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Data Analyst Bootcamp

The Generative AI Data Analytics & Engineering Accelerator

Go from beginner to job-ready data analyst in 4 weeks. Learn Excel, SQL, Python, Power BI, and Microsoft Fabric — with AI tools baked into every lesson. Graduate with 4 portfolio projects and a certificate.

schedule 4 Weeksvideocam Live Sessionsfolder_open 4 Projectspayments ₹5,999 ₹2,999

4-Week Syllabus

A hands-on, project-based curriculum. Each week covers a new tool and ends with a portfolio project you build from scratch.

Week 1table_view

Excel & Statistics Foundations

Core Stack: Excel + AI-Assisted Statistical Modeling

Goal: Move from manual spreadsheets to using AI prompts for data cleaning, formula writing, and statistical analysis.
  • check_circleAI-Assisted Data Cleaning: Use ChatGPT / Copilot to auto-generate cleaning formulas, regex, and schema mappings.
  • check_circleAdvanced Formulas: INDEX MATCH, XLOOKUP, and complex lookups — written via natural-language prompts.
  • check_circleStatistics for Analysts: Variance, standard deviation, and A/B testing fundamentals.
  • check_circleBusiness KPIs: Build metrics frameworks (revenue, churn, LTV) that drive real decisions.
Portfolio Project 1

Sales Performance Dashboard

Build a financial dashboard in Excel that uses AI-generated formulas to spot revenue trends and flag anomalies across regions and products.

Week 2terminal

Python for Data Analysis

Core Stack: Python, Pandas, Plotly + AI Pair-Programming

Goal: Write Python scripts with AI assistance — no prior coding experience needed. Focus on data wrangling and interactive visualizations.
  • check_circleAI Pair-Programming: Use Copilot and ChatGPT to write, refactor, and debug Python scripts in real time.
  • check_circlePandas & NumPy: Clean, transform, and analyze datasets with AI guidance on syntax and best practices.
  • check_circleInteractive Visualizations: Create production-ready charts and data stories using Plotly.
  • check_circleCode Review Basics: Learn to audit data pipelines for correctness, speed, and security.
Portfolio Project 2

Media Trends Analysis

Analyze international content trends using Python — scrape data, cluster it, run sentiment analysis, and present findings in an interactive dashboard.

Week 3bar_chart

Business Intelligence with Power BI

Core Stack: Power BI + DAX + AI Visuals

Goal: Build interactive dashboards that executives actually use — with AI helping you write DAX formulas and generate summaries.
  • check_circleData Modeling: Structure star schemas and Power Query (M) transformations with AI acceleration.
  • check_circleDAX Formulas: Build time-intelligence measures (CALCULATE, FILTER, YoY growth) using AI-generated logic.
  • check_circleAI-Powered Visuals: Smart narratives, natural-language Q&A, and auto-generated insights inside Power BI.
  • check_circleExecutive Storytelling: Design drill-through reports that guide decision-makers to the right answers.
Portfolio Project 3

Executive Dashboard

A unified Power BI dashboard integrating revenue, customer lifetime value, and marketing ROI — with AI-generated executive summaries.

Week 4hub

Enterprise Data Architecture & Microsoft Fabric

Core Stack: Advanced SQL + Microsoft Fabric + Copilot

Goal: Bring everything together in a modern cloud data platform — connect your Excel, Python, SQL, and Power BI skills into one automated pipeline.
  • check_circleAdvanced SQL: Complex CTEs, Window Functions, and multi-table Joins — written with AI conversational assistants.
  • check_circleMicrosoft Fabric: OneLake, Data Factory, and Dataflows Gen2 — centralize all your data in one platform.
  • check_circleCopilot Integration: Automate ETL pipelines, generate code, and build semantic models using Microsoft Copilot.
  • check_circleEnd-to-End Automation: Build a complete pipeline from raw data ingestion to polished, AI-analyzed business insights.
Capstone Project

End-to-End Retail Analytics Platform

Full production deployment: Excel ingestion → Python analysis → SQL transformation → Fabric pipeline → Power BI executive dashboard.

Why This Bootcamp Delivers Outsized Value

Here’s what ₹2,999 gets you — and why graduates say it’s the best investment they’ve made in their careers.

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Work Faster with AI

Learn to use AI tools to automate repetitive data tasks — what used to take hours can be done in minutes.

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In-Demand Skills

Microsoft Fabric is the fastest-growing enterprise data platform. Employers are actively hiring people who know it.

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Think Like a Consultant

Stop memorizing syntax. Learn to direct AI tools to build the analysis — so you can focus on strategy and insights.

Your Portfolio: 4 Real-World Projects

Graduate with a portfolio you can show to employers — each project demonstrates a different part of the data stack.

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Sales Performance Dashboard

An Excel-based financial model with AI-generated formulas, anomaly detection, and regional performance tracking.

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Media Trends Analysis

A Python data pipeline with web scraping, sentiment analysis, and interactive Plotly visualizations.

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Executive Dashboard

An interactive Power BI dashboard with custom DAX models, AI-generated narratives, and drill-through reports.

hub

Fabric Data Platform

A cloud data architecture on Microsoft Fabric with OneLake, Dataflows Gen2, SQL Warehouse, and Copilot automation.

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Frequently Asked Questions

Do I need a technical background to join?expand_more
Not at all! The bootcamp is designed for absolute beginners. We start with the basics of Excel and gradually introduce SQL, Python, Power BI, and Microsoft Fabric. AI tools assist you at every step, so you don’t need prior coding or analytics experience.
How long is the bootcamp?expand_more
The bootcamp runs for 4 weeks with live, instructor-led sessions. You should plan for approximately 15-20 hours per week including live classes, hands-on projects, and self-study.
Will I get a certificate?expand_more
Yes. Upon completing all modules and the final capstone project, you will receive a certificate of completion that you can add to your LinkedIn profile and resume.
What is the refund policy?expand_more
TODO: Fill in your refund policy here — e.g., ‘Full refund within 7 days of cohort start if you’ve attended fewer than 2 sessions. No refunds after that.’ Confirm and replace this placeholder.
What software or tools do I need?expand_more
You’ll need a laptop or desktop with a stable internet connection. All tools used in the bootcamp — Excel (or Google Sheets), Python (via free cloud notebooks), Power BI Desktop (free), and Microsoft Fabric (trial account) — are either free or provided. We’ll walk you through setup in the first session.
How much time should I commit per week?expand_more
Plan for 15-20 hours per week. This includes live sessions (roughly 6-8 hours), hands-on project work, and review. The bootcamp is intensive by design — 4 weeks of focused effort replaces months of self-study.
What happens after I’m selected?expand_more
Once your application is reviewed and accepted, you’ll receive an email invitation with a payment link (₹2,999 one-time). After payment, you’ll get access to the student dashboard where you can view the schedule, join live sessions, submit projects, and track your progress.
What payment methods do you accept?expand_more
TODO: Confirm and list accepted payment methods — e.g., UPI, credit/debit cards, net banking, Razorpay, etc. Replace this placeholder with your actual payment options.