4.2K+ students have already registered
What Makes This Different
Learn the Exact Stack Companies Use Today
Vishlesan i-Hub, IIT Patna Certification
(Minimum 65% attendance and 30% cumulative evaluation score)
Analyst-Grade Curriculum
SQL, Python, statistics, Tableau, applied ML & forecasting, built around real Indian-brand cases.
AI-Augmented Analytics
Work with ChatGPT, Claude, and Power BI / Excel Copilot the way modern analyst teams do.
Live Brand Capstone
Solve and defend a real diagnostic on Zepto, Nykaa, CRED, Razorpay, or Mamaearth before an expert panel.
Placement Opportunities
Placement assistance, resume reviews, and coaching.
(Eligibility: 7+ CGPA and 65% attendance)
Learn from Industry Mentors
Analysts and data scientists from Amazon, Adobe & Google.
What will you learn?
The most comprehensive PGP in AI-Powered Business Analytics program we offer. Every module is a full deep-dive - you will not just learn these topics, you will master them, deploy them, and know how to defend every decision you make.
Meet our Instructor Team
Sharon Suresh
Engineering Analyst, Google
Megna Roy
Data Scientist, Google
Rituraj Singh Gour
Data Science, Adobe Ex-BIE, Amazon
Sankalp Sidhanth Misra
Business Analyst & Program Manager
Abhinava Tripathi
Professor of Finance
Kumari Pritee
Assistant Professor
Sharon Suresh
Engineering Analyst, Google
Megna Roy
Data Scientist, Google
Rituraj Singh Gour
Data Science, Adobe Ex-BIE, Amazon
Sankalp Sidhanth Misra
Business Analyst & Program Manager
Abhinava Tripathi
Professor of Finance
Kumari Pritee
Assistant Professor
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Course Details
Foundation
Levels the floor for mixed-background cohorts and builds the foundation for analytics work. Ready for data and analytics intern, MIS executive, BI associate, and junior analytics support roles. First portfolio artifacts shipped on real Indian-brand cases by end of Month 3.
Module wise curriculum
module 1
Business & Data Literacy Primer
Business vocabulary, P&L logic, KPI thinking, and sector literacy across Indian D2C, SaaS, fintech, and BFSI - plus spreadsheet foundations to handle data from day one.
module 2
Computational Logic & AI Co-pilots
Build the computational thinking floor every analyst needs - variables, loops, conditionals, problem decomposition - and onboard ChatGPT and Claude as learning partners from day one.
module 3
Business Foundations & Analyst Mindset
P&L and KPI logic, sector literacy across D2C, SaaS, fintech, quick-commerce, and BFSI, hypothesis trees, stakeholder mapping. AI tools introduced with the prompt-then-verify discipline.
module 4
Python Foundations
Python in Google Colab from scratch - data types, structures (lists, tuples, dicts, sets), control flow, functions, file I/O, basic exception handling. The analyst-grade programming floor.
module 5
Spreadsheets for Analysts
Excel and Google Sheets together - formulas, lookups (XLOOKUP, INDEXMATCH), dynamic arrays, pivot tables, Power Query for imports and transforms. Cross-tool fluency that survives any workplace stack.
module 6
Data & AI Literacy
Data thinking - types, schemas, ETL intuition - plus visualization principles and AI co-pilot fluency for analyst tasks. The conceptual bridge between business questions and the technical toolkit.
module 7
Your First Portfolio Artifacts
Tie everything together. Weekly small artifacts graded for clarity, plus integrated mini-projects across the Foundation toolkit. Output: business diagnostic memo, Python data-processing script, and stakeholder-ready spreadsheet dashboard.
tools acquired
Roles unlocked
Core Expertise
Ready for Business Analyst, Data Analyst, Junior BI Analyst, Marketing Analyst (Junior), and Product Analyst (Junior) roles at GCCs, IT services, D2C brands, and Indian product startups. The core skills behind 73-81% of analyst job listings on the Indian market.
