Learning Hub
Interactive lessons, tutorials, and quizzes on AML compliance, financial markets, data engineering, and DataOps — powered by Bloom taxonomy.
Intermediate (18)
-
AML Enforcement in Practice: Regulatory Actions and Compliance Implementation
Apply AML concepts to real-world enforcement cases: HSBC, Standard Chartered, BNP Paribas... -
Applying Market Analysis: Investment Theses, Portfolio Construction, and Risk Management
Apply market analysis techniques to real scenarios: building investment theses with catalysts... -
Behavioral Design for Learning — Psychology Behind Effective Education Platforms
Explore the behavioral psychology principles that make learning platforms like Duolingo, Khan... -
Building Data Pipelines with dbt and Dagster: From SQL to Orchestration
Learn dbt fundamentals (models, tests, docs, sources), Dagster's software-defined asset... -
Building Resilient Data Pipelines with Spark and dbt
Combine Spark's processing power with dbt's transformation layer to build production-grade,... -
Building an Open Source Data Stack: From Ingestion to Analytics
The Modern Open Source Data Stack The 2026 open source data stack is modular, composable, and... -
Crypto AML & Digital Assets — Compliance in the Age of DeFi
Understand how anti-money laundering regulations apply to cryptocurrencies, stablecoins, DeFi... -
Data Ethics & Privacy Engineering — Building Trustworthy Data Systems
Navigate the ethical and privacy challenges of data-driven systems: privacy-by-design... -
Data Quality Engineering: Testing, Monitoring, and Expectations at Scale
Why Data Quality Engineering Matters In a DataOps culture, data quality is not discovered after... -
Data Quality, Observability, and Cost Optimization at Scale
Master data quality frameworks (Great Expectations, dbt tests), data observability (freshness,... -
How to Analyse Market Signals — Interactive Tutorial
Learn to identify and interpret fundamental, technical, sentiment, and macroeconomic market... -
KYC/CDD Workflows: From Onboarding to Ongoing Monitoring
Deep-dive into Know Your Customer and Customer Due Diligence processes — the frontline defense... -
Meta-Analysis & Statistical Literacy — Reading Research That Reads Research
Develop the skills to critically evaluate bodies of evidence: meta-analysis methods, effect... -
Partitioning Strategies: Optimizing Data Layout for Performance
Learn how partitioning strategies affect query performance, storage efficiency, and cost in... -
PySpark Fundamentals: Distributed Data Processing at Scale
Master PySpark DataFrame API, Spark SQL, and distributed processing patterns for building... -
Quantitative Methods in Finance: From Descriptive Statistics to Factor Models
Foundation of quantitative finance — statistical methods, risk measures, and multi-factor models... -
Sanctions Screening: Tools, Techniques, and Compliance Challenges
Navigate the complex landscape of sanctions compliance — OFAC SDN lists, screening technologies,... -
Sector and Competitive Analysis: Industry Frameworks, Moats, and TAM Analysis
Analyze industries and competitive positioning: Porter's Five Forces, types of competitive moats...
Beginner (56)
-
AI and Machine Learning in AML Surveillance: Models, Validation, and Explainability
Machine learning is transforming AML surveillance by detecting complex patterns that rule-based... -
AML & Compliance Glossary: Key Terms, Frameworks, and Red Flags
An introduction to anti-money laundering: the three stages of money laundering, global... -
AML Audit and Examination: Preparing for Regulatory Reviews
Regulatory examinations of AML programs are increasingly rigorous, with examiners using data... -
AML Fundamentals — A Beginner's Guide
Understand money laundering stages, the AML regulatory framework, KYC requirements, suspicious... -
AML Knowledge Check — Interactive Quiz
Scenario-based quiz testing AML knowledge across money laundering stages, regulations, red flag... -
AML Training, Culture, and the Convergence with ESG Compliance
A culture of compliance extends beyond policies to encompass ongoing training, awareness, and... -
Algorithmic Trading: Strategies, Infrastructure, and Market Impact
Algorithmic trading uses computer programs to execute trades based on predefined rules,... -
Alternative Data in Investment Analysis: Sources, Methods, and Due Diligence
Alternative data encompasses non-traditional information sources used to gain investment... -
Behavioral Finance: Cognitive Biases and Market Anomalies
Behavioral finance challenges the efficient market hypothesis by incorporating psychological... -
Change Data Capture: Real-Time Sync Patterns and Tools
Change Data Capture (CDC) captures row-level changes in databases and streams them to downstream... -
Correspondent Banking AML and the De-Risking Dilemma
Correspondent banking enables cross-border payments but carries significant ML/TF risk, leading... -
Cross-Asset and Commodity Trading Strategies
Cross-asset trading exploits relationships between different asset classes — equities, fixed... -
Cryptocurrency AML: Travel Rule, DeFi, and MiCA Regulation
Regulation of virtual assets has rapidly evolved, with the FATF Travel Rule and EU MiCA setting... -
Cryptocurrency Markets: Market Structure, Trends, and Regulation
Cryptocurrency markets operate 24/7 with unique microstructure characteristics including... -
Dark Pools, ATS, and Off-Exchange Trading: Structure and Regulation
Dark pools and alternative trading systems (ATS) allow institutional investors to trade large... -
Data Contracts & Data Lineage: Building Trust in Modern Data Pipelines
Data contracts formalize the agreement between data producers and consumers, while data lineage... -
Data Engineering Basics: Glossary and Tool Landscape
An introduction to data engineering: the lifecycle, modern tools, architectural patterns, and... -
Data Mesh: Architecture, Governance, and Real-World Adoption
Data mesh applies domain-driven design to data architecture, organizing ownership by business... -
Data Pipeline Cost Optimization: FinOps, Rightsizing, and Platform KPIs
As data volumes grow, pipeline costs can spiral without disciplined measurement and... -
Data Pipeline Fundamentals: Batch vs Streaming
Data pipelines move and transform data from source to destination. This module explains batch... -
Data Pipeline Patterns: Batch, Streaming, and Event-Driven Architectures
Understand batch processing, stream processing, micro-batch, Lambda vs Kappa architectures,... -
Data Quality Monitoring: SLAs, Observability, and Automated Testing
Data quality monitoring ensures pipelines deliver trustworthy data through automated detection... -
Data Security and Access Control in Modern Data Architectures
Data security protects data from unauthorized access, modification, and exfiltration across... -
Data Versioning and Reproducibility for Analytics and ML
Data versioning tracks changes to datasets over time, enabling reproducibility, auditing, and... -
Data Warehouse vs Data Lake: Choosing the Right Architecture
Data warehouses and data lakes serve different purposes in the modern data stack. This guide... -
DataOps: Principles, Practices, and Pipeline Architecture
What is DataOps? DataOps is an automated, process-oriented methodology used by data teams to... -
ELT Pipelines, Reverse ETL, and the Rise of Analytics Engineering
The ELT paradigm transforms data after loading into the warehouse, leveraging cloud warehouse... -
Enhanced Due Diligence, PEP Screening, and Adverse Media in Practice
Enhanced Due Diligence (EDD) applies additional scrutiny to high-risk customers beyond standard... -
Entity Resolution and Network Analysis for Financial Crime Detection
Financial crime networks are sophisticated, using shell companies, nominees, and layered... -
FX Market Structure and Global Currency Trading
The foreign exchange market is the largest financial market in the world, with over $7.5... -
Factor Investing and Risk Parity: Modern Portfolio Construction
Factor investing targets specific drivers of returns rather than broad market exposure, while... -
Fixed Income and Macro Markets: Bonds, Yield Curves, and Global Economic Trends
Fixed income markets form the foundation of global capital markets, determining borrowing costs... -
How Stock Markets Work: A Beginner's Guide
Stock markets are where buyers and sellers trade ownership shares in public companies. This... -
International AML Cooperation: FATF, Egmont Group, and Information Sharing
Combating money laundering requires cross-border cooperation among regulators, financial... -
Introduction to Data Quality: Why It Matters
Poor data quality costs organizations millions. This beginner module covers the six dimensions... -
Introduction to Investment Risk and Return
Risk and return are the two fundamental concepts in investing. This beginner module explains... -
Market Analysis Methods: Fundamental, Technical, Quant, Sentiment, and Macro Approaches
Understand the major approaches to market analysis: fundamental analysis (DCF, P/E, EV/EBITDA,... -
Market Fundamentals: Asset Classes, Participants, and Market Structure
A comprehensive glossary of financial market essentials: primary vs secondary markets, equities,... -
Market Microstructure: Order Books, Liquidity, and VPIN Toxicity
Market microstructure studies the process by which prices emerge from the interaction of orders,... -
Money Laundering Mechanisms: Trade, Crypto, Shell Companies, and Real Estate
Understand the mechanisms criminals use to launder money: trade-based laundering, cryptocurrency... -
Money Laundering Typologies: Current Methods and 2026 Trends
Money launderers continuously adapt their methods to exploit gaps in regulatory frameworks. This... -
Privacy Engineering: Anonymization, Synthetic Data, and Differential Privacy
Privacy engineering embeds data protection into system design. This module covers anonymization... -
Reading Financial Statements for Beginners
Financial statements tell you how a company is performing. This module covers the three core... -
Regulatory Compliance for Data Platforms: DORA, NIS2, EU AI Act, and Data Act
European digital regulation is reshaping how data platforms must manage risk, security, and... -
SQL Fundamentals for Data Engineers
SQL is the universal language of data. This beginner module covers essential SQL concepts every... -
Sanctions Compliance: OFAC, EU, UN Regimes, and Screening Best Practices
Sanctions compliance requires institutions to screen customers, transactions, and counterparties... -
Schema Management: Registries, Evolution, and Migration Strategies
Schema management ensures data structures remain compatible across producers and consumers as... -
Scientific Reasoning in Research Synthesis
Master the skills of scientific reasoning: evaluating claims, understanding replication crisis,... -
The ETF Ecosystem: Creation, Redemption, and Market Impact
ETFs have become the dominant vehicle for retail and institutional investing, with global AUM... -
The Modern Data Catalog: Metadata, Discovery, and AI-Driven Automation
A data catalog is the central inventory of an organization's data assets, enabling discovery,... -
The Risk-Based Approach in AML: Framework, Calibration, and Implementation
The risk-based approach (RBA) is the cornerstone of modern AML compliance, requiring... -
Trade Finance and Trade-Based Money Laundering Detection
Trade-based money laundering (TBML) exploits the complexity of international trade transactions... -
Understanding Market Indices: S&P 500, Dow Jones, and NASDAQ
Market indices track the performance of a group of stocks and serve as benchmarks for the... -
Volatility Trading: VIX, Options Strategies, and the Volatility Surface
Volatility trading allows investors to trade uncertainty itself rather than directional price... -
What Are ETFs? Exchange-Traded Funds Explained
Exchange-Traded Funds (ETFs) are investment funds that trade on stock exchanges like individual... -
What Is Data Engineering? A Beginner's Guide
Data engineering is the practice of designing and building systems for collecting, storing, and...
Advanced (9)
-
Behavioral Finance & Portfolio Theory — Mind, Market, and Money
Understand how cognitive biases distort financial decision-making, how modern portfolio theory... -
Designing a Comprehensive AML Compliance Program
Create a complete AML compliance program: risk assessment methodology with weighted scoring,... -
Designing a Production Data Platform: From Requirements to Architecture
Master the full lifecycle of data platform design: requirements gathering, architecture... -
Learning Hub
Interactive lessons, quizzes, and tutorials on AML, financial markets, and science. -
Market Microstructure: How Trades Execute and Prices Form
Understand the mechanics of order execution, bid-ask spreads, market making, and how electronic... -
SAR Filing Scenarios: Identifying and Reporting Suspicious Activity
Master the art of Suspicious Activity Report writing through real-world scenarios — structuring,... -
Semiconductor Supply Chain — Geopolitics, Markets, and the $1T Chip Industry
Explore the global semiconductor supply chain in 2026: $975 billion market, AI-driven demand... -
Trade-Based Money Laundering & Sanctions — The $2 Trillion Blind Spot
Explore trade-based money laundering techniques, sanctions screening frameworks, beneficial... -
Volatility Analysis: Measuring, Modeling, and Trading Uncertainty
Understand volatility as an asset class — from historical vol to implied vol surfaces, VIX...