What is the difference between Data Science and Applied Data Science? 

Data Science is a broad field involving the analysis of large datasets to extract insights and inform decision-making. Applied Data Science is a more focused application of data science techniques to solve real-world problems in specific domains or industries, emphasizing practical solutions within a targeted context.