Learning Paths
Structured programs that sequence Academy courses toward a clear goal, so you always know what to learn next and why it matters.
Why a path
A sequence, not a pile of courses
Knowing what to study is half the challenge. Each learning path orders Academy courses so every one builds on the skills of the last, then finishes with a capstone that ties the work together.
- Goal-first design around a role or research focus, not a topic list
- Clear order that respects each course's prerequisites
- A capstone project that shows the full skill set in one piece of work
- Flexible entry points so prior experience lets you skip ahead
Five structured programs
Choose the path that matches your goal
Courses are listed in the order we recommend taking them. Each links to its full curriculum.
Beginner
Trading Foundations
Who it's for: complete beginners, college students and self-directed learners who want to understand markets and write their first analysis code.
- Market vocabulary
- Order types
- Risk sizing
- Python
- pandas
Capstone idea: a notebook that loads daily prices for two ETFs tracking the same index, compares their behavior and sets out a written risk plan for a hypothetical paper portfolio.
Beginner to Intermediate
Python Algo Developer
Who it's for: developers and engineering students who want to turn trading ideas into tested Python code.
- pandas & NumPy
- Indicators in code
- Strategy rules
- Event-driven backtests
- Cost modeling
Capstone idea: a tested indicator library feeding a rule-based strategy, with a backtest report that includes commissions, slippage and drawdown analysis.
Intermediate to Advanced
Quantitative Research
Who it's for: aspiring quant researchers and analysts who want to study systematic strategies with statistical rigor.
- 1. Python Programming for Financial Markets
- 2. Algorithmic Trading with Python
- 3. Factor Models & Quantitative Research
- 4. Machine Learning for Financial Data
- Statistics
- Factor models
- Robustness testing
- Time-series validation
- Research writing
Capstone idea: a momentum or value factor study with sensitivity and regime analysis, written up as a research report that documents assumptions and limitations.
Intermediate to Advanced
AI Financial Data Analyst
Who it's for: data scientists and analysts who want to apply machine learning and NLP to financial data responsibly.
- 1. Python Programming for Financial Markets
- 2. Building Financial Dashboards & Applications
- 3. Machine Learning for Financial Data
- Data pipelines
- Feature engineering
- NLP sentiment
- scikit-learn
- Dashboards
Capstone idea: a headline sentiment pipeline that ingests and validates text data, classifies it and presents results with honest error analysis on a research dashboard.
Intermediate to Advanced
Algorithmic Strategy Engineer
Who it's for: software engineers who want to design strategies and build the research tooling that tests them end to end.
- 1. Python Programming for Financial Markets
- 2. Algorithmic Trading with Python
- 3. Factor Models & Quantitative Research
- 4. Building Financial Dashboards & Applications
- Backtest engineering
- Portfolio analytics
- API design
- Time-series storage
- Testing
Capstone idea: a small research service that runs parameterized backtests, stores the results and serves a robustness dashboard through a documented API.
Your own route
Not seeing your goal?
Paths are a recommendation, not a requirement. You can take any course on its own once you meet its prerequisites, or combine courses with a live bootcamp for more structure.
- Check each course's prerequisites on its details page
- Skip courses where you already have equivalent skills
- Tell us your goal and we can suggest a sequence
How a path progresses
Four stages on every route
Foundations
Market concepts and Python skills that every later course relies on.
Core build skills
Strategy rules, backtests or data pipelines, depending on the path you choose.
Specialization
Factor research, machine learning or application engineering for your goal.
Capstone
One substantial project that demonstrates the path's skills together.
Side by side
Compare the learning paths
See which courses each path includes and what kind of capstone it ends with.
| Course | Trading Foundations | Python Algo Developer | Quantitative Research | AI Financial Data Analyst | Algorithmic Strategy Engineer |
|---|---|---|---|---|---|
| Global Financial Markets Fundamentals | Included | - | - | - | - |
| Python Programming for Financial Markets | Included | Included | Included | Included | Included |
| Algorithmic Trading with Python | - | Included | Included | - | Included |
| Factor Models & Quantitative Research | - | - | Included | - | Included |
| Machine Learning for Financial Data | - | - | Included | Included | - |
| Building Financial Dashboards & Applications | - | - | - | Included | Included |
| Starting level | Beginner | Beginner | Beginner, or skip ahead with Python skills | Beginner, or skip ahead with Python skills | Beginner, or skip ahead with Python skills |
| Capstone focus | Market analysis and risk plan | Strategy and backtest report | Factor research report | Sentiment data pipeline | Backtest research service |
Paths are previews. Course order and capstone briefs may be refined before enrollment opens. Completing a path earns certificates of completion for its courses; these are not professional licenses or qualifications.
Path FAQs
All FAQsPicking and following a path
Yes. Most paths share Python Programming for Financial Markets and several share Algorithmic Trading with Python, so courses you complete carry over to another path.
Review the Python Programming for Financial Markets curriculum. If you are comfortable with pandas, time-series data and APIs, you can start at the second course of your chosen path.
We do not promise placements or outcomes. A path gives you structured skills and a capstone you can show, which you can use when applying for roles or further study.
Learning paths
Tell us which path you are considering
Register your interest with the path or goal you have in mind. We will share formats, schedules and pricing as enrollment opens.