Learning and Experience: Gain hands-on exeperience with Python programming, data analysis and
machine
learning techniques.
Understanding Financial Applications: Learn how data analysis can be used in finance and
investment
to
interpret market trends, assess risks, and optimize portfolios.
Data Analysis and Visualization: Use of libraries like pandas, numpy and matplotlib, to name a
few,
to
analyse market data and create visyualizations that enhance understanding of financial metrics.
Machine Learning: Experiment with machine learning models to explore their potential in
predicting
stock
performance amd optimizing investment strategies.
Features
Stock Data Collection: Tools for downloading and preprocessing stock data from yfinance.
Data Analysis and Visualization: Methods for performing data analysis and creating
visualizations to identify
