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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 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 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

I was just promoted to Intelligence Advisor for the Prison System, and the Elevify course was crucial for me to be the chosen one.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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