What is your preferable way to analyse Big Data so far?
Data and basic methods of their analysis are the specific content of the course. In classical statistics, data is nothing more than a means for identifying and testing a mathematical model of the phenomenon to which they relate. Data mining and knowledge discovery use data to enrich any knowledge about a phenomenon. The term "knowledge" can refer to a wide variety of forms of information, from individual facts to literary heroes and scientific laws. We view data analysis as an intermediate-level discipline focused on enriching theoretical knowledge. The main structural elements of knowledge are (a) concepts and (b) statements about their relationship. Accordingly, there are two most direct ways of enriching knowledge - the formation of new concepts and new connections between them. Are there any other ways? Like how do you personally think and approach the data analytics? Please share.