Python for Blockchain Data Analytics

Python for Blockchain Data Analytics (2-Month Training Program)

 Program Overview

This intensive 8-week training is designed to provide participants with both foundational and applied knowledge in Python programming, data analysis, and blockchain analytics. Through a hands-on approach, participants will explore how Python can be used to analyze on-chain data, build dashboards, and extract insights from real-world blockchain transactions.

 Module 1: Python Fundamentals (Week 1–2)

Objective: Build a solid foundation in Python programming for data analysis.

Topics Covered:

  • Python syntax, variables, and data types (strings, lists, dictionaries, etc.)
  • Control structures: loops (for, while), conditional statements (if-else)
  • Writing and using functions; importing standard and custom modules
  • Working with files (CSV, JSON) for data input/output
  • Basic error handling (try-except) and debugging techniques
  • Introduction to APIs: making RESTful API calls with requests module

 Hands-On:
 Write Python scripts to pull data from APIs and process local data files.

 

 Module 2: Python for Data Analysis (Week 3–4)

Objective: Learn to manipulate and visualise data using Python libraries.

Topics Covered:

  • Data wrangling and analysis with Pandas and NumPy
  • Data visualization with Matplotlib and Seaborn
  • Web scraping fundamentals using BeautifulSoup and Selenium
  • API data extraction: working with Etherscan and CoinPaprika APIs
  • Running SQL queries using sqlite3 and integrating with Pandas (read_sql)

 Project:
 Extract token market data from an API and visualize key metrics like price, volume, and trend.

 

 Module 3: Python for Blockchain Analytics (Week 5–6)

Objective: Bridge Python skills with blockchain-specific data analysis.

Topics Covered:

  • Blockchain architecture and on-chain data structures (blocks, transactions, logs)
  • Fetching on-chain data using Flipside, Dune, and Etherscan APIs
  • Writing and executing blockchain queries with SQL
  • Using web3.py to interact with Ethereum: reading transactions, balances, and contract data
  • Building simple data dashboards using Streamlit or Dash

 Project:
 Build a mini-dashboard to track Uniswap token swaps or wallet activity.

 

 Module 4: Real-World On-chain Analysis (Week 7–8)

Objective: Apply skills to real-world blockchain datasets to extract insights.

Topics Covered:

  • Analysing DEX swaps, NFT sales, and DeFi transactions
  • Wallet profiling and activity tracking
  • Transaction flow analysis and trend identification
  • Structuring and presenting analytical reports for investors or protocol teams

 Capstone Project:
 Design and present a full blockchain analytics dashboard/report based on real on-chain data. Suggested topics:

  • Token performance over time
  • Wallet behavior of a whale/institution
  • Comparative DeFi protocol metrics

 Final Deliverables & Program Features

  • Weekly coding exercises and project assignments
  • Capstone project presentation in Week 8
  • Live coding walkthroughs and dataset case studies

Certificate of Completion for successful participants

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