The key difference between AI, ML, Deep Learning, Data Science, and Big Data

It helps in Building data-dominant products, which is the aim of a business. All data kinds, whether structured, unstructured, or semi-structured, are covered. As data science includes data scraping, cleaning, visualization, statistics, and many other techniques, it is a superset of data mining. The majority of its uses are scientific. Since it mainly focuses on data science, it bags the question, how data science and big data are different from one another?