Public Sector & Nonprofit
How the public sector and nonprofits work, and the finance, marketing, data and AI that run them.
The programs
Five programs, one per domain of the Public Sector & Nonprofit sector. Every one is readable straight away, without an account, and you can gauge your level on any of them whenever you want.
Public Sector & Nonprofit
Public sector and nonprofit work operates on logics distinct from commercial markets: value flows through appropriations, grants, and mandates rather than prices set by competition.
18 lessons · about 4h
- Map the end-to-end value chain of a public sector or nonprofit program, from funding source to beneficiary outcome
- Identify the key players in a given public/nonprofit sub-sector and assess where power and budget influence actually sit
- Recognize which regulations (procurement rules, tax-exempt requirements, reporting mandates) apply to a given situation and what they require in practice
Finance for Public Sector & Nonprofit
Public sector and nonprofit finance operates under a different logic than corporate finance: the goal is mission delivery and stewardship, not profit maximization.
31 lessons · about 6h
- Map the end-to-end value chain of a public sector or nonprofit program, from funding source to beneficiary outcome
- Identify the key players in a given public/nonprofit sub-sector and assess where power and budget influence actually sit
- Recognize which regulations (procurement rules, tax-exempt requirements, reporting mandates) apply to a given situation and what they require in practice
Marketing for Public Sector & Nonprofit
Marketing in public sector and nonprofit contexts operates under different constraints than commercial marketing: the 'customer' may be a beneficiary, donor, taxpayer, or citizen with no purchase transaction, and success is measured in behavior change, donations, or civic participation rather than revenue.
31 lessons · about 6h
- Map the end-to-end value chain of a public sector or nonprofit program, from funding source to beneficiary outcome
- Identify the key players in a given public/nonprofit sub-sector and assess where power and budget influence actually sit
- Recognize which regulations (procurement rules, tax-exempt requirements, reporting mandates) apply to a given situation and what they require in practice
Data for Public Sector & Nonprofit
The public sector runs on data it barely trusts, sitting in systems built before your smartphone existed.
31 lessons · about 6h
- Map the end-to-end value chain of a public sector or nonprofit program, from funding source to beneficiary outcome
- Identify the key players in a given public/nonprofit sub-sector and assess where power and budget influence actually sit
- Recognize which regulations (procurement rules, tax-exempt requirements, reporting mandates) apply to a given situation and what they require in practice
AI for Public Sector & Nonprofit
AI in public sector and nonprofit work operates under constraints that differ sharply from the private sector: constrained budgets, procurement rules, legacy IT systems, political accountability, and a mandate to serve all citizens equitably rather than optimize for profit.
31 lessons · about 6h
- Map the end-to-end value chain of a public sector or nonprofit program, from funding source to beneficiary outcome
- Identify the key players in a given public/nonprofit sub-sector and assess where power and budget influence actually sit
- Recognize which regulations (procurement rules, tax-exempt requirements, reporting mandates) apply to a given situation and what they require in practice
The public and nonprofit world optimizes for mission and accountability rather than profit, under budgets, procurement rules and public scrutiny. This vertical gives you the big picture, then finance, marketing, data and AI applied inside it.
Key terms
Why specialize in Public Sector & Nonprofit?
Cross-cutting skills are not enough in the Public Sector & Nonprofit sector. It plays by its own rules: a distinct value chain, specific players and balance of power, dense regulation, and key figures you won't find anywhere else. This vertical gives you that sector fluency: first the big picture, then finance, marketing, data and AI applied concretely to Public Sector & Nonprofit, with the calculations, benchmarks and checklists you actually need on the ground.
What you'll be able to do
- Understand how the Public Sector & Nonprofit sector works: value chain, key players and balance of power
- Know the major regulations and laws, the sector's acronyms and vocabulary
- Run the key calculations and read the benchmarks specific to Public Sector & Nonprofit (US and Europe markets)
- Apply finance, marketing, data and AI to the realities of Public Sector & Nonprofit
- Gauge your level with 5 sector assessments and a competency radar
70 lessons across 16 modules and 5 blocks, with a test per lens and a sector competency radar. Free to read, no account required.
The curriculum in detail
Public Sector & Nonprofit: how the sector works
Generalhow the public sector and nonprofits work: mission over profit, budgets and appropriations, procurement, stakeholders, and public accountability.
4 Modules · 18 Lessons
Finance in the public sector
Financepublic/nonprofit finance: budgeting and appropriations, fund accounting, cost-effectiveness and outcomes, grants, and constraints on spending.
3 Modules · 13 Lessons
Marketing in the public sector
Marketingpublic-sector and nonprofit communication: campaigns and behavior change, fundraising and donors, stakeholder trust, and transparency.
3 Modules · 13 Lessons
Data in the public sector
Datapublic-sector data: open data and service metrics, outcome measurement, privacy and equity concerns, and legacy-system reality.
3 Modules · 13 Lessons
AI in the public sector
AIAI in the public sector: service delivery and automation, fraud and eligibility, and the accountability, bias and transparency requirements.
3 Modules · 13 Lessons
Prefer to place yourself first?
Five short assessments, one per domain of the Public Sector & Nonprofit sector. Ten questions each, three minutes, and a competency radar once you have taken more than one.
All sector assessmentsLatest articles
What the blog publishes on Public Sector & Nonprofit, across every discipline.
- DataThe shared data infrastructure problem that quietly breaks every cross-agency programWhen two agencies cannot agree on what a "household" means, no amount of technology fixes the mismatch. This article explains how interoperability standards actually work in government data environments and where the traps are for CDOs who underestimate the governance layer.
- AIOne hallucinated component list almost started a US military strikeA US military unit nearly authorized a strike based on intelligence that included AI-generated fabrications about Chinese nuclear components. The incident is a precise case study in what happens when LLM outputs meet high-stakes decision chains without adequate verification.
- AIAI systems causing real harm before oversight can catch upA hallucination in a military AI system nearly triggered a US attack on Chinese nuclear infrastructure. This week's developments, taken together, show a widening gap between what AI systems can do and what the humans overseeing them can actually catch.
- AIHow the UK's DWP is learning to live with AI agents filing benefits claims on behalf of citizensAI agents are now submitting benefits claims autonomously on behalf of citizens, flooding public services with volumes no human team anticipated. The UK's Department for Work and Pensions offers the clearest window so far into what happens when you are on the receiving end of that wave.
- DataPublishing open data that citizens, journalists, and oversight bodies actually useMost government open data portals accumulate datasets that no one downloads twice. This playbook shows CDOs in public agencies and nonprofits how to design, publish, and maintain data releases that drive real use by journalists, advocates, and oversight bodies.
- AIThe algorithm that denied bail: what a 2016 courtroom controversy still teaches us about AI fairnessIn 2016, an algorithm called COMPAS was put under the microscope by ProPublica journalists, and what they found split the AI community down the middle. The argument that followed is one of the clearest illustrations of why "fairness" in AI is not a technical setting you dial in, but a choice with real consequences.
Frequently asked questions
What does the Public Sector & Nonprofit vertical actually cover?
It covers how public organizations and nonprofits operate, then applies four business lenses to that context: finance, marketing, data and AI. Five blocks in total, starting with the sector overview (mission over profit, budgets, procurement, stakeholders, accountability) before moving into each function.
Who is this for if I don't work in government?
It fits anyone who sells to, funds, partners with or reports to public bodies and nonprofits: suppliers responding to procurement, foundation staff, consultants, or a manager moving from a private company into a public role. The sector's logic (appropriations, accountability, outcomes instead of margin) explains behavior that looks irrational from the outside.
Where should I start if I have limited time?
Start with the sector overview block, then jump straight to the lens closest to your job. The overview explains budgets, procurement, stakeholders and public accountability, and the finance, marketing, data and AI blocks all assume you know that logic.
What's the difference between public-sector finance and corporate finance?
Corporate finance optimizes profit; public finance manages an appropriation. That changes everything downstream: fund accounting rather than a single P&L, spending constraints tied to how money was voted, cost-effectiveness and outcome measures in place of return on capital, and grants as a revenue line with its own reporting duties.
Does marketing even make sense for an organization that isn't selling anything?
Yes, but the objective shifts. Public and nonprofit communication targets behavior change through campaigns, raises money from donors, and builds stakeholder trust, with transparency as a constraint rather than an option. The marketing block in the Public Sector & Nonprofit vertical covers those four uses.
Why is data work harder in public organizations than in a tech company?
Two reasons dominate: legacy systems that were never designed to share data, and constraints on what you may do with citizen records. The data block covers open data and service metrics, outcome measurement, privacy and equity questions, and how to work with the systems you actually have.
What are the realistic uses of AI in a public administration today?
Mainly service delivery and process automation, plus fraud detection and eligibility screening. Each of these carries accountability, bias and transparency requirements that a private company would not face at the same level, which is why the AI block treats those constraints as part of the design, not as an afterthought.
Do I get a certificate, and do I need an account to read?
No certificate and no diploma: this is not a school and there is no state-recognized credential. Reading is free and open, and an account only exists to save where you stopped.