Analyze Stocks with Pandas, Numpy, Seaborn & ChatGPT. Create, analyze & optimize Index & Portfolios (CAPM, Alpha, Beta)
InstructorAlexander Hagmann
Editorial course preview
This view highlights a concrete, legible example from the course presentation.
This visual outline presents the course structure in three progressive stages: starting with Pandas basics, moving to managing financial data, and concluding with a final capstone project.
The curriculum provides depth in financial computations, including stock index creation, rolling statistics, and portfolio optimization using Modern Portfolio theory concepts.
Learning is supported by interactive coding labs and a multi-part capstone project designed to simulate a financial analyst role.
Instruction is described as clear and captivating, with well-labeled sections that correspond to specific Jupyter notebooks for efficient navigation.
Some technical instructions may require manual updates, such as adjusting matplotlib style syntax to remain compatible with current versions. Note that one signal regarding this issue was recorded prior to the displayed update date; while an update label is present, it does not prove a correction has been made.
The curriculum aligns with the goals of finance professionals and students seeking to use Python for data analysis.