Data Science and Data Analytics are related subjects but they have distinct differences. Data Science is a broad term for developing and using scientific methods, processes and algorithms to analyse large sets of raw and structured data such as big data. Data scientists look for answers to questions that businesses and organisations don’t know, or establish solutions to problems that haven’t yet been thought of. Data Analytics is more focused and concentrates on carrying out statistical analysis on existing data sets. It can be used to measure events in the past, present, or future. Data Analytics tends to be slightly more business and strategy focused.
Core skills needed in Data Science and Data Analytics include programming, machine learning, statistics and statistical analysis. Artificial Intelligence (AI) is also becoming important due to advances in data driven AI.