What is the difference between an AI project and a Data Science project ?

An AI project generally focuses on building a system that can perform tasks such as prediction, classification, or recommendation. A Data Science project focuses on collecting, cleaning, analyzing, and visualizing data to discover patterns and support decision-making. For example, an AI project could involve building a movie recommendation system, while a Data Science project could analyze sales data to identify customer trends. These two areas can also work together. A sales analysis project might use data visualization first and then apply machine learning to predict future sales. MH Cognition's BCA in AI and Data Science learning pathway introduces students to both AI-related applications and data-focused learning, helping them explore these connected technology fields. My suggestion: Start by learning data analysis and programming fundamentals, then explore machine learning through small projects. This approach can help you understand how AI and Data Science complement each other in practical applications.