Data Science in Finance Course
Master data science in finance using real trading data. This course teaches time-series cleaning, risk metrics calculation, performance attribution, dashboard creation, and alert systems to convert portfolio signals into actionable decisions for product, risk, and engineering teams. Gain practical skills to analyse financial data effectively and drive business improvements.

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.What our students say
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