Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Learn the fundamentals of valuing stocks.

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

In this course, you'll learn how to import and manage financial data in Python using various tools and sources.

Learn how to access financial data from local files as well as from internet sources.