📝 Course Description:
This course is a practical guide for tech-savvy investors who want to combine cryptocurrency investing with the power of Python programming to automate, analyze, and grow their crypto portfolios.
You’ll learn how to:
-
Analyze market trends using real-time data from APIs
-
Automate portfolio tracking and rebalancing
-
Build passive income strategies using staking, lending, and DeFi protocols
-
Create Python scripts that interact with crypto exchanges and wallets
Whether you’re a Python developer looking to break into crypto, or a crypto enthusiast wanting to automate your investment strategy, this course bridges the gap between financial technology and smart investing.
📜 Certification:
Upon successful completion, you will receive:
-
Certificate of Completion (printable and shareable on LinkedIn)
-
Option to mint your NFT certificate on the blockchain (via Ethereum or Polygon)
-
Quiz + Capstone Project Certificate (if final project is completed)
🎯 Course Outcomes:
By the end of this course, you will be able to:
-
Understand Cryptocurrency Fundamentals
-
Grasp how blockchain, tokens, and DeFi work in the context of investments
-
-
Automate Crypto Portfolio Tracking
-
Use Python to fetch real-time data from APIs (e.g., CoinGecko, Binance)
-
-
Build Passive Income Strategies
-
Explore staking, liquidity pools, lending protocols (Aave, Compound)
-
-
Create Python Bots
-
Automate trade execution, risk management, and asset rebalancing
-
-
Use DeFi Protocols Programmatically
-
Connect to DeFi apps and smart contracts using Web3.py and MetaMask
-
-
Visualize Your Portfolio
-
Generate dashboards using tools like
matplotlib
,Plotly
, orStreamlit
-
-
Deploy Your Tools Securely
-
Learn how to safely store API keys, run bots on the cloud, and manage risks
-
🧠 Target Audience:
-
Beginner to intermediate Python developers
-
Crypto investors looking to automate strategies
-
Financial analysts interested in DeFi and blockchain technology
-
Anyone seeking tech-enabled passive income
Course Features
- Lecture 1
- Quiz 0
- Duration 45 hours
- Skill level All levels
- Language English
- Students 10
- Certificate No
- Assessments Yes
Curriculum
- 9 Sections
- 1 Lesson
- 100 Weeks
- Introduction1
- Basics of Python Programming for Beginners0
- Data Analyzing with Pandas Library in Python0
- The Strategy0
- Binance Algorithmic Trading with Python0
- Assembling the Trading0
- Trading Multiple Coins Simultaneously with Threading and Multiprocessing0
- Creating Digital Ocean Server and Uploading Bot0
- Download the Final Trading Bot Here0