Data Science in Finance Course
This course equips you with practical data science skills tailored for finance, focusing on data preparation, risk analysis, client behavior insights, and effective reporting to drive actionable business decisions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This short Data Science in Finance course teaches you how to clean and validate financial time series, spot missing data and outliers, and align trading calendars for proper analysis. You will calculate key risk and performance metrics, create clear dashboards and visualizations, examine client behaviour, and convert portfolio insights into practical product improvements, alerts, and risk profiling upgrades you can use right away.
Elevify advantages
Develop skills
- Financial data cleaning: validate schemas, fix missing values, tame outliers fast.
- Time-series modelling: resample trading data, align calendars, handle holidays.
- Portfolio risk analytics: compute volatility, drawdowns, and key performance ratios.
- Behavioural 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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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