Module wise curriculum
module 1
SQL Mastery
Four weeks from SELECT to window functions. Query fundamentals, aggregates and all join types, subqueries and CTEs and window functions, schema design, and performance literacy.
module 2
Python Libraries for Exploratory Data Analysis
Pandas, NumPy, matplotlib, and seaborn for analyst-grade EDA. DataFrames and indexing, groupby and merge, pivot and melt, date and time handling, data cleaning discipline, and visualization essentials.
module 3
Statistics & A/B Testing
Descriptive stats in practice, probability distributions, sampling and CLT intuition, hypothesis testing, confidence intervals, A/B testing framework, plus regression and logistic regression interpretation.
module 4
Dashboarding with Tableau
Tableau Public end-to-end - data connections, calculated fields, LOD expressions, parameters, visualization principles, and dashboard UX - with brief Power BI exposure for workplace coverage.
module 5
Marketing & Product Analytics
Marketing analytics covering customer segmentation (RFM), CAC and LTV unit economics, marketing funnel analysis, campaign analytics. Then product analytics covering HEART and AARRR frameworks, North Star Metric thinking, product funnels, retention curves.
module 6
Cross-Module Integration
End of Month 7. Tie SQL, Python EDA, statistics, dashboarding, and marketing-product analytics into one fresh deliverable on a single Indian-brand case. Output: cross-module analyst case with SQL query stack, Python EDA notebook, Tableau dashboard, and insight memo.
tools acquired
Roles unlocked
Industry Specialization
Stronger candidacy for Senior Data Analyst, Product Analyst (Standard), Marketing Analyst (Standard), and Analytics Consultant (Junior) roles, with stretch candidacy for Junior Data Scientist roles backed by a portfolio-grade capstone defended live.
Module wise curriculum
module 1
Applied Machine Learning for Analysts
Applied ML with scikit-learn and statsmodels - regression family, classification, ensemble methods and gradient boosting, clustering and dimensionality reduction, feature engineering, cross-validation discipline, and basic deployment intuition with Streamlit.
module 2
Forecasting & Time Series Analytics
Time series for analysts. Components and decomposition, moving averages, exponential smoothing, ARIMA basics, Prophet, accuracy metrics, and business forecasting context for retail, BFSI, and supply chain.
module 3
AI-Augmented Analyst Workflows
Prompt engineering for analyst tasks, Power BI Copilot and Excel Copilot in workflows, Tableau's AI features, 'chat with your data' basics, AI hallucination patterns, and the verification discipline.
module 4
End-to-End Analyst Case on a Named Indian Brand
Pick one named-brand brief from the curated capstone shortlist, or propose a brand of your choice. Go from SQL diagnosis through Python EDA, statistical analysis, dashboard, and applied ML model to an insight memo and stakeholder-ready review deck. Defended live to a panel of analytics leaders and IIT faculty. Options: ZEPTO Operations diagnostic, MAMAEARTH Growth audit, RAZORPAY Merchant analytics, CRED Retention analysis, NYKAA Funnel diagnostic, or YOUR CHOICE.
tools acquired
Roles unlocked
Levels the floor for mixed-background cohorts and builds the foundation for analytics work. Ready for data and analytics intern, MIS executive, BI associate, and junior analytics support roles. First portfolio artifacts shipped on real Indian-brand cases by end of Month 3.
Module wise curriculum
module 1
Business & Data Literacy Primer
Business vocabulary, P&L logic, KPI thinking, and sector literacy across Indian D2C, SaaS, fintech, and BFSI - plus spreadsheet foundations to handle data from day one.
module 2
Computational Logic & AI Co-pilots
Build the computational thinking floor every analyst needs - variables, loops, conditionals, problem decomposition - and onboard ChatGPT and Claude as learning partners from day one.
module 3
Business Foundations & Analyst Mindset
P&L and KPI logic, sector literacy across D2C, SaaS, fintech, quick-commerce, and BFSI, hypothesis trees, stakeholder mapping. AI tools introduced with the prompt-then-verify discipline.
module 4
Python Foundations
Python in Google Colab from scratch - data types, structures (lists, tuples, dicts, sets), control flow, functions, file I/O, basic exception handling. The analyst-grade programming floor.
module 5
Spreadsheets for Analysts
Excel and Google Sheets together - formulas, lookups (XLOOKUP, INDEXMATCH), dynamic arrays, pivot tables, Power Query for imports and transforms. Cross-tool fluency that survives any workplace stack.
module 6
Data & AI Literacy
Data thinking - types, schemas, ETL intuition - plus visualization principles and AI co-pilot fluency for analyst tasks. The conceptual bridge between business questions and the technical toolkit.
module 7
Your First Portfolio Artifacts
Tie everything together. Weekly small artifacts graded for clarity, plus integrated mini-projects across the Foundation toolkit. Output: business diagnostic memo, Python data-processing script, and stakeholder-ready spreadsheet dashboard.
tools acquired
Roles unlocked
Ready for Business Analyst, Data Analyst, Junior BI Analyst, Marketing Analyst (Junior), and Product Analyst (Junior) roles at GCCs, IT services, D2C brands, and Indian product startups. The core skills behind 73-81% of analyst job listings on the Indian market.
Module wise curriculum
module 1
SQL Mastery
Four weeks from SELECT to window functions. Query fundamentals, aggregates and all join types, subqueries and CTEs and window functions, schema design, and performance literacy.
module 2
Python Libraries for Exploratory Data Analysis
Pandas, NumPy, matplotlib, and seaborn for analyst-grade EDA. DataFrames and indexing, groupby and merge, pivot and melt, date and time handling, data cleaning discipline, and visualization essentials.
module 3
Statistics & A/B Testing
Descriptive stats in practice, probability distributions, sampling and CLT intuition, hypothesis testing, confidence intervals, A/B testing framework, plus regression and logistic regression interpretation.
module 4
Dashboarding with Tableau
Tableau Public end-to-end - data connections, calculated fields, LOD expressions, parameters, visualization principles, and dashboard UX - with brief Power BI exposure for workplace coverage.
module 5
Marketing & Product Analytics
Marketing analytics covering customer segmentation (RFM), CAC and LTV unit economics, marketing funnel analysis, campaign analytics. Then product analytics covering HEART and AARRR frameworks, North Star Metric thinking, product funnels, retention curves.
module 6
Cross-Module Integration
End of Month 7. Tie SQL, Python EDA, statistics, dashboarding, and marketing-product analytics into one fresh deliverable on a single Indian-brand case. Output: cross-module analyst case with SQL query stack, Python EDA notebook, Tableau dashboard, and insight memo.
tools acquired
Roles unlocked
Stronger candidacy for Senior Data Analyst, Product Analyst (Standard), Marketing Analyst (Standard), and Analytics Consultant (Junior) roles, with stretch candidacy for Junior Data Scientist roles backed by a portfolio-grade capstone defended live.
Module wise curriculum
module 1
Applied Machine Learning for Analysts
Applied ML with scikit-learn and statsmodels - regression family, classification, ensemble methods and gradient boosting, clustering and dimensionality reduction, feature engineering, cross-validation discipline, and basic deployment intuition with Streamlit.
module 2
Forecasting & Time Series Analytics
Time series for analysts. Components and decomposition, moving averages, exponential smoothing, ARIMA basics, Prophet, accuracy metrics, and business forecasting context for retail, BFSI, and supply chain.
module 3
AI-Augmented Analyst Workflows
Prompt engineering for analyst tasks, Power BI Copilot and Excel Copilot in workflows, Tableau's AI features, 'chat with your data' basics, AI hallucination patterns, and the verification discipline.
module 4
End-to-End Analyst Case on a Named Indian Brand
Pick one named-brand brief from the curated capstone shortlist, or propose a brand of your choice. Go from SQL diagnosis through Python EDA, statistical analysis, dashboard, and applied ML model to an insight memo and stakeholder-ready review deck. Defended live to a panel of analytics leaders and IIT faculty. Options: ZEPTO Operations diagnostic, MAMAEARTH Growth audit, RAZORPAY Merchant analytics, CRED Retention analysis, NYKAA Funnel diagnostic, or YOUR CHOICE.