Self-Paced Course Catalogue
Industry-Specific Courses
Short, applied courses built around real Indian datasets and industry problems — from foundation skills to AI-powered platforms, across six industry tracks.
6
Industry Tracks
46
Self-Paced Courses
286+
Hours of Learning
3
Levels per Track
Industry Track
BFSI and FinTech
Credit risk, fraud detection and banking intelligence — from scorecard fundamentals to AI-powered credit platforms built on Indian lending and UPI data.
Credit Risk Fundamentals
You'll build: Logistic regression scorecard on Indian lending data
Transaction Fraud Analytics
You'll build: Rule-based and ML fraud detection on UPI transaction data
Banking Data Intelligence
You'll build: 10 SQL queries: NPA analysis, portfolio segments, loan book profiling
Credit Underwriting Automation
You'll build: Production scorecard with WoE, IV, PSI monitoring, adverse action codes
NPA Early Warning Systems
You'll build: ML model predicting 30+ DPD with early warning triggers and collection prioritisation
Customer Lifecycle Analytics
You'll build: RFM segmentation, churn prediction, customer lifetime value model
AI-Powered Credit Intelligence
You'll build: End-to-end scorecard with AI feature engineering, SHAP explainability, AI-generated credit memos
Fraud Detection Platform
You'll build: Complete system: rules engine, ML pipeline, network analysis, AI-generated alert narratives
Industry Track
AgriTech
From soil health reports to AI crop advisories — practical agricultural analytics built on Indian district datasets, satellite data and FPO operations.
Soil Health Analytics
You'll build: Interpret NPK, OC, CC, CEC reports and map to crop suitability
Agricultural Data Foundations
You'll build: Load, clean, and visualise crop yield and weather data with Python
Farm Planning Intelligence
You'll build: Input cost calculator, yield comparison dashboard, crop rotation planner in Excel
Precision Yield Intelligence
You'll build: ML model predicting yield from soil, weather, and input data on Indian district datasets
Remote Sensing for Agriculture
You'll build: NDVI analysis, rainfall correlation, drought risk scoring from open satellite data
AI-Powered Crop Advisory
You'll build: Complete advisory: soil analysis, weather integration, market signals, AI recommendation in farmer-friendly language
FPO Performance Intelligence
You'll build: End-to-end FPO analytics: member tracking, procurement analysis, market linkage, AI-generated reports
Industry Track
Supply Chain and Logistics
Demand forecasting, inventory optimisation and control towers — supply chain analytics with Indian FMCG seasonality, OR-Tools routing and AI-driven procurement.
Supply Chain Planning Foundations
You'll build: Demand template with seasonal indices, safety stock calculator, inventory dashboard
Supply Chain Data Intelligence
You'll build: 10 SQL queries: OTIF, lead time variance, inventory turns, supplier ranking
Supply Chain Performance Metrics
You'll build: Calculate and interpret: OTIF, fill rate, perfect order, inventory turns, cost per delivery
Demand Forecasting at Scale
You'll build: Holt-Winters, ARIMA, XGBoost on Indian FMCG data with Diwali seasonality
Inventory Optimisation
You'll build: ABC-XYZ classification, statistical safety stock, Monte Carlo simulation for cost vs stockout tradeoff
Route and Fleet Optimisation
You'll build: Vehicle routing with OR-Tools, last-mile delivery analysis, fleet utilisation metrics
AI-Powered Supply Chain Control Tower
You'll build: AI anomaly detection, forecast explanation, automated exception reports, control tower prototype
Procurement Intelligence Platform
You'll build: AI spend classification, supplier scorecards, TCO modelling, supplier risk monitoring from news
Industry Track
Healthcare
Public health and hospital analytics on real Indian data systems — HMIS, NFHS-5 and IDSP — from facility scorecards to AI-powered health intelligence.
India Health Data Landscape
You'll build: Navigate HMIS, NFHS-5, IDSP, Ayushman Bharat portals and extract data
Health Facility Performance Analytics
You'll build: District health scorecard, immunisation tracker, facility performance dashboard
Clinical Data Foundations
You'll build: SQL queries on patient visits, diagnoses (ICD-10), length of stay, readmission windows
Patient Risk Stratification
You'll build: Risk scoring from demographics and clinical data, 30-day readmission model, intervention triggers
Disease Surveillance Intelligence
You'll build: Outbreak detection (CUSUM, aberration methods) on IDSP data, epidemic curves, geographic spread
Hospital Operations Intelligence
You'll build: Bed occupancy, OPD analytics, OR utilisation, claims analysis, fraud indicators
AI-Powered Public Health Intelligence
You'll build: RAG on clinical guidelines, AI-generated outbreak reports, district health profiles with AI narrative
Health Equity Analytics
You'll build: NFHS district analysis by gender, caste, geography; MCH tracking; AI-assisted programme evaluation
Industry Track
Pharma
Commercial, clinical and safety analytics for pharma — from ATC/MedDRA coding and trial analysis to AI-powered pharmacovigilance and regulatory intelligence.
Pharma Data Essentials
You'll build: ATC, ICD, MedDRA coding systems; navigate CDSCO and FAERS databases
Commercial Pharma Analytics
You'll build: Brand performance tracker, market share pivots, new-to-brand Rx analysis
Pharma Data Intelligence
You'll build: SQL queries on prescriptions, secondary sales, adverse events, market share
Clinical Trial Analytics
You'll build: Efficacy analysis (ITT, per-protocol), survival curves, subgroup forest plots on simulated Phase III data
Drug Safety Signal Detection
You'll build: PRR, ROR, BCPNN on FAERS data, safety literature mining, disproportionality analysis
Sales Force Effectiveness Intelligence
You'll build: MR productivity, territory optimisation, doctor segmentation, detailing effectiveness
AI-Powered Pharmacovigilance
You'll build: AI auto-coding of adverse events, safety literature NLP, AI-generated PSUR narrative sections
AI for Regulatory Intelligence
You'll build: RAG on ICH and CDSCO guidelines, AI-assisted CSR narratives, regulatory query chatbot prototype
How It's Organised
Three Levels in Every Track
2–4 hours per course
Short, focused courses that build core domain and data skills — the fastest way to get started in a track.
6–8 hours per course
Deeper, hands-on courses where you build production-style models, dashboards and analyses on real datasets.
10–12 hours per course
End-to-end builds that combine analytics with AI — RAG, ML pipelines and AI-generated reporting — into complete platforms.
Not Sure Which Track Fits You?
Tell us about your background and goals, and our team will recommend the right courses to start with.
Industry Track
Social Impact
Monitoring & evaluation, survey analytics and impact evaluation for development programmes — built on NFHS, Census, UDISE and other Indian public datasets.
India Development Data Landscape
You'll build: Navigate NFHS, Census, UDISE, data.gov.in and extract relevant datasets
M&E Data Foundations
You'll build: Log frame tracker, indicator dashboard, beneficiary analysis in Excel
Survey Data Analytics
You'll build: Clean and analyse household survey data, handle sampling weights, produce frequency tables
Programme Impact Evaluation
You'll build: Diff-in-diff, propensity score matching, regression discontinuity on Indian programme data
Geospatial Analytics for Social Programmes
You'll build: Choropleth maps, facility accessibility, hotspot analysis using geopandas and district shapefiles
Education Sector Intelligence
You'll build: UDISE school-level analysis, dropout prediction, learning outcome tracking, district education profiles
AI-Powered Policy Intelligence
You'll build: AI-assisted qualitative analysis, automated indicator reports, policy brief generation from NFHS data