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Data Science for Finance Course

Data Science for Finance Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

The Data Science for Finance Course provides practical tools to clean equity data, handle missing values, and adjust for corporate actions so your analysis is reliable. Learn to run exploratory studies, evaluate strategies with robust backtests, and interpret performance using clear risk and return metrics. Finish ready to design rules-based approaches and communicate results confidently to any stakeholder.

Elevify advantages

Develop skills

  • Analyse market returns: compute stats, correlations, and rolling risk in minutes.
  • Clean equity data fast: fix outliers, gaps, biases, and corporate actions.
  • Backtest trading rules: build walk-forward tests with Sharpe and drawdown checks.
  • Design rules-based portfolios: sizing, rebalancing, risk limits, and execution.
  • Explain strategy results: attribute performance and report insights in plain 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.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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