ON-CHAIN-ANALYSIS-TUTORIALS

Web 3 Analyst Curriculum

Welcome to the Web 3 Analyst Curriculum, a comprehensive roadmap designed to help learners gain expertise in Web 3 technologies, blockchain, decentralized applications (dApps), and related domains. This curriculum is structured to guide you through essential concepts, tools, and frameworks required to thrive as a Web 3 analyst.

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📚 Table of Contents

1. Introduction to Web 3.0

   • Definition of Web 3.0
   • Understanding the Semantic Web
   • Differences Between Web 2.0 and Web 3.0
   • Elements of Web 3.0 (Personalization, Semantic Search, Data Portability, etc.)

2. Blockchain Technology

   • Basics of Blockchain and Distributed Ledger Technology (DLT)
   • Decentralization and Peer-to-Peer Networks
   • Blockchain as the Backbone of Web 3.0
   • Smart Contracts and Decentralized Applications (dApps)

3. Cryptography

   • Symmetric vs. Asymmetric Cryptography
   • Cryptographic Applications in Blockchain
   • Public Key Infrastructure (PKI) and Digital Signatures

4. Decentralized Applications (dApps) Analysis

   • Features of dApps
   • Smart Contract Writing and dApps Development
   • dApps Architecture and Use Cases

5. Decentralized Finance (DeFi)

   • Understanding DeFi Concepts
   • DeFi Platforms and Processes
   • Benefits, Challenges, and Risks in DeFi

6. Distributed Ledger Technology (DLT)

   • Basics of DLT and its Role in Web 3.0
   • Types of Distributed Ledger Technology
   • DLT Use Cases in Web 3.0

7. InterPlanetary File System (IPFS)

   • Overview and Advantages of IPFS
   • IPFS in Data Storage and Decentralized Applications

8. Web 3.0 Data Analysis

   • Data Collection and Processing Techniques
   • Data Manipulation, Analysis, and Visualization

9. Web 3.0 Security

   • Authentication, Authorization, and Smart Contract Vulnerabilities
   • Security Best Practices and Privacy in Web 3.0

10. Artificial Intelligence in Web 3.0

    • AI and the Semantic Web
    • AI in Blockchain Security and Data Management

11. Web 3.0 Search Engines & SEO

    • Basics of Semantic Search Engines
    • SEO Best Practices in Web 3.0

12. Internet of Things (IoT) in Web 3.0

    • IoT and Blockchain in Web 3.0
    • Interoperability of IoT Networks

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🛠 Getting Started

Prerequisites

To follow this curriculum, you should have:

• Basic knowledge of programming
• Familiarity with blockchain fundamentals
• A willingness to explore and learn new technologies

Tools and Resources

• Blockchain platforms: Ethereum, Polygon, Starknet
• Cryptography tools: OpenSSL, GPG
• Decentralized storage: IPFS, Filecoin
• IDEs: Remix, Visual Studio Code
• Libraries: Web3.js, Ethers.js

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🚀 How to Use This Curriculum

1. Clone this repository to your local machine:

   git clone https://github.com/your-username/web3-analyst-curriculum.git

2. Explore each topic folder sequentially.
3. Complete the exercises, read the references, and implement projects.

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🌟 Contributing

If you'd like to contribute to this curriculum:

1. Fork the repository.
2. Create a new branch for your feature or update.
3. Submit a pull request with a description of your changes.

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🛡 License

This project is licensed under the MIT License. See the LICENSE file for details.

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Start your journey as a Web 3 Analyst today! 🚀