Data science deals with identifying, representing and extracting meaningful information from data sources to be used to perform some business logics.The data scientist uses machine learning, statistics, probability, linear and logistic regression and more in order to make out some meaningful data. Finding patterns and similar combinations and cracking the best possible path way according to the business logic is the biggest job of analysis.
R, Python, SQL, SAS, Tableau, MATLAB, etc. are of the most useful tools for data science, R and Python being the most used ones. But still, it becomes confusing for any newbie to choose the better or the most suitable one among the two, R and Python. Let’s try to visualize the difference.
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