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). EDA and CDA are fundamental concepts of data analytics, and it is important to understand the difference between the two.
EDA involves 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 methodologies, tools, and techniques used to provide an insight or conclusion on a specific question based on a hypothesis and statistical techniques or simple observation of the data.
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