track
Applied Finance in Python
Start track for free
Included withPremium or Teams
PythonApplied Finance16 hours10,749
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Training 2 or more people?
Try DataCamp for BusinessLoved by learners at thousands of companies
Track Description
Applied Finance in Python
Prerequisites
There are no prerequisites for this trackCourse
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Course
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
Course
Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.
Course
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
Applied Finance in Python
4 courses
Track Complete
Earn Statement of Accomplishment
Add this credential to your LinkedIn profile, resume, or CVShare it on social media and in your performance review
Included withPremium or Teams
Enroll nowFAQs
Join over 15 million learners and start Applied Finance in Python today!
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.