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Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information.  

All teaching and training is specifically tailored towards the need of the client. 

Statistical analysis refers to the tools and techniques which bring meaning to data, drawing out insights, solutions and evidence.  

Survey Data Analysis is often believed to be some sort of ‘number crunching’. Though some number crunching is required for the analysis of Survey Data, but in real terms ‘Survey Data Analysis” is something less esoteric. The main purpose of data analysis is to explore hidden insights that can improve understanding and help in better decision making. Therefore, we can define “Survey Data Analysis” as a process of story telling using the survey results.