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.

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

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

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

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

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 perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

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.