Surviving the Data Science Behavioral Interview

This article breaks down each essential math discipline, explains its role in data science, and maps out an efficient learning path you can start today.

How Gemini solved my Pandas problem in seconds, and why data science fundamentals still matter to spot suboptimal solutions The post I Spent an Hour on a Data Preprocessing Task Before Asking Gemini appeared first on Towards Data Science.

Most organizations are struggling to use AI insights. Even as it’s been easier than ever to produce predictions, recommendations and scores, many data science and business teams end up with a stockpile of unused information that doesn’t drive meaningful transformation. Decision intelligence helps organizations bridge that gap by embedding insights [...] The post Decision intelligence: Why insights alone don’t create value appeared first on SAS Blogs.

A US federal judge has ruled that the Trump administration’s $100,000 fee on new H-1B visa petitions was unlawful, giving technology companies temporary relief from a policy that threatened to raise the cost of hiring foreign skilled workers. The decision removes, at least for now, a major cost burden for employers that use the H-1B program to fill roles in domains including software development, cloud computing, data science, and AI. US District Judge Leo Sorokin in Boston found that the fee functioned as a tax that the administration did not have authority to impose without congressional approval. The ruling came in a lawsuit brought by 20 Democratic state attorneys general challenging the fee. Standard employer costs for H-1B petitions typically range from about $2,000 to $5,000, making the proposed $100,000 payment a sharp increase for companies seeking foreign talent. The ruling is unlikely to end uncertainty for employers, with the Trump administration expected to appeal. But it

Learn how AI agents are reshaping data science workflows and which skills practitioners need in 2026.

AI agents can quickly become expensive without a clear strategy for planning, skill coverage, and budgets. This article shows how to use operations research and data science to optimize AI agent cost and resource allocation. You will learn how to frame common agent problems—skill coverage, project assignment, and budgeting—as set covering, assignment, and knapsack optimization models in Python using Gurobi. The post Optimizing AI Agent Planning with Operations Research and Data Science appeared first on Towards Data Science.

Learn how to utilize Python's Mimesis library for anonymizing sensitive production data, based on a step-by-step example to try yourself.

In the world of data science, SQL still remains the powerful tool for defining the data, data manipulation, data aggregation and data analysis. While basic SQL commands are very fundamental, and everyone knows about it. If you want to be the unique in the crowd then you should know advanced features like window functions that […] The post 40 Advanced SQL Window Functions Every Data Scientist Must Know(with examples) appeared first on Analytics Vidhya.