Data Science in Finance Course
Master data science in finance with real trading data. Learn time-series cleaning, risk metrics, performance attribution, dashboards, and alerts so you can turn portfolio signals into clear decisions for product, risk, and engineering teams.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This concise Data Science in Finance course shows you how to clean and validate financial time series, detect missing data and outliers, and align trading calendars for accurate analysis. You will compute key risk and performance metrics, build clear dashboards and visualizations, analyze client behavior, and turn portfolio insights into concrete product improvements, alerts, and risk profiling enhancements you can apply immediately.
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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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