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Data Science for Finance Course

Data Science for Finance Course
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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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