In the last decade, enormously large amounts of data were generated with the advent of smartphones and increased access to the internet. Businesses quickly realized the fact that user-generated data is the key to target their prospective customers, as it allows them to peep into the personal product preferences of people in general.
As per a Statista report, 76% of LinkedIn data science openings in the US in 2019 demanded knowledge of Python.
Besides, per a 2019 survey report by Business Broadway, Python has emerged as a mandatory language to execute AI and Data Science tasks. Three out of 4 executives active in the data science industry believe that aspiring professionals must have a good grasp on the fundamentals of Python to be able to transform data insights into report-friendly documents.
Packages in Python such as SciPy, NumPy, and Pandas have proved themselves as the most compatible with generating great results for data analytics operations.
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