Beginner 12 weeks 3 courses
Beginner Quant Trading Strategies
Start your journey in quantitative trading by mastering Python, data analysis, and foundational statistics. Build your first systematic trading strategies with proper backtesting and risk controls.
Who Is This For?
- Complete beginners to programming and quant trading
- Finance professionals wanting to learn systematic trading
- Students interested in algorithmic trading careers
Prerequisites
- Basic computer literacy
- High school mathematics
At a Glance
3
Total Courses
34
Practice Exercises
~12
Weeks to Complete
What You'll Learn
Write clean, production-ready Python code for financial analysis
Manipulate and analyze market data using Pandas
Apply statistical methods to validate trading ideas
Build and backtest basic trading strategies with realistic assumptions
Understand risk metrics and position sizing fundamentals
Structured Learning Path
1
Python Fundamentals
Learn the basics of Python programming — variables, types, control flow, and functions. The foundation for everything else.
Learning Outcome
Write clean Python scripts and solve core programming tasks confidently.
3 weeks 4 chapters 10 exercises
2
Pandas for Data Analysis
Work with DataFrames, cleaning, filtering, and transformations so you can structure market datasets effectively.
Learning Outcome
Prepare raw market datasets into model-ready tables.
4 weeks 5 chapters 12 exercises
3
Statistics Fundamentals
Build core statistical intuition: distributions, hypothesis testing, confidence intervals, and correlation vs causation.
Learning Outcome
Evaluate signals with statistical discipline instead of intuition alone.
5 weeks 5 chapters 12 exercises
Ready to Start Your Journey?
Enroll in this data.roadmap to track your progress through the structured learning path.