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Data Analytics, for the uninitiated, is the science of analyzing raw data in order to make conclusions about that information. The techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data and make it easy for our consumption.
Data Analytics, for the uninitiated, is the science of analyzing raw data in order to make conclusions about that information. The techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data and make it easy for our consumption.
While businesses understand the importance of data science and analytics in charting their growth, each one of us needs to understand its relevance in our own daily lives and in our individual growth stories. There is an ocean of data around us. We just need to pick up the most relevant ones affecting our lives in the near future or in the long term.
While businesses understand the importance of data science and analytics in charting their growth, each one of us needs to understand its relevance in our own daily lives and in our individual growth stories. There is an ocean of data around us. We just need to pick up the most relevant ones affecting our lives in the near future or in the long term.
Analytics in daily life is a way of thinking and acting. Most of us use analytics to resolve problems faced in our day-to-day lives, mostly without even realizing it. Time has come to consciously adopt principles of data science and analytics and make it a way of life to draw its maximum benefits.
Analytics in daily life is a way of thinking and acting. Most of us use analytics to resolve problems faced in our day-to-day lives, mostly without even realizing it. Time has come to consciously adopt principles of data science and analytics and make it a way of life to draw its maximum benefits.
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