4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
The Data Science for Finance Course equips you with practical tools to clean equity data, manage missing values, and adjust for corporate actions to ensure reliable analysis. You will learn to conduct exploratory studies, assess strategies through robust backtests, and interpret performance using clear risk and return metrics. By the end, you will be prepared to develop rules-based approaches and communicate results confidently to any stakeholder.
Elevify Advantages
Develop Skills
- Analyse market returns: compute statistics, correlations, and rolling risk quickly.
- Clean equity data efficiently: address outliers, gaps, biases, and corporate actions.
- Backtest trading rules: construct walk-forward tests with Sharpe ratio and drawdown evaluations.
- Design rules-based portfolios: handle sizing, rebalancing, risk limits, and execution.
- Explain strategy results: attribute performance and report insights in straightforward English.
Suggested Summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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