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Learn Python and R through prices, portfolios, and investment strategies. Each path starts with the programming foundations and gradually moves towards working with financial data and testing investment ideas.

PY Python for Investing 38 lessons, about 6 hours. Build the foundations, work with market data, and test investment ideas. R R for Investing 31 lessons, about 5 hours. Learn data analysis, portfolio work, and reproducible financial research.

Guide: How do I get market data into Python? Four routes to prices in a DataFrame, from free sources to Interactive Brokers and LSEG, and what each one costs you.