Data Science for Stock Market Analysis

Stock market analysis requires the processing of vast amounts of data to extract meaningful insights that can aid traders, investors, and financial analysts in making informed decisions. By applying data science techniques such as statistical modeling, machine learning, and advanced data visualization, stock market data can be analyzed to identify trends, predict price movements, and detect anomalies.