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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI.

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What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

ODSC - Open Data Science

Just as a writer needs to know core skills like sentence structure and grammar, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and soon. Theyre looking for people who know all related skills, and have studied computer science and software engineering.

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Data Science Cheat Sheet for Business Leaders

Pickl AI

Data science is the process of extracting the valuable minerals – the insights – that can transform your business. It’s a blend of statistics, computer science, and domain knowledge used to extract knowledge and create solutions from data. Data science for business leaders isn’t about becoming a coding pro.

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Must Know Differences Between Data Science and Data Analytics

Pickl AI

Data Science is a broad, multidisciplinary field that encompasses mathematics, computer science, and statistics to collect, manage, and analyze large-scale data. It aims to uncover patterns, develop predictive models, and create AI applications. For example, a weather app predicts rainfall using past climate data.

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Top Data Science Facts You Should Know

Pickl AI

Automation, ethical AI, and quantum computing will shape Data Science by 2025. What Is Data Science? At its core, Data Science is an interdisciplinary field that combines mathematics, statistics, computer science, and domain expertise to extract actionable insights from structured and unstructured data.