Mathematics of Data Science

Mathematics of Data Science involves using mathematical tools and principles to analyze and interpret large amounts of data. It includes techniques like statistics to summarize information, probability to make predictions, and algorithms to find patterns. These methods help uncover insights, make informed decisions, and solve complex problems across fields such as finance, healthcare, and technology. Essentially, it provides the foundation for turning raw data into meaningful and actionable knowledge through structured, logical processes.