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.

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Using Python and NumPy, learn the most fundamental financial concepts.

Discover how to use the income statement and balance sheet in Power BI

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.