Live cohort 1 Advanced Data Analyst Bootcamp

Stay relevant in the AI era. Add AI, people and strategy skills in 42 days

For data analysts with 1+ years. Six live weekends: as the Data Analytics Manager of GreenPlate FoodTech, you solve the marketing, finance, sales and operations problems every business has, build AI tools and agents on 20 million rows of data, and pitch your strategy to a leadership panel that pushes back.

Cohort 1 starts Saturday, 21st November. 12 live sessions, Saturdays and Sundays, 5:00 to 8:00 PM IST, plus three optional midweek jamming sessions.

Inner circle price
US$420
Closes Wednesday, 18th November. After that the price is US$575.

Own a Codebasics DA Bootcamp? You pay less · Enrollment closes Saturday, 28th November.

42 days
Six live weekends, Saturdays and Sundays
21st November to 3rd January, including a bonus week on 2nd and 3rd January
12 live sessions
Three hours each, 5:00 to 8:00 PM IST
Plus 3 optional jamming sessions, all recorded
5 AI tools + 3 AI agents
That you build on a 20-million-row warehouse
1 strategy pitch
To a leadership panel that pushes back
Demo Day, 27th December
1.5M+
YouTube Subscribers
750K+
Learners
86K+
Paid learners
7000+
5 Star Reviews
The career ladder

The five levels of the AI-era data analyst.

Most analysts stop at level 1. Promotions happen at levels 4 and 5. In six weeks you practise all five.

L1

Do your work faster with AI

Week 1 SQL assistant

L2

Automate work for your team

Week 3 Payments pipeline on Fabric

L3

Build apps your team uses

Weeks 2 and 3 Expansion Simulator, Data Genie app

L4

Handle people and expectations

Weeks 2, 4 and 5 Charter, stakeholders, running a team

L5

Deliver strategy, not just insights

Weeks 5 and 6 AI agents, leadership pitch

Where most analysts are todayWhere promotions happen
The 6 weeks

Two versions of you exist six weeks from now.

Scroll. The line is what changes when you spend six weekends building AI tools and doing manager-level work instead of reading about it.

What you can doWk 1
1 Week 1

Get started with AI.

Day One at GreenPlate: the AI landscape for analysts, then a schema-aware SQL assistant that answers leadership's ten standing questions, checked against a golden set.

Ends with: Tool 1 of 5, a SQL assistant scored against a golden question set
2 Week 2

Plan the project like a manager.

Write the charter, run the AIMS grid meeting, estimate the work, then build the Expansion Simulator with Claude Code that ends the Marketing vs Finance fight.

Ends with: Tool 2 of 5, plus a charter and estimate leadership signs off
3 Week 3

Build pipelines and apps.

A scheduled payments pipeline on Microsoft Fabric that finance can reconcile, and the Data Genie, a guarded self-serve data app with an eval score.

Ends with: Tools 3 and 4 of 5
4 Week 4

Forecast and present.

Predict churn by city with regression and beat two baselines, then turn it into the one-slide recommendation and executive readout leadership believes.

Ends with: Tool 5 of 5, a churn forecast with a review memo
5 Week 5

Lead the team, build agents.

Plan a quarter, delegate and hire with a scorecard. Then build analytics agents that watch the data and flag problems, inside a Command Center you built.

Ends with: A quarter plan, a hiring scorecard and 3 guarded AI agents
6 Week 6

Pitch on Demo Day.

Harden your capstone, package 20+ analyst skills, publish your portfolio website, then pitch to the GreenPlate leadership panel and write your promotion case.

Ends with: A defended five-minute pitch and a written promotion case
Our promise

In 6 weeks, this is who you become.

AI skills

Today you write SQL one question at a time. By week 6: you build a SQL assistant that answers leadership’s standing questions, checked against a golden set.

AI skills

Today you ask AI and hope it’s right. By week 6: you catch its confident wrong answers before leadership does.

AI skills

Today you run reports by hand. By week 6: your AI agents watch the data and flag problems for you.

People skills

Today someone else scopes the project. By week 6: you write the charter, estimate the work and run the planning meeting.

People skills

Today you take requests. By week 6: you plan a quarter, delegate and hire with a scorecard.

Strategy

Today you present numbers. By week 6: you pitch a strategy to a leadership panel that pushes back.

Strategy

Today your work waits to be noticed. By week 6: you leave with a written promotion case, backed by six weeks of shipped work.

How it works

Practise the manager's job before you get it.

