Course overview
The Blockchain Analytics and Cryptocurrency Transaction Analysis course provides practical knowledge and skills for analysing blockchain data, cryptocurrency transactions and digital-asset activity. Participants learn how blockchain transactions are recorded, how wallet addresses and transaction flows can be examined, and how blockchain data can be used to identify patterns, risks, anomalies and potentially suspicious activities.
The course combines blockchain fundamentals with practical transaction-analysis techniques applicable to financial crime investigations, AML/KYC, compliance, fraud detection, risk management, auditing, cybersecurity and digital-asset intelligence. Participants work with blockchain explorers, transaction records, wallet activity and realistic case scenarios to develop the ability to interpret blockchain data and produce meaningful analytical findings.
Course objectives
- Explain blockchain data structures and cryptocurrency transaction mechanisms.
- Document blockchain-analysis findings for compliance, audit and investigation purposes.
- Develop transaction-risk indicators and analytical workflows.
- Use blockchain explorers and relevant analytical tools for transaction analysis.
- Analyse cryptocurrency fraud, scams and illicit transaction scenarios.
- Apply blockchain analytics techniques to financial-crime investigations.
- Identify unusual and potentially suspicious transaction patterns.
- Trace cryptocurrency transaction flows across multiple addresses.
- Analyse wallet addresses and transaction histories.
- Interpret cryptocurrency transactions and blockchain records.
Who should attend
Blockchain analysts, AML and KYC professionals, financial-crime investigators, compliance officers, fraud investigators, forensic accountants, auditors, cybersecurity professionals, law-enforcement professionals, intelligence analysts, risk managers, cryptocurrency exchange personnel, VASP professionals, regulators, fintech professionals and professionals involved in digital-asset investigations.
Course content
- Module 1: Introduction to Blockchain Analytics and Cryptocurrency Transactions Blockchain analytics concepts, distributed ledgers, cryptocurrency ecosystems, public and permissioned blockchains, blockchain transparency, pseudonymous transactions, blockch
- Module 2: Blockchain Data Structures and Transaction Fundamentals Blocks and blockchains, transaction hashes, timestamps, confirmations, transaction fees, inputs and outputs, addresses, UTXO and account-based models, transaction metadata, smart-contract
- Module 3: Cryptocurrency Wallets, Addresses and Transaction Relationships Wallet concepts, wallet addresses, custodial and non-custodial wallets, exchange wallets, self-hosted wallets, address reuse, wallet activity, transaction relationships, address ow
- Module 4: Blockchain Explorers and Data Analysis Tools Blockchain explorers, searching transactions and addresses, interpreting transaction pages, reviewing block information, analysing token transfers, examining transaction histories, extracting relevan
- Module 5: Cryptocurrency Transaction Flow Analysis Following cryptocurrency movements, tracing funds between addresses, transaction chains, incoming and outgoing transactions, identifying transaction paths, analysing transaction timing and amounts, mappi
- Module 6: Wallet Behaviour and Cryptocurrency Activity Analysis Wallet activity patterns, transaction frequency, transaction volume, dormant and active wallets, unusual wallet behaviour, high-volume wallets, rapid movement of funds, multiple-address acti
- Module 8: Blockchain Analytics for AML and Financial Crime Investigation Money laundering through cryptocurrency, layering and movement of digital assets, fraud proceeds, ransomware-related transactions, scams, illicit marketplaces, financial-crime typol
- Module 9: Cryptocurrency Fraud and Scam Transaction Analysis Cryptocurrency investment scams, phishing, ransomware, fraudulent tokens, fake exchanges, account compromise, impersonation schemes, romance scams, stolen assets and fraudulent transfers, ident
- Module 10: Transaction Clustering, Attribution and Risk Indicators Address clustering concepts, identifying related transaction activity, behavioural relationships, exchange and service-provider interactions, attribution challenges, entity identification
- Module 11: Investigation, Reporting and Analytical Documentation Developing investigation timelines, transaction mapping, evidence documentation, analytical findings, case notes, suspicious-activity assessments, visualising transaction flows, documenting
- Module 12: Advanced Blockchain Analytics and Emerging Digital Assets Token transaction analysis, stablecoin activity, smart-contract interactions, decentralized finance, decentralized exchanges, cross-chain activity, emerging blockchain networks, privacy
General notes
- It is more analytical and investigative than a general cryptocurrency course. Participants do not need to purchase cryptocurrency or engage in cryptocurrency trading. Practical learning can be conducted using blockchain explorers, simulated transaction datasets, transaction histories, case studies and controlled investigation scenarios.
- This course is designed for professionals who need to analyse blockchain data and cryptocurrency transactions for compliance, investigation, risk management, fraud detection, audit and financial-crime prevention.
- Blockchain Analytics Training, Cryptocurrency Transaction Analysis, Blockchain Transaction Analysis, Crypto Transaction Monitoring, Blockchain Investigation Training, Cryptocurrency Investigation, Blockchain Forensics, Crypto Financial Crime Investigation, Blockchain AML Analytics, Cryptocurrency Fraud Detection, Wallet Analysis, Blockchain Intelligence, Digital Asset Investigation, VASP Transaction Analysis.
Frequently asked questions
1. How will this course benefit my organisation?
1.The course can help organisations strengthen AML/KYC controls, improve cryptocurrency transaction monitoring, identify suspicious activity, reduce financial-crime exposure and develop stronger compliance and investigation processes.
2. 2. What is the Blockchain Analytics and Cryptocurrency Transaction Analysis course about?
The course focuses on analysing blockchain data, cryptocurrency transactions, wallet activity and transaction flows to identify patterns, risks, anomalies and potentially suspicious activities.
3. 3. Do I need prior blockchain knowledge?
No. The course introduces blockchain and cryptocurrency transaction fundamentals before progressing to practical blockchain analytics and investigation techniques.
4. 4. Will the course cover blockchain explorers?
Yes. Participants use blockchain explorers to examine transactions, wallet activity, blocks, token transfers and other publicly available blockchain information.
5. 5. Will I learn how to analyse cryptocurrency transactions?
Yes. Participants learn to interpret transaction hashes, addresses, timestamps, transaction amounts, confirmations, transaction histories and transaction flows.
Schedule & fees
| Dates | Location | Duration | Fee (USD) |
|---|
| 04/01/2027 - 08/01/2027 |
Nairobi,kenya or Virtual |
5 Days |
$1,500 |
| 15/02/2027 - 19/02/2027 |
Arusha,Tanzania |
5 Days |
$2,000 |
| 05/04/2027 - 09/04/2027 |
Zanzibar,Tanzania |
5 Days |
$2,000 |