Data Collection: Gathering data from various sources using APIs, web scraping, or manual entry. Data Cleaning: Ensuring the data is accurate, consistent, and free from errors. Data Transformation: Converting data into a common format for easier analysis. Data Storage: Storing the data in databases or cloud storage solutions. Data Analysis: Using statistical and machine learning algorithms to derive actionable insights.
