Data Science and Engineering

Data Science and Data Engineering are two interconnected fields focused on managing and extracting value from data. Data Engineering involves building the infrastructure—such as databases and pipelines—that collect, store, and organize data efficiently. Data Science uses this infrastructure to analyze and interpret data, uncover patterns, and make predictions or informed decisions. Together, they enable organizations to leverage data for strategic insights, automation, and improving processes. While Data Engineering sets the foundation, Data Science applies analytical techniques to transform raw data into meaningful, actionable knowledge.