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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?

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 your analysis is solid. You will learn to conduct exploratory studies, assess strategies through strong backtests, and interpret performance using straightforward risk and return measures. By the end, you will be prepared to create rules-based approaches and share results confidently with 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

Your lessons 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, and I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get 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 extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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