Data analytics refers to the process of examining, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision making. Data analytics can be applied to various types of data such as structured data (e.g. database tables), semi-structured data (e.g. XML files), and unstructured data (e.g. natural language text)
There are different techniques and tools used in data analytics, including data visualization, statistical analysis, machine learning, and predictive modeling. Data analytics can be used in a variety of fields, such as business, finance, healthcare, and scientific research, to gain insights and make data-driven decisions.
It's worth noting that data analytics is a multidisciplinary field that combines computer science, statistics, and domain-specific knowledge. As such, it requires a combination of technical and domain-specific skills, as well as a good understanding of the data and the problem being solved.
