advanced Data Analyst Bootcamp

Week-1: Day One at GreenPlate FoodTech

AI Landscape & SQL

  • Session 1 - Day One at GreenPlate FoodTech: Kickoff and the AI Landscape (Sat 17th Oct)

    The Day One email from the CEO · Company briefing: 12 cities, the Fresh pilot, five function heads, the warehouse · The analytics manager JD vs the 2026 JD · The AI landscape for analysts: assistants, Copilots, coding agents, automation, MCP · How LLMs work, just enough · What never goes into a prompt · Workspace setup · Scenario: the confident wrong answer

    Output: A working AI workspace and your first-week plan as the Data Analytics Manager

  • Session 2 - Build Day: Your SQL Assistant Answers Leadership's Ten Questions (Sun 18th Oct)

    Why a bare LLM writes wrong SQL on a real warehouse · Claude Projects with instructions and knowledge files · Loading schema, metric definitions and worked queries · Answering leadership's ten standing questions · The golden question set · Where it fails and how you catch it · Scenario: the forgotten refund filter

    Output: Tool 1 of 5. A schema-aware SQL assistant, scored against a golden question set

  • 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

  • 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

  • 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: 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

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

    Design review of every Command Centre · 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 Centre 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

The DA Promise

Build, Check & Defend Real Analytics Work in 42 Days.

Not a tutorial. Five working tools and an unguided capstone, pitched to a leadership panel that pushes back.

What you get Recorded course Generic AI bootcamp This cohort
Live, mentor-led sessions
Data you work on Sample files Toy datasets 20M order lines
The 2026 AI analyst stack On your own Often generic
Certificate of completion
Investment Your time Usually far higher US$420

May we help you?

Frequently Asked
Questions

Q.1 When does the bootcamp officially start?

The bootcamp officially commences on Saturday, 17th October 2026.

You are securing your seat now. Pre-work refreshers open before the cohort starts, and full bootcamp access opens on 17th October 2026.

The Inner Circle is early enrollment, open until 13th October 2026, at ₹24,000. After that the price is ₹33,000. Enrollment closes on Saturday, 24th October 2026.

Five working tools on one company's warehouse: a SQL assistant, an expansion simulator, a payments pipeline on Microsoft Fabric, the Data Genie app and a churn forecast. Then an unguided capstone, the GreenPlate Command Center with analytics agents inside, which you pitch to a leadership panel on demo day. You also leave with 20+ reusable analyst skills and a portfolio website.

Saturdays and Sundays, 5 to 8 PM IST, twelve sessions in total. There are three optional jamming sessions with Hem, Naveen and Aditya on Wednesdays 28th October, 11th November and 25th November, 8:00 to 9:30 PM IST. There are no live sessions on the Diwali weekend, 7th and 8th November.

All live sessions are recorded, so you can catch up at your own pace. The jamming sessions exist so you can clear doubts on anything you missed before the next phase starts.

No. You keep access to all session recordings for 1 year from the bootcamp start date, and everything you build stays on your own GitHub.

No. This cohort is for working data analysts. It assumes you already know SQL, Excel, Power BI (or a similar BI tool) and basic Python.

If you need to brush up, the cohort includes pre-work refreshers and the Data Analytics fundamentals courses to help you prepare.

Q.1 Do I need a prior experience?

Yes. This bootcamp is built for working data analysts with 2 or more years on the job. You should be comfortable with SQL (joins, group by and window functions) and have built reports people use. You do not need Python or machine learning; session 7 builds the regression from first principles.

We strongly advise against it. This bootcamp assumes you already know what a stakeholder is and have analyst-level SQL. If you are looking for your first data analyst job, the Codebasics Data Analytics Bootcamp 6.0 is the right first step.

Working data analysts, BI developers, business analysts and reporting or MIS professionals with 2 to 7 years of experience, who write SQL every week and are being asked about AI, ML and leading work in every appraisal.

Q.1 How do I get help if I am stuck?

Doubts are cleared live inside every session, and there are three midweek jamming sessions with Hem, Naveen and Aditya built for exactly this: getting you unblocked before the next phase.

This bootcamp is built for your next role rather than your first job. In session 12 you work through the analytics manager interview loop and write your own promotion case, and you leave with a portfolio website, a public GitHub, a recorded pitch and an updated LinkedIn profile.

Q.1 What is Inner Circle price and when does it close?

