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Top 26 Data Science Tools for Data Scientists in 2024

Analytics Vidhya

Introduction The field of data science is evolving rapidly, and staying ahead of the curve requires leveraging the latest and most powerful tools available. In 2024, data scientists have a plethora of options to choose from, catering to various aspects of their work, including programming, big data, AI, visualization, and more.

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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

Driven by significant advancements in computing technology, everything from mobile phones to smart appliances to mass transit systems generate and digest data, creating a big data landscape that forward-thinking enterprises can leverage to drive innovation. However, the big data landscape is just that.

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Who are Citizen Data Scientists and What Do they Do?

Analytics Vidhya

Introduction In today’s data-driven world, the role of data scientists has become indispensable. in data science to unravel the mysteries hidden within vast data sets? But what if I told you that you don’t need a Ph.D.

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10 Must-Have Big Data Skills to Land a Job in 2023

Analytics Vidhya

Introduction In the rapidly evolving world of modern business, big data skills have emerged as indispensable for unlocking the true potential of data. This article delves into the core competencies needed to effectively navigate the realm of big data.

Big Data 269
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Women Leaders in Data Science: Top 10 Influentials from the Industry

Analytics Vidhya

Introduction The thriving industry of Data Science is continuously evolving with the technological advancements in Machine Learning and Artificial intelligence. This has opened up whole new avenues for Data Scientists worldwide.

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Ethics, governance and data for good at the AI & Big Data Expo

AI News

The AI & Big Data Expo stood out for its great mixture of speakers, not only targeting people working within data, but making the topics feel completely accessible to somebody like me, who isn’t a data scientist by background.

Big Data 260
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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.