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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. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Data Modeling vs Data Analysis: An In-Depth Comparison

Marktechpost

Data modeling and data analysis are two fundamental ideas in the contemporary field of data science that frequently overlap but are very different from one another. Anyone who works with data, whether they are an IT specialist, business analyst, or data scientist, must be aware of their distinctions.

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Introduction to TIBCO Spotfire for Interactive Data Visualization and Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction This article will introduce you to the Spotfire Business Intelligence tool for creating interactive visualization, performing data analysis, and data science. The latest version is Spotfire 11.

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A beginner tale of Data Science

Becoming Human

Data Science You heard this term most of the time all over the internet, as well this is the most concerning topic for newbies who want to enter the world of data but don’t know the actual meaning of it. I’m not saying those are incorrect or wrong even though every article has its mindset behind the term ‘ Data Science ’.

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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. This article explores how AI and Data Science complement each other, highlighting their combined impact and potential.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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Why and How can you do a Masters in Data Science in India?

Pickl AI

Summary: A Masters in Data Science in India prepares students for exciting careers in a growing field. Introduction In today’s data-driven world, Data Science is crucial across industries, transforming raw data into actionable insights. Why Pursue a Master’s in Data Science?