Live cohort For analysts with 2+ years

Become the AI-era data analyst: Ship agents, manage people & deliver strategy in 42 days

Six weekends, live. You will not watch a curriculum. You will run analytics for a food delivery company with a margin problem, build with AI, check every number, and defend it in front of the people who decide.

Enroll now → See the 42 days

Cohort 1 begins Saturday 17^th October. 12 live sessions, Saturdays and Sundays, 5:00 to 8:00 PM IST.

Inner circle price

US$420

Closes Tuesday 13^th October. After that the price is US$575.

Own any Codebasics Data Analytics bootcamp? You pay less. · Enrollment closes Saturday, 24^th October.

42 days

Six weekends, live

17^th October to 29^th November

12 live sessions

Three hours each, Saturdays and Sundays

Plus 3 midweek jamming nights

5 tools

Working builds, not demos

On a 20M row warehouse

1 capstone

Unguided, start to finish

Pitched to a leadership panel

1.5M+

YouTube Subscribers

738K+

Learners

85K+

Paid learners

7000+

5 Star Reviews

The 42 days

Two versions of you exist six weekends from now.

Scroll. The line is what changes when you spend six weekends doing the job instead of studying for it.

What you are trusted withDay 0

0 Day 0 · Kickoff

Project planning.

An email from the CEO of GreenPlate: twelve cities, a margin problem, no scope and no brief. You write the charter, run the planning meeting, and put an estimate on the table.

Ends with: a charter and an estimate leadership signs off

1 Week 1 · Phase 1

Build the SQL assistant.

A bare LLM writes wrong SQL on a real warehouse. Yours knows the schema, the metrics and the rules, and answers leadership's ten standing questions without inventing a join.

Ends with: tool 1 of 5, scored against a golden question set

2 Week 2 · Phase 1 to 2

Get fluent with AI tools.

Claude Projects, Claude Cowork on forty messy files, Claude Code on your first app. You learn where each one is wrong and how to catch it before anyone else does.

Ends with: tool 2 of 5, the expansion simulator both teams trust

3 Week 3 · Phase 2

Build pipelines and apps with AI.

A pipeline on Fabric with a live payments feed finance can reconcile, then the Data Genie app that ends forty download requests a week.

Ends with: tools 3 and 4 of 5, running on schedule and on GitHub

4 Week 4 · Phase 3

Manage stakeholders.

Answer first, one chart one message, and the executive who does not read charts. You present the quarterly readout and hold the room when it pushes back.

Ends with: a recorded five-minute executive readout

5 Week 5 · Phase 3

Apply ML in analytics.

Churn by city with regression, built with AI and read out loud: which levers move it, which do not, and what a model someone else built is hiding.

Ends with: tool 5 of 5, a forecast with a review memo leadership can act on

6 Week 6 · Phase 4 · Demo day

Ship agents, deliver strategy.

Analytics agents inside a Command Center you built unguided, hardened, tested, and pitched in five minutes to a leadership panel that pushes back.

Ends with: the capstone, published, and a pitch you have already survived

What you leave with

Five tools that run, and one you built without help.

Every one of them is built on the same warehouse, for the same company, against a problem somebody actually has.

Tool 1

SQL assistant

Schema-aware, answers leadership's ten standing questions without inventing a join.

Tool 2

Expansion simulator

Ends the marketing versus finance argument with a model both sides can inspect.

Tool 3

Payments pipeline

Scheduled on Fabric, monitored, and trusted by the people who close the books.

Tool 4

Data Genie app

Self-serve downloads for marketing and sales, with guardrails so nothing leaks.

Tool 5

Churn forecast

Regression by city that beats the rule of thumb, with the error honestly reported.

Capstone

GreenPlate Command Center

Analytics agents in a dashboard you build unguided, then pitch to the leadership panel.

The stack

The tools senior analysts actually use in 2026.

Claude AI assistant and Projects

Claude Code Building the five tools

Claude Cowork Multi-file cleaning

Microsoft Fabric Lakehouse and pipelines

Power BI + Copilot Reports and verified DAX

SQL The warehouse

Python + scikit-learn The churn regression

GitHub + VS Code Where the work lives

The simulation

You are not a learner here. You are the Data Analytics Manager.

GreenPlate FoodTech is losing margin and nobody has explained why. For six weekends the company is yours to fix, and the data is the size of a real one.

20M

order lines in the warehouse

1.2M

customers

180

kitchens

cities

6 weeks. 12 live sessions. One company to turn around.

Saturdays and Sundays, 5:00 to 8:00 PM IST. Open any week to see every session and what you build in it.

Day One at GreenPlate FoodTech

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

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)

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

Project Planning & the Expansion Simulator

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

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)

Tool 2 of 5. An expansion simulator both teams trust

Pipelines & Apps with AI

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

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

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

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

Machine Learning & Data Storytelling

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

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)

An executive deck and a five-minute readout leadership believes

Running a Team & Building Agents

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

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)

Scheduled, guarded analytics agents inside a dashboard you built

Capstone Review & Demo Day

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

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)

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

Who is in the room

Taught by people who run analytics teams, not people who describe them.

Hemanand Vadivel

CEO, Codebasics

Leads most sessions and every leadership and management block.

Naveen

Head of Data Analytics, Codebasics

Plays the GreenPlate COO. He is the one who will not accept a dashboard as an answer.

Aditya Goel

Head of Learner Experience, Codebasics

Pipelines, Microsoft Fabric and the engineering-side sessions.

Dhaval Patel

Founder

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. Rated 4.9 from 5,254 reviews, 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

DA Live Cohort 1 Opens 29^th Nov

Reviews open after demo day on 29^th November. 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

Three ways to learn this. Only one puts you in the room.

	Recorded course	Generic AI bootcamp	This cohort
Who you are for six weeks	A learner	A learner	The analytics manager
Data you work on	Sample files	Toy datasets	20M order lines
Someone pushing back	No	Rarely	Every weekend
Final project	Guided walkthrough	Guided walkthrough	Unguided, then pitched
Leadership and management	Not covered	Not covered	Three full sessions
Access to the instructors	None	A forum	Live, plus 3 jamming nights
Investment	Lower, and you are on your own	Usually far higher	US$420

Questions

The things people ask us.

When does the bootcamp officially start?

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

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 17th October 2026.

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

The Inner Circle is early enrollment, open until 13th October 2026, at US$420. After that the price is US$575. Enrollment closes on Saturday, 24th October 2026.

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 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.

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 on anything you missed before the next phase 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 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.

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 2 to 7 years of experience, 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 phase.

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?

Inner Circle enrollment is open until 13th October 2026 at US$420 . After 13th October 2026 the price is US$575 , until enrollment closes on Saturday, 24th October 2026. 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?

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.

Six weekends from now, one of those two lines is yours.

Cohort 1 begins Saturday 17^th October. 12 live sessions, five tools, one capstone.

US$420 inner circle, closing Tuesday 13^th October. US$575 after that.

Enroll now →

Full refund until 19^th October 2026 for non-EMI enrollments

US$420 inner circle Closes Tue 13^th Oct, then US$575

Enroll now →