Banking
How banks actually work, and the finance, marketing, data and AI that run them.
Banking runs on trust, regulation, and the management of risk and liquidity. From how a bank makes money on the spread to Basel capital rules, deposit dynamics, and the fintech pressure reshaping it, this vertical gives you the sector's big picture, then finance, marketing, data and AI applied inside it.
Key terms
Why specialize in Banking?
Cross-cutting skills are not enough in the Banking 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 Banking, with the calculations, benchmarks and checklists you actually need on the ground.
What you'll be able to do
- Understand how the Banking 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 Banking (US and Europe markets)
- Apply finance, marketing, data and AI to the realities of Banking
- 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.
Curriculum
Banking: how the sector works
Generalhow a bank works and makes money: deposits, lending, net interest margin, the balance sheet, regulation (Basel, deposit insurance), and the retail vs corporate vs investment banking split.
4 Modules · 18 Lessons
Finance in banking
Financebank-specific finance: capital adequacy and Basel ratios, liquidity and funding, credit risk provisioning, and why a bank's own P&L and balance sheet read unlike any other company.
3 Modules · 13 Lessons
Marketing in banking
Marketingmarketing regulated financial products: trust and brand, acquisition economics, cross-sell and primary-bank relationships, fair-treatment and disclosure rules that constrain messaging.
3 Modules · 13 Lessons
Data in banking
Datathe data that runs a bank: transactions, credit scoring, fraud and AML detection, risk models, and the strict governance, privacy and model-risk rules around them.
3 Modules · 13 Lessons
AI in banking
AIAI in banking: fraud detection, credit decisioning, customer service, and the heavy constraints of explainability, fairness and regulatory model governance.
3 Modules · 13 Lessons