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There are lots of topics floating around in the space of data analysis like statistical modeling, predictive modeling. There have always been questions in mind which technique to choose? which is preferred way for data analysis? Some articles and lecture highlight machine learning or mathematical model over statistics modeling limitations. They mention mathematical modeling as a next step of accuracy and prediction. This kind of articles create more questions in mind of naive user.
Finally, i would thank to coursera.org for zero down this confusion and stating a clear picture of Data Analysis drivers. Now, things are pretty clear in terms of How to proceed on data analysis? Rather, defining “DATA ANALYSIS DRIVERS”. In one liner the answer is simple “Define a question or problem“. So, all depend upon how you define the problem.
To start with data analysis drivers here are steps in a data analysis
Henceforth, The data set and model may depend on your goal:
From here knowledge on statistics, machine learning and mathematical algorithm works
Re-post from my original article on WordPress: http://datumengineering.wordpress.com/2013/02/11/data-analysis-driver/