A Data-driven Approach to the Careers in Data Science: As Seen through the Lens of Data
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Abstract
Consider a world in which there is no data. Consider the sheer volume of information that is already available. Both are equally impossible to imagine. Several petabytes of data are created every second of every day. However, large amounts of data, often known as big data, are not helpful in and of themselves until they are processed and computed. Data is everywhere, but there isn't a thought to think about it, as John Allen Paulos memorably put it once. We are surrounded by an overwhelming amount of information. However, the true benefit of having data and analytics teams is in the insights that may be derived from this data. Before it can be put to use, big data must first be investigated, managed, analyzed, and understood, among other things. In the recent past, organizations have enlisted the assistance of unicorns to assist them in solving this challenge. There are unicorns named data scientists who can assist them in storing, retrieving, and taming their unstructured information. In this study, we aim to be able to obtain predictive insights from the data by utilizing sophisticated analytics tools and techniques.
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