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வெள்ளி, பிப்ரவரி 20, 2026 ,மாசி 8, விசுவாவசு வருடம்

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Data Scientist

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Data Scientist

Data Scientist

Data Scientist


பிப் 19, 2026 03:58 PM

பிப் 19, 2026 03:58 PM

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பிப் 19, 2026 03:58 PM பிப் 19, 2026 03:58 PM


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நிறம் மற்றும் எழுத்துரு அளவு மாற்ற

Overview
In the digital era, information has become the driving force behind every successful enterprise. Companies rely heavily on data not only to accelerate growth but also to understand customer preferences and market behaviour. At the heart of this data-driven transformation is the data scientist.

A data scientist examines vast volumes of organisational data and extracts meaningful insights. What may appear as mere numbers and statistics are interpreted, structured and presented as clear, impactful narratives that support business strategy.

The core responsibility of a data scientist is to gather essential data from diverse sources and analyse it using advanced technologies such as machine learning. Through these methods, they forecast market trends, anticipate customer demands and help organisations stay ahead of the competition.

By delivering precise, data-backed solutions to complex business challenges, data scientists serve as key decision-support partners within companies.

Education
Students aspiring to enter this field after completing Class 12 are encouraged to pursue undergraduate studies in mathematics, statistics, computer science or related disciplines. In addition, gaining proficiency in programming languages such as Python, R and SQL, along with data visualisation tools like Tableau through online certification programmes or bootcamps, can significantly enhance career prospects.

Employment
The data science sector in India is expanding rapidly, with projections indicating nearly 54 per cent growth by 2030. Strong demand exists across industries including banking, healthcare, e-commerce and automobile manufacturing.

For students, focusing on emerging domains like data science — alongside traditional education — is crucial. With the right skills, continuous learning and dedication, one can build a successful career as a data scientist and contribute innovative solutions globally.

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