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Why You Need RAG to Stay Relevant as a Data Scientist

KDnuggets

By Nate Rosidi , KDnuggets Market Trends & SQL Content Specialist on June 11, 2025 in Language Models Image by Author | Canva If you work in a data-related field, you should update yourself regularly. Data scientists use different tools for tasks like data visualization, data modeling, and even warehouse systems.

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The 7 Most Useful Jupyter Notebook Extensions for Data Scientists

KDnuggets

By Cornellius Yudha Wijaya , KDnuggets Technical Content Specialist on June 18, 2025 in Data Science Image by Author As a data scientist, Jupyter Notebook has become one of the first platforms we learn to use, as it allows for easier data manipulation compared to standard programming IDEs.

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Four Data Engineering Fundamentals All Data Scientists Must Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Data Science is a team sport, we have members adding value across the analytics/data science lifecycle so that it can drive the transformation by solving challenging business problems.

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Window Functions – A Must-Know Topic for Data Engineers and Data Scientists

Analytics Vidhya

The post Window Functions – A Must-Know Topic for Data Engineers and Data Scientists appeared first on Analytics Vidhya. Overview Get to know about the SQL Window Functions Understand what the Aggregate functions lack and why we need Window Functions in SQL.

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Data Engineer vs Data Scientist: Which Career to Choose?

Analytics Vidhya

In the world of data, two crucial roles play a significant part in unlocking the power of information: Data Scientists and Data Engineers. But what sets these wizards of data apart? Welcome to the ultimate showdown of Data Scientist vs Data Engineer!

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Data Scientist vs Data Analyst vs Data Engineer

KDnuggets

In this article, I will describe three of the most promising career options within the data industry? — data analytics, data science, and data engineering.

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Common mistakes Data Engineers do in their Learning Path

Analytics Vidhya

ArticleVideo Book It has been lately called that ‘data scientist’ is the sexiest job of the 21st century. However, now, data engineering jobs are. The post Common mistakes Data Engineers do in their Learning Path appeared first on Analytics Vidhya.