Inner Circle enrollment is open until 13th October 2026 at ₹24,000. After 13th October 2026 the price is ₹33,000, until enrollment closes on Saturday, 24th October 2026. EMI is available.

You will receive a subsidy on the bootcamp fee, adjusted automatically when you enroll. If you have any questions, feel free to email us at [email protected].

Q.1 I used a subsidy and now want to refund this Bootcamp itself. What happens?

You get back the amount you actually paid for this Bootcamp. Your original purchase stays intact and you keep access to it.

No. Once your existing purchase is applied as a subsidy to reduce your price, that original purchase becomes non-refundable.

Full refund, no questions asked, if you request it on or before 19th October 2026. That is after the first two live sessions (17th and 18th October), so you can see exactly how the bootcamp runs before deciding.

Q.1 When does the bootcamp officially start?

The bootcamp officially commences on Saturday, 17th October 2026.

You are securing your seat now. Pre-work refreshers open before the cohort starts, and full bootcamp access opens on 17th October 2026.

The Inner Circle is early enrollment, open until 13th October 2026, at ₹24,000. After that the price is ₹33,000. Enrollment closes on Saturday, 24th October 2026.

Five working tools on one company's warehouse: a SQL assistant, an expansion simulator, a payments pipeline on Microsoft Fabric, the Data Genie app and a churn forecast. Then an unguided capstone, the GreenPlate Command Center with analytics agents inside, which you pitch to a leadership panel on demo day. You also leave with 20+ reusable analyst skills and a portfolio website.

Saturdays and Sundays, 5 to 8 PM IST, twelve sessions in total. There are three optional jamming sessions with Hem, Naveen and Aditya on Wednesdays 28th October, 11th November and 25th November, 8:00 to 9:30 PM IST. There are no live sessions on the Diwali weekend, 7th and 8th November.

All live sessions are recorded, so you can catch up at your own pace. The jamming sessions exist so you can clear doubts on anything you missed before the next phase starts.

No. You keep access to all session recordings for 1 year from the bootcamp start date, and everything you build stays on your own GitHub.

No. This cohort is for working data analysts. It assumes you already know SQL, Excel, Power BI (or a similar BI tool) and basic Python.

If you need to brush up, the cohort includes pre-work refreshers and the Data Analytics fundamentals courses to help you prepare.

Q.1 Do I need a prior experience?

Yes. This bootcamp is built for working data analysts with 2 or more years on the job. You should be comfortable with SQL (joins, group by and window functions) and have built reports people use. You do not need Python or machine learning; session 7 builds the regression from first principles.

We strongly advise against it. This bootcamp assumes you already know what a stakeholder is and have analyst-level SQL. If you are looking for your first data analyst job, the Codebasics Data Analytics Bootcamp 6.0 is the right first step.

Working data analysts, BI developers, business analysts and reporting or MIS professionals with 2 to 7 years of experience, who write SQL every week and are being asked about AI, ML and leading work in every appraisal.

Q.1 How do I get help if I am stuck?

Doubts are cleared live inside every session, and there are three midweek jamming sessions with Hem, Naveen and Aditya built for exactly this: getting you unblocked before the next phase.

This bootcamp is built for your next role rather than your first job. In session 12 you work through the analytics manager interview loop and write your own promotion case, and you leave with a portfolio website, a public GitHub, a recorded pitch and an updated LinkedIn profile.

Q.1 What is Inner Circle price and when does it close?

Inner Circle enrollment is open until 13th October 2026 at ₹24,000. After 13th October 2026 the price is ₹33,000, until enrollment closes on Saturday, 24th October 2026. EMI is available.

You will receive a subsidy on the bootcamp fee, adjusted automatically when you enroll. If you have any questions, feel free to email us at [email protected].

Q.1 I used a subsidy and now want to refund this Bootcamp itself. What happens?

You get back the amount you actually paid for this Bootcamp. Your original purchase stays intact and you keep access to it.

No. Once your existing purchase is applied as a subsidy to reduce your price, that original purchase becomes non-refundable.

Full refund, no questions asked, if you request it on or before 19th October 2026. That is after the first two live sessions (17th and 18th October), so you can see exactly how the bootcamp runs before deciding.

Become an AI-era data analyst in 42 days. Enroll by 13th October and save US$155.

Enroll Now
Talk to us Chat with us