skill track
Finance Fundamentals in Python
Learn the finance and Python fundamentals you need to make data-driven financial decisions. There’s no prior coding experience needed. In this track, you’ll learn about data types, lists, arrays, and the time value of money, before discovering how to work with time series data to evaluate index performance. Throughout the track, you’ll work with popular Python packages, including pandas, NumPy, statsmodels, and pyfolio, as you learn to import and manage financial data from different sources, including Excel files and from the web. Hands-on exercises will reinforce your new skills, as you work with real-world data, including NASDAQ stock data, AMEX, investment portfolios, and data from the S&P 100. By the end of the track, you'll be ready to navigate the world of finance using Python—having learned how to work with investment portfolios, calculate measures of risk, and calculate an optimal portfolio based on risk and return.
Python25hrs6 coursesStatement of Accomplishment
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 Business
Loved by learners at thousands of companies
AI ASSISTANTUnlock Your Potential with Customized LearningNot sure where to start? Our AI assistant digs into your goals and interests to recommend the perfect courses. Start building skills that matter to you and your career.
For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and moreInstructors
FAQs
Join over 13,640,000 learners and start Finance Fundamentals 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.