Don't just learn tools. Learn to diagnose, forecast, optimize, simulate and automate real supply-chain decisions — with SQL, statistics, Python, optimization, Power BI and AI, on one enterprise dataset that follows you through all 24 weeks.
*Early-bird tiers available — see pricing below. Cohort dates confirmed on enquiry.
SQL, statistics, forecasting, inventory, optimization, simulation, Power BI and AI — 24 live weeks, 150+ hours, one enterprise dataset, 12 projects you can show in interviews.
A practitioner doesn't wake up thinking "today I'll use Python." They think "why is inventory increasing?" — then reach for SQL, statistics, Python, optimization or AI. That's the skill this program builds.
Every project in this program — and every real decision after it — runs through the same 12-step operating system.
Every phase builds on the same realistic company dataset — by Week 24 you've turned raw data into a complete analytics system.
Not 13 disconnected exercises — 13 systems built on one enterprise dataset, each solving a real decision. This is what goes in your GitHub portfolio.
The tools are how you build the 13 projects above — not the point of the program.
Every industry below maps to a project you build — not a slide you read.
Project 12 is a real agent architecture — intent classification and SQL generation are separated from the analytics engine, so the numeric work stays deterministic and auditable, not hallucinated.
More walkthroughs on the @IntelligentSupplyChain YouTube channel →
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Founder & Principal Consultant, Mathnal Analytics LLP · Supply Chain Analytics Consultant
18+ years turning operational data into decisions — mathematical optimization (LP/MILP, network & route), Monte Carlo simulation, and statistical & ML forecasting, delivered end-to-end with Python, SQL and Power BI. Track record cutting inventory and logistics cost while lifting service levels and forecast accuracy across food & agriculture, chemical, fashion, electronics-retail and manufacturing clients — now teaching the same methodology in CSCAP™.
Advanced Diploma in Supply Chain Management — IIT Delhi (2010) · B.E. Metallurgy — NIT Raipur (2001) · SAS Predictive Analytics — SAS Enterprise Miner (2012) · Six Sigma Green Belt (2010)
After the shared 22-week core, specialize for your Grand Capstone and CSCAP™ exam. All 12 projects stay in your portfolio regardless of track.
You must demonstrate competence.
CSCAP = Practitioner-level demonstrated across all nine competencies.
To earn the certificate, you must:
Exact minimum competency threshold per domain to be published ahead of the first CSCAP™ cohort exam.
Scenario: "Your manager says inventory increased 18%. Find out why."
Inventory health check + forecast accuracy audit. No signup.
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