Understanding Blockchain Chain Analysis

Blockchain Data Analysis for Everyone

What you'll learn

Understanding Blockchain Fundamentals

Proficient Data Extraction and Analysis

Blockchain Data Visualization

Detecting Anomalies and Security Threats

Real-World Application and Case Studies

Requirements

None

Description

This course is designed to provide a comprehensive understanding of blockchain technology and how to analyze blockchain data effectively. Students will learn about various blockchain platforms, data analysis tools, and techniques to investigate and interpret blockchain data. Unlock the power of blockchain data with our self-paced Blockchain Data Analysis Masterclass. Dive deep into the world of blockchain technology and become an expert in extracting, processing, and analyzing blockchain data. Whether you're a seasoned data analyst or a newcomer to the field, this course will equip you with the skills and knowledge to excel in blockchain data analysis.Course Highlights:Foundational Blockchain Education: Gain a strong foundation in blockchain fundamentals, including how it works, its components, and its applications.Practical Data Extraction: Master the art of data extraction from various blockchain networks and learn how to handle data from cryptocurrencies like Bitcoin and Ethereum.Data Visualization: Create captivating visualizations of blockchain data using industry-standard tools to communicate your insights effectively.Security and Anomaly Detection: Detect anomalies, security threats, and vulnerabilities in blockchain data, and learn how to conduct security audits on smart contracts.Real-World Application: Apply your knowledge to real-world case studies and projects, solving complex problems in areas such as transaction tracing, fraud detection, and compliance checks.Why Choose This Course?Self-paced learning allows you to tailor your studies to your schedule.Engaging content and hands-on projects.Access to a supportive community and an experienced instructor.Blockchain data analysis skills are in high demand in various industries.Become a blockchain data analysis expert and embark on a journey into one of the most revolutionary technologies of our time. Join our Blockchain Data Analysis course today and gain a competitive edge in your career.

Overview

Section 1: Introduction

Lecture 1 Course Overview

Lecture 2 Free copy of the study book for this course

Section 2: Module 1 - Introduction to Blockchain Foundations

Lecture 3 Overview of Blockchain Technology

Lecture 4 Key Physical Components of the Blockchain

Lecture 5 Key Logical Components of the Blockchain

Lecture 6 Linking blocks in a Blockchain: Creating the Chain

Lecture 7 Decentralization

Lecture 8 Consensus Mechanisms

Lecture 9 Data Security and Privacy

Lecture 10 Common Blockchain Layers

Lecture 11 Smart Contracts

Lecture 12 Where are Blockchains Used?

Lecture 13 Types of Blockchains

Lecture 14 Issues in Blockchain Analysis

Section 3: Module 2 Fundamentals of Cryptocurrency

Lecture 15 Understanding Cryptocurrencies

Lecture 16 What are the major Cryptocurrencies in circulation

Lecture 17 Cryptography in Blockchain and Cryptocurrencies

Lecture 18 Wallets, Addresses and Private Keys

Lecture 19 Privacy Coins

Section 4: Module 3 Blockchain Data Structures

Lecture 20 Block Formatting

Lecture 21 Transactions

Lecture 22 Understanding block format differences

Lecture 23 Merkle Trees

Lecture 24 UTXOs

Lecture 25 Smart Contracts and their role in Data Analysis

Section 5: Module 4 Analyzing Bitcoin Transactions

Lecture 26 Transaction Inputs and Outputs

Lecture 27 Transaction Scripts (OpCodes)

Lecture 28 OpCodes

Lecture 29 Blockchain Explorer Tools

Lecture 30 Tracking Transactions

Lecture 31 Etherscan.io example

Section 6: Module 5 Ethereum and Smart Contract Analysis

Lecture 32 Overview

Lecture 33 Understanding Ethereum

Lecture 34 Smart Contracts and Solidity

Lecture 35 Contract Interaction and Code Analysis

Lecture 36 Smart Contracts and Blockchain Explorers

Section 7: Module 6 Blockchain Analysis Tools

Lecture 37 Blockchain Analysis Tools

Lecture 38 Practical Use of Blockchain Tools

Lecture 39 Blockchain Analysis Platforms

Lecture 40 Wallet Reputation Scores

Lecture 41 Limitations

Lecture 42 Data Visualization

Lecture 43 Blockchain Visualization Tools

Lecture 44 Machine Learning and Data Analysis

Lecture 45 Common ML Models for Blockchain

Lecture 46 BaaS Blockchain as a Service

Lecture 47 Legal Concerns

Section 8: Visualization Hands On

Lecture 48 Gephi Part 1 Getting Started

Lecture 49 Gephi Part 2 Data Cleaning

Lecture 50 Gephi Part 3 The Social Graph

Lecture 51 Gephi Data Files Zip

Lecture 52 Bit Query

Lecture 53 Bread Crumb App

Lecture 54 Blockpath

Lecture 55 Crystal Visualization

Lecture 56 Google Big Query

Section 9: Module 7 Additional Resources

Lecture 57 Cryptocurrency Security Standard

Lecture 58 Example: Flash Loan Attacks

Lecture 59 Flash loan Example

Lecture 60 Address Clustering

Lecture 61 Responsible Disclosure

Lecture 62 Special Privacy Considerations

Lecture 63 Special Legal Considerations

Lecture 64 Data Ownership

Lecture 65 Where to find good data sources

Lecture 66 Working with Data

Lecture 67 AI/ML Using Predictive Modeling

Section 10: Final Thank you!

Lecture 68 Congratulations!

This course addresses multiple levels of knowledge about blockchain and data analysis. It is meant to be an overview of the process for chain analysis and as such is aimed more at beginners with some intermediate ideas. If you already have a certificate in blockchain data analysis or chain analysis you will probably find this course dull or repetitive in many ways. The ideal student for this course has the following traits Technical Proficiency: Students should have a strong foundation in computer science, data science, or a related technical field. Proficiency in programming languages like Python is often essential, as many blockchain data analysis tasks involve scripting and data manipulation. Blockchain Knowledge: A solid understanding of blockchain technology, its structure, and how cryptocurrencies work is crucial. Students should be familiar with key blockchain concepts like blocks, transactions, cryptographic hashing, and decentralization. Data Analysis Skills: Students should have a background in data analysis, statistics, and data visualization. They should be comfortable working with datasets, databases, and analytics tools. Curiosity and Critical Thinking: Given the complex and rapidly evolving nature of blockchain data, students should be curious and possess strong critical thinking skills. The ability to approach problems with a creative and analytical mindset is invaluable. Ethical and Legal Awareness: An understanding of the ethical and legal aspects of blockchain data analysis is important. Students should be aware of privacy concerns, consent, and regulations related to handling and analyzing blockchain data. Mathematics Proficiency: Blockchain data analysis often involves mathematical concepts, especially in cryptography and statistical analysis. Students with a background in mathematics will find it easier to grasp these aspects. Programming Skills: While not all blockchain data analysis requires extensive programming, the ability to write scripts and work with APIs is an advantage. Familiarity with libraries and tools commonly used in data analysis, like Pandas and Jupyter notebooks, can be beneficial. Patience and Attention to Detail: Blockchain data analysis can be intricate and sometimes time-consuming. Students should be patient and pay close attention to detail, as small oversights can lead to incorrect conclusions. Interest in Cryptocurrency and Blockchain: Enthusiasm for cryptocurrency and blockchain technology can be a motivating factor. A genuine interest in the subject matter often leads to more engaged learning. Adaptability: The blockchain space evolves rapidly. Students should be adaptable and willing to keep up with the latest trends, technologies, and analytical methods.