Data analytics is the process of applying qualitative and quantitative techniques when examining data, with the goal of providing valuable insights. Using various techniques and concepts, data analytics can provide the means to explore the data exploratory data analysis (EDA) as well as draw conclusions about the data confirmatory data analysis (CDA). The EDA and CDA are fundamental concepts of data analytics, and it is important to understand the differences between the two.
EDA involves the methodologies, tools, and techniques used to explore data with the intention of finding patterns in the data and relationships between various elements of the data. CDA involves the methodologies, tools, and techniques used to provide an insight or conclusion for a specific question, based on hypothesis and statistical techniques, or simple observation of the data.