Marketing wants more budget. Finance wants proof. Sales wants data without waiting. Operations wants to know where to grow next. Every company has these questions. For six weekends, you answer them as the Data Analytics Manager of GreenPlate FoodTech, a profitable food delivery company whose margin is slipping. Its new healthy food launch, Fresh, could fix it or make it worse.

Your mission

Should Fresh go national? It is the call every company makes before a new product, city or market. Build AI agents, find the answer and deliver the strategy to the leadership team.

1Get a memo from leadership
2Build the answer with AI
3Check every number
4Present it to the people who asked
Nick Puri Nick Puri CEO
Victor von Vashist Victor von Vashist CTO, your manager
Stephen Kumar Stephen Kumar COO
Natasha Reddy Natasha Reddy CMO
Morgan Sharma Morgan Sharma CFO
Loki Lal Loki Lal Data Engineer

Same problems, any industry.

Every problem you solve at GreenPlate is one your company already has.

At GreenPlate At your company
Marketing and finance disagree on an expansion budget Any launch or budget plan: a new city, product or branch
Gateway payments don't match orders Revenue reconciliation in e-commerce, fintech, SaaS billing or retail
Forty data download requests a week The request queue on every BI team
Customers churn city by city Churn in telecom, banking, SaaS and subscriptions
The CFO and CMO read the same deck differently Every leadership review
Agents watch data quality and competitor prices Monitoring on any data team
The stack

The tools senior analysts actually use in 2026.

Claude Claude PRD drafting and Projects
Claude Code Claude Code Building the five tools
Claude Cowork Claude Cowork Multi-file cleaning
Microsoft Fabric Microsoft Fabric Lakehouse and pipelines
Power BI · Reporting Power BI · Reporting Reports and verified DAX
SQL SQL The warehouse
Python + Scikit-Learn Python + Scikit-Learn The churn regression
GitHub + VS Code GitHub + VS Code Where the work lives
Your career

What you take into your next appraisal or interview.

Proof 1

A written promotion case

The work you shipped and the decisions you influenced, on one page.

Proof 2

A portfolio website

Every project you built, published on GitHub Pages.

Proof 3

5 AI tools and 3 AI agents

On your GitHub, each with the check that proves it works.

Proof 4

A recorded strategy pitch

To a leadership panel that pushed back.

Proof 5

20+ reusable analyst skills

Built to point at your own company on Monday.

Proof 6

The manager interview loop

Practised, so the next interview feels familiar.

We don't make fake job guarantees. We give you the proof.

6 weeks plus a bonus week. 12 live sessions. From your first AI tool to Demo Day.

Saturdays and Sundays, 5:00 to 8:00 PM IST, plus three optional jamming sessions on Wednesdays, 8:00 to 9:30 PM IST. Open any week to see every session and what you walk away with.

Week 1: Get started with AI

01
Session 1 - Day One at GreenPlate FoodTech: Kickoff and the AI Landscape (Sat 21st Nov)
A working AI workspace and your first-week plan as the Data Analytics Manager
02
Session 2 - Build Day: Your SQL Assistant Answers Leadership's Ten Questions (Sun 22nd Nov)
Tool 1 of 5. A schema-aware SQL assistant, scored against a golden question set

Week 2: Plan the project

03
Session 3 - Project Planning the Corporate Way: Charter, AIMS Grid, Estimation (Sat 28th Nov)
Marketing Finance Operations Supply chain
A charter, an AIMS grid and an estimate leadership signs off, plus your 90-day LinkedIn plan
04
Session 4 - Claude Code: The Expansion Simulator That Ends the Marketing vs Finance Fight (Sun 29th Nov)
Marketing Finance
Tool 2 of 5. An expansion simulator both teams trust
Jamming Session 1 (optional) - Office Hours with Hem, Naveen and Aditya (Wed 2nd Dec, 8:00 to 9:30 PM IST)
Both tool builds unblocked before Week 3 starts

Week 3: Build pipelines and apps

05
Session 5 - Analytics Pipelines on Fabric: The Payments Feed Finance Could Not Reconcile (Sat 5th Dec)
Finance
Tool 3 of 5. A scheduled payments pipeline finance can reconcile
06
Session 6 - Building the Data Genie App with Claude Code (Sun 6th Dec)
Marketing Sales
Tool 4 of 5. A guarded self-serve data app with an eval score
Jamming Session 2 (optional) - On-Call Debrief with Hem, Naveen and Aditya (Wed 9th Dec, 8:00 to 9:30 PM IST)
Ready for the ML session with the churn data understood

