Neither an age-old concept, nor a forgotten domain! Programming is a quintessential part of data science industry; guiding big business decisions with powerful data visualization tools. When thinking of programming, R and Python are the two leading programming languages that come to the fore with major trust vested.
The world is witnessing an explosion of diverse programming languages; that power diverse facets of data science industry. Picking the right one that suits your career expertise and powers your role is the key. This quick differential takes on what matters to you while picking the most appropriate programming languages for a given machine learning task is essential to dig in.
As a data science specialist, you must not go bonkers when deciding which programming language suits the best for the given task. This skill can be enhanced by becoming an online certification professional who aims at earning the most recent skill upgrades with finesse. You are expected to be on top of the emerging trends and technologies including the most recent addition to the programming languages pool; that evolves with every passing second. This read will come in handy to surface the major diversities that the two programming giants feature and enable you to make the right choice!
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