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Data Science in Finance Course

Data Science in Finance Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This focused Data Science in Finance course teaches cleaning and validating financial time series, detecting missing data and outliers, aligning trading calendars for precise analysis. Learners will compute essential risk and performance metrics, create intuitive dashboards and visualisations, analyse client behaviour patterns, and transform portfolio insights into practical product enhancements, alerts, and improved risk profiling applicable right away.

Elevify advantages

Develop skills

  • Financial data cleaning: validate schemas, fix missing values, tame outliers fast.
  • Time-series modeling: resample trading data, align calendars, handle holidays.
  • Portfolio risk analytics: compute volatility, drawdowns, and key performance ratios.
  • Behavioral client insights: segment investors, test hypotheses, detect stress reactions.
  • Executive-ready reporting: build clear dashboards, visuals, and plain-English summaries.

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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