Week 4: Forecast and present

07
Session 7 - Machine Learning for Analysts: Predicting Churn by City with Regression (Sat 12th Dec)
Tool 5 of 5. A churn forecast that beats its baselines, with a review memo
08
Session 8 - Data Storytelling: Presenting to Stakeholders, and the Capstone Brief (Sun 13th Dec)
An executive deck and a five-minute readout leadership believes

Week 5: Lead the Team, build agents

09
Session 9 - Running an Analytics Team: Cadence, Delegation, Estimation, Hiring (Sat 19th Dec)
A quarter plan, a hiring scorecard and your 90-day manager plan
10
Session 10 - Building Analytics Agents, and the Command Center They Live In (Sun 20th Dec)
Scheduled, guarded analytics agents inside a dashboard you built
Jamming Session 3 (optional) - Capstone Jamming with Hem, Naveen and Aditya (Wed 23rd Dec, 8:00 to 9:30 PM IST)
Your capstone unblocked before the review weekend

Week 6: Pitch on demo day

11
Session 11 - Capstone Review: Harden It, Test It, Learn to Pitch It (Sat 26th Dec)
A demo-ready capstone, 20+ packaged analyst skills and a live portfolio website
12
Session 12 - Demo Day: Pitch the Command Center to the Leadership Panel, and Graduate (Sun 27th Dec)
A five-minute pitch you have defended, and a promotion case backed by six weeks of shipped work
Bonus Week · Sat 2nd and Sun 3rd January: Turn the Cohort into Your Next Role
A finished capstone, an interview-ready resume and a rehearsed career story

Already own our Data Analytics Bootcamp (3.0, 4.0, 5.0 or 6.0)? The fundamentals courses you own are deducted from this bootcamp's price automatically when you enroll. Download the brochure →

Who is in the room

Taught by the people who run analytics teams.

Hemanand Vadivel
Hemanand Vadivel
Co-Founder & CEO, Codebasics
Leads most sessions and every leadership and management block.
Naveen S
Naveen S
Head of Data Analytics, Codebasics
Co-teaches every build session.
Aditya Goel
Aditya Goel
Business Automation Specialist & Learner Experience Lead, Codebasics
Backs the build sessions. Runs the jamming sessions with Hem and Naveen.
Dhaval Patel
Dhaval Patel
Founder, Codebasics · Ex-NVIDIA
Curriculum advisor. Sets what this cohort teaches and what it refuses to.
What learners say

Verified reviews from the people already learning with us.

Every review below is published by a real Codebasics learner on our platform.

Data Analytics Bootcamp 23,654 enrolled
The recorded bootcamp this cohort builds on. Our content is rated 4.9/5 from 60941+ Learners, and learners have moved into seven different roles from it.
Data Analyst Business Analyst Data Engineer BI Developer Analytics Consultant Reporting Analyst Data Scientist
Dhruva Vishwanath
★★★★★
The Codebasics Data Analytics Bootcamp has exceeded my expectations. The lessons are well-organized, and the instructors break down complex topics into simple concepts. I particularly enjoy the real-world case studies, hands-on projects, and interview preparation resources. The assignments reinforce what I’ve learned, and the community support is excellent whenever I have doubts. I feel more confident using Excel, SQL, Power BI, and Python, and I believe the bootcamp is preparing me well for a career in data analytics.
DA Bootcamp
Nanda Kishore Narava
★★★★★
This Data Analytics course is structured in a way that makes learning both simple and engaging, with clear explanations that break down complex concepts into easy-to-follow lessons, comprehensive coverage of essential topics like data cleaning, visualization, and KPI tracking, and plenty of real-world examples that show how analytics is applied in business scenarios, making it not just informative but also highly practical for anyone looking to build a strong foundation and apply data-driven insights in their career.
DA Bootcamp
Mutaarifah Tariq
★★★★★
I recently completed a Data Analytics Bootcamp, and it was a great experience. The course is well-structured and covers all the important topics like Excel, Power BI, SQL, and Python in a simple and practical way. What I really liked is that the instructor includes projects throughout the course. These projects help in understanding concepts better and give hands-on practice, which makes learning more effective. Overall, I would recommend this bootcamp to anyone who wants to build or improve their skills in data analytics. It offers a good balance of theory and practical learning.
DA Bootcamp
Nishant Nandkeolyar
★★★★★
I recently enrolled in the Data Analyst Bootcamp by Codebasics, and I’m genuinely thrilled with the learning experience so far. The teaching style, course structure, and topic coverage are simply outstanding. Each chapter is thoughtfully designed, making it easy to understand complex concepts and learn tools in a smart and practical way. The clarity, real-world examples, and step-by-step approach truly make Codebasics stand out. This course has given me a clear direction and confidence in my data analytics journey. Thank you, Codebasics, for creating such an amazing and well-structured learning experience!
DA Bootcamp
Ayisha Tasneem
★★★★★
This bootcamp has been an amazing experience! I was able to learn a wide range of essential skills that are crucial for day-to-day work in data analytics. The curriculum is well-structured and goes beyond just technical skills, helping you understand the practical aspects of analytics in real-world scenarios. What really stood out to me was the strong community support—especially through the Discord group. The prompt responses, helpful guidance, and encouragement from peers and mentors made a big difference in my learning journey. Highly recommended for anyone looking to strengthen their analytics foundation and gain hands-on experience!
DA Bootcamp
Codebasics live cohorts 1,190+ across 7 cohorts
AI Engineering, AI Product Management and Data Engineering cohorts are running right now. This is what those learners say about the live format itself.
Rohit Doad
Sr. Consultant
★★★★★
I enrolled in the AI PM Bootcamp expecting to learn general AI PM frameworks and terminology. What I actually walked away with was something more specific - a real mindset change in how I approach implementing AI in product problems, which is a different layer than regular PM work. The capstone project was the turning point. Instead of a hypothetical case study, I worked on a real business problem, which meant I had to make actual tradeoffs, not just theoretical ones. It also taught me where AI actually belongs in a product and where it doesn't - not every problem needs an AI solution, and knowing which is which matters more than the AI itself. The rest of it felt different too, mainly because it came from founders who've actually built and shipped AI products themselves. They weren't teaching from a textbook; they were sharing what they'd learned the hard way, mistakes included. That made me take every exercise more seriously - this wasn't theory, it was real lessons from people who'd actually been in the room when things worked and when they didn't. I came out of this bootcamp thinking like an AI product manager, not just knowing what one does.
LIVE AIPM Cohort 1
Dinakara Shetty
Senior Engineer / Senior Manager
★★★★★
As a software engineer with over two decades of experience, stepping into a new domain can sometimes be challenging, but my experience with the Codebasics AI bootcamp has been phenomenal. The instructors broke down complex concepts into explanations that were incredibly easy to understand. What really set this course apart was the focus on hands-on experience—writing the capstone project completely from scratch solidified my learning in a way theory alone never could. Additionally, the Slido quizzes kept the sessions interactive and highly engaging. I also really appreciated the soft skill sessions, which provided an unexpected but highly valuable takeaway. Highly recommended!
LIVE AISE Cohort 1
Priyanka Pandey
Data Analyst/Engineer
★★★★★
I have really enjoyed all the sessions so far and have learned a lot about the logic behind the scenes. As an analyst, I realised there were still some gaps in my knowledge, and this course has helped me bridge those gaps and build a much stronger foundation to become a good data engineer. Thanks to the CodeBasics team for creating such practical and valuable content. The concepts are real, relevant, and easy to connect with, which keeps me motivated and persistent throughout the learning journey. The course can definitely feel overwhelming at times because there is so much to learn, and it often feels like I am always running behind. At the same time, that challenge motivates me to keep going and stay consistent. Learning so many concepts in just 10 weeks requires a consistent approach, focus, and dedication. But by the end of it, you can really feel the difference not only in your knowledge but also in your confidence. I’m grateful to the CodeBasics team for helping me reshape my foundation and giving me the confidence to continue my journey towards becoming a strong data engineer.
LIVE DE Cohort 1
ADA Cohort 1 Opens 3rd Jan
Reviews open after demo day on Sunday, 3rd January. This space is reserved for the first learners to finish the cohort.
The first review in this column could carry your name.

Twelve live sessions, five tools, one capstone, and a leadership panel you have to convince.

Enroll now →
Before you decide

Not a tutorial. A career move.

Five working tools, three AI agents and a strategy you pitch to a leadership panel that pushes back.

  Recorded course Generic AI bootcamp This cohort
Live, with instructors No Rarely 12 live sessions and 3 jamming sessions
Data you work on Sample files Toy datasets 20M rows of orders, payments, customers and campaigns
The 2026 AI analyst stack On your own Often generic Claude, Claude Code, Fabric, Power BI + Copilot
People and management skills No Rarely Planning, stakeholders, running a team
Strategy pitch to leadership No No Demo Day panel that pushes back
Proof for your career A certificate A certificate 5 tools, 3 agents, promotion case, portfolio
Investment Your time Usually far higher US$420 inner circle
Questions

The things analysts ask us before they join.

When does the bootcamp start and end?

It starts on Saturday, 21st November 2026. Demo Day is on Sunday, 27th December, followed by a bonus week on 2nd and 3rd January.

Will this help me get promoted?

We can't promise a promotion, and we won't. You leave with manager-level work you have actually done, a written promotion case and practice on the analytics manager interview loop.

I'm not a manager and don't plan to be soon. Is this for me?

Yes. AI skills, handling stakeholders and turning numbers into a recommendation make you more valuable as a senior analyst too.

How is this different from the Data Analytics Bootcamp?

Data Analytics Bootcamp 6.0 gets you your first analyst job. This bootcamp is the career booster for analysts already in the job who want to grow.

How much time does it take?

Six live hours each weekend, plus one weekly submission (about 3 to 4 hours, our estimate).

What if it's not for me?

Attend your first two live sessions after you enroll. Not convinced? Full refund, no questions asked, until the day after your second live session.

When do I get access after enrolling as an Inner Circle member?

You are securing your seat now. Pre-work refreshers open before the cohort starts, and full bootcamp access opens on Saturday, 21st November 2026.

What is the Inner Circle, and how is it different from regular enrollment?

The Inner Circle is early enrollment, open until 18th Nov 2026, at ₹24,000. After that the price is ₹33,000.

What will I build in this bootcamp?

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.

When are the live sessions?

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 at 8:00 to 9:30 PM IST.

What if I miss a live session?

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

What happens after the 42 days? Do I lose access?

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.

Is the Data Analytics Bootcamp 6.0 included in this cohort?

No. This cohort is for working data analysts. It assumes you already know SQL, Excel, Power BI (or a similar BI tool). If you need to brush up, the cohort includes pre-work refreshers and the Data Analytics fundamentals courses to help you prepare.

Do I need prior experience?

Yes. This bootcamp is built for working data analysts with 1 or more years on the job, or Codebasics Data Analytics Bootcamp learners who have finished the bootcamp projects. 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.

I am a fresher with no work experience. Can I join?

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.

Who is this bootcamp designed for?

Working data analysts, BI developers, business analysts and reporting or MIS professionals with 1 to 7 years of experience, in any industry, who write SQL every week and are being asked about AI, ML and leading work in every appraisal.

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 week.

Is there job assistance?

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.

What is the Inner Circle price and when does it close?

The Inner Circle price is ₹24,000 until Wed, 18th Nov 2026. From Thur, 19th Nov the price is ₹33,000. EMI is available.

I already own a Codebasics Data Analytics Bootcamp or some courses from it. What do I pay?

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].

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.

I used a subsidy (my existing Data Analytics Bootcamp or individual course purchase). Can I refund my original purchase after enrolling?

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

What is the refund policy?

You can get a full refund, no questions asked, until the end of the day after your first 2 live sessions scheduled after enrolling. For example, if your first two live sessions after enrolling fall on a Saturday and Sunday, the refund window closes at the end of the day on Monday. Please note: The refund window is based on the two live sessions scheduled after your enrollment, not on whether you attended them. If you miss a session, the refund window still moves forward. To request a refund, email [email protected] before the window closes.

Please read the full refund policy here.

I'm a learner in the Codebasics Data Analytics Bootcamp. Can I join?

Yes, Codebasics Data Analytics Bootcamp learners who have finished the bootcamp projects and are comfortable with SQL (joins, group by and window functions) can join even with less than 1 year of work experience. Your bootcamp purchase also lowers your price automatically.

I don't work in food delivery. Will this apply to my job?

Yes. Food delivery is the setting, not the subject. You work on marketing spend, revenue reconciliation, churn, self-serve data and leadership reporting, which every business has. One company keeps every session connected, and the 20+ analyst skills you build are made to point at your own company's data.

Cohort 1 · Starts Saturday, 21st November

Six weekends from now, you could be the analyst leadership calls first.

  • 12Live Sessions
  • 5AI Tools
  • 3AI Agents
  • 1Strategy Pitch
Inner circle price
US$420
Closes Wednesday, 18th November. Then US$575.
Enroll now →
100% refund, no questions asked, until the day after your second live session · Download brochure
US$420 inner circle Until Wed, 18th Nov, then US$575
Enroll now →
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