Data Science for Finance Course
Gain expertise in data science for finance through cleaning market data, analysing returns, and backtesting rules-based equity strategies. Master risk metrics, performance attribution, and robust portfolio design to enable sharper, data-driven investment decisions in financial markets.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course equips you with practical tools to clean equity data, manage missing values, and adjust for corporate actions for reliable analysis. You will conduct exploratory studies, perform robust backtests on strategies, and interpret results using key risk and return metrics. By the end, you can design rules-based approaches and confidently present findings to stakeholders.
Elevify advantages
Develop skills
- Analyze market returns by computing statistics, correlations, and rolling risks quickly.
- Clean equity data efficiently by fixing outliers, gaps, biases, and corporate actions.
- Backtest trading rules using walk-forward tests with Sharpe ratio and drawdown analysis.
- Design rules-based portfolios covering sizing, rebalancing, risk limits, and execution.
- Explain strategy results by attributing performance and reporting insights clearly.
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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