Data Analysis is used in many industries to allow companies and organization to make better business decisions. Data Analysis is one of the many steps that must be completed when conducting a research but it assumes special significance. Data when collected from various primary and secondary sources is in its raw form are incredibly useful but also overwhelming. It is almost impossible for researcher to deal with all this data in its raw form. Through data analysis such data is presented in a suitable and summarized form without any loss of relevant information so that it can be efficiently used for decision making. Data can be presented in the tabular or graphic form. The tabular form (tables) implies numerical presentation of data. The graphical form (figure) involves the presentation of data in terms of structure which can be visually interpreted, e.g., Bar charts, Pie charts, Histograms, Line charts etc. Charts, graphs and textual write ups of data are all form of data analysis. These methods are designed to refine and distill the data so that readers can have clean interesting information without needing to sort through all of the data on their own. It has to be noted that research data analysis provides the crucial link between research data and information that is needed to address research questions. Data Analysis has multiple facets and approaches, encompassing diverse statistical techniques, under a variety of names in different businesses, science and social science domains. Analysis of data means studying the tabulated material in order to determine inherent facts or meaning. A plan of analysis can and should be prepared in advance before the actual collection of material. Processing and analysis of data is always found to be interwoven. Many experts are of the view that analysis of data is different from processing of data