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The Blockchain Analytics and Cryptocurrency Trends course in Amsterdam is a specialized training course that equips professionals to analyze blockchain data and understand evolving cryptocurrency markets.

Amsterdam

Fees: 5900
From: 18-05-2026
To: 22-05-2026

Amsterdam

Fees: 5900
From: 17-08-2026
To: 21-08-2026

Amsterdam

Fees: 5900
From: 14-09-2026
To: 18-09-2026

Amsterdam

Fees: 5900
From: 23-11-2026
To: 27-11-2026

Blockchain Analytics and Cryptocurrency Trends

Course Overview

The rapid rise of blockchain and cryptocurrencies has transformed finance, technology, and global markets. This Blockchain Analytics and Cryptocurrency Trends Training Course introduces participants to blockchain fundamentals, transaction analytics, risk assessment, and market forecasting in the crypto space.

Participants will learn how to interpret blockchain data, monitor transactions, and evaluate cryptocurrency trends using AI and analytics. Case studies will illustrate how organizations manage compliance, prevent fraud, and leverage blockchain insights for decision-making.

By the end of the course, attendees will be equipped with the knowledge to analyze blockchain data responsibly, identify opportunities, and navigate risks in the cryptocurrency landscape.

Course Benefits

  • Understand blockchain analytics and crypto data structures

  • Analyze market trends and investment patterns

  • Strengthen fraud detection and compliance monitoring

  • Apply AI and analytics to digital asset management

  • Build confidence in making data-driven crypto decisions

Course Objectives

  • Explore blockchain fundamentals and transaction data

  • Use analytics to interpret cryptocurrency market trends

  • Apply AI tools for fraud detection and compliance

  • Assess risks in blockchain-based financial systems

  • Build strategies for digital asset analysis and forecasting

  • Recognize regulatory and ethical issues in cryptocurrency

  • Foster innovation through blockchain intelligence

Training Methodology

The course blends expert-led lectures, live demonstrations, case studies, and practical exercises. Participants will work with blockchain datasets and crypto analytics tools to gain hands-on experience.

Target Audience

  • Financial analysts and investment professionals

  • Compliance and risk officers

  • Technology and fintech specialists

  • Business leaders exploring blockchain adoption

Target Competencies

  • Blockchain data analytics

  • Cryptocurrency market trend analysis

  • Fraud detection and compliance with AI

  • Digital asset risk management

Course Outline

Unit 1: Blockchain and Cryptocurrency Fundamentals

  • Core blockchain concepts and architecture

  • Types of cryptocurrencies and tokens

  • How blockchain transactions work

  • Global landscape of digital assets

Unit 2: Blockchain Data and Transaction Analytics

  • Accessing and interpreting blockchain data

  • Tracking transactions across ledgers

  • Identifying anomalies and suspicious activity

  • Tools for blockchain analytics

Unit 3: Cryptocurrency Market Trends

  • Analyzing market cycles and volatility

  • Using AI to forecast price movements

  • Identifying trading patterns and investor behavior

  • Case studies in crypto market analysis

Unit 4: Fraud Detection, Compliance, and Risk

  • AML and KYC in the blockchain era

  • Detecting fraud and illicit transactions

  • Regulatory challenges and global compliance

  • Risk management frameworks for crypto assets

Unit 5: The Future of Blockchain Analytics

  • AI-driven blockchain intelligence

  • Emerging DeFi (Decentralized Finance) trends

  • NFTs and digital asset evolution

  • Preparing for the future of cryptocurrency markets

Ready to explore blockchain intelligence?
Join the Blockchain Analytics and Cryptocurrency Trends Training Course with EuroQuest International Training and stay ahead in the world of digital assets.

Blockchain Analytics and Cryptocurrency Trends

The Blockchain Analytics and Cryptocurrency Trends Training Courses in Amsterdam provide professionals with a comprehensive understanding of blockchain technology, digital assets, and the evolving landscape of cryptocurrency markets. These programs are designed for finance experts, compliance officers, legal professionals, and technology leaders who aim to master blockchain analytics, regulatory frameworks, and strategic applications of digital currencies in global business.

Participants gain a detailed overview of blockchain analytics, exploring how distributed ledger technology underpins transparency, security, and traceability in financial and commercial transactions. The courses cover key topics such as cryptocurrency valuation, transaction monitoring, anti-money laundering (AML) compliance, and data analytics tools used to trace blockchain activity. Through practical workshops and real-world case studies, attendees learn to interpret blockchain data, assess market trends, and detect irregular patterns linked to fraud or financial risk.

These blockchain and cryptocurrency training programs in Amsterdam combine theoretical foundations with applied technical and analytical skills. Participants explore smart contracts, decentralized finance (DeFi), and emerging regulatory standards shaping the digital economy. The curriculum emphasizes how blockchain analytics supports decision-making in compliance, risk management, and investment strategy, bridging the gap between technology and business operations.

Attending these training courses in Amsterdam offers professionals a unique opportunity to learn from industry experts and engage with peers from finance, law, and technology sectors. The city’s progressive innovation ecosystem provides an ideal setting to explore the future of digital finance and blockchain integration. By completing this specialization, participants will be equipped with the knowledge and analytical tools to evaluate blockchain networks, manage compliance challenges, and leverage cryptocurrency trends strategically—enhancing their professional value in a rapidly evolving global financial landscape.