Python for Blockchain Data Analytics

Build blockchain data pipelines, automate workflows, and analyze onchain activity with Python.

BlockchainBeginner4.91,680 students2 months

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Overview

An intensive 2-month (8-week) training that builds foundational and applied Python skills for data analysis and blockchain analytics. Through a hands-on approach, participants explore how Python can analyze on-chain data, build dashboards, and extract insights from real-world blockchain transactions, ending with a capstone dashboard or report.

What you'll learn

Python fundamentals
Pandas & NumPy
Matplotlib & Seaborn
APIs (Etherscan, CoinPaprika)
web3.py
Streamlit / Dash dashboards
On-chain analysis

Curriculum

1. Python Fundamentals

Python syntax, variables, and data types (strings, lists, dictionaries, and more)Session

Control structures: loops (for, while) and conditional statements (if-else)Session

Writing and using functions; importing standard and custom modulesSession

Working with files (CSV, JSON) for data input/outputSession

Basic error handling (try-except) and debugging techniquesSession

Introduction to APIs: making RESTful API calls with the requests moduleSession

Hands-on: Write Python scripts to pull data from APIs and process local data filesHands-on

2. Python for Data Analysis

Data wrangling and analysis with Pandas and NumPySession

Data visualization with Matplotlib and SeabornSession

Web scraping fundamentals using BeautifulSoup and SeleniumSession

API data extraction: working with Etherscan and CoinPaprika APIsSession

Running SQL queries with sqlite3 and integrating with Pandas (read_sql)Session

Project: Extract token market data from an API and visualize price, volume, and trend metricsProject

3. Python for Blockchain Analytics

Blockchain architecture and on-chain data structures (blocks, transactions, logs)Session

Fetching on-chain data using Flipside, Dune, and Etherscan APIsSession

Writing and executing blockchain queries with SQLSession

Using web3.py to interact with Ethereum: transactions, balances, and contract dataSession

Building simple data dashboards using Streamlit or DashSession

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

4. Real-World On-chain Analysis

Analysing DEX swaps, NFT sales, and DeFi transactionsSession

Wallet profiling and activity trackingSession

Transaction flow analysis and trend identificationSession

Structuring and presenting analytical reports for investors or protocol teamsSession

Capstone: Design and present a full blockchain analytics dashboard/report covering token performance, whale wallet behavior, or comparative DeFi metricsCapstone

Requirements

• Basic computer literacy
• No prior blockchain experience required
• A laptop with 8GB+